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hashview-old | this project is depricated it will no longer be maintained if you wish to use the latest version of hashview please checkout https github com hashview hashview hashview build status https travis ci org hashview hashview svg branch master https travis ci org hashview hashview hashview is a tool for security professionals to help organize and automate the repetitious tasks related to password cracking hashview is a web application that manages hashcat https hashcat net commands hashview strives to bring constiency in your hashcat tasks while delivering analytics with pretty pictures ready for ctrl c ctrl v into your reports requirements 1 hashcat installed and working https hashcat net hashcat 2 hashcat installed and working just double checking 3 a working rvm environment https rvm io rvm install installation involves installing mysql resque and a ruby app see wiki installation instructions https github com hashview hashview wiki 01 installing hashview developing and contributing please see the contribution guide https github com hashview hashview wiki contributing for how to develop and contribute if you have any problems please consult issues https github com hashview hashview issues page first if you don t see a related issue feel free to add one and we ll help authors contact us on twitter caseycammilleri jarsnah12 | hashcat analytics passwords hashes pentesting distributed penetration-testing security-tools password-cracking | front_end |
lwwdg | lightweight watchdog for embedded systems lwwdg is lightweight watchdog library primarily targeting operating systems to watch multiple threads and reset system if one of them fails h3 read first a href http docs majerle eu projects lwwdg documentation a h3 features written in c c11 easy to use very little platform dependency written for operating systems in mind contribute fresh contributions are always welcome simple instructions to proceed 1 fork github repository 2 follow c style coding rules https github com majerle c code style already used in the project 3 create a pull request to develop branch with new features or bug fixes alternatively you may 1 report a bug 2 ask for a feature request | os |
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moped | moped mobile open platform for experimental development of cyber physical systems this project contains source code developed in a research project on software architecture for cyber physical systems cps https moped sics se it is primarily intended for use in research and education environments the code is intended to operate on a hardware platform based on an rc car equipped with a distributed control system consisting of a number of raspberry pi rpi boards the goal is to simulate typical behavior of an automotive electronic system while providing the means for them to be easily upgradable with new plugin software and allowing them to interact with each other and other embedded systems it consists of the following packages autosar os port to raspberry pi hardware incl necessary drivers for the moped platform plugin server code which in its turn consists of a plugin manager used for managing plugin configuration and distribution and a web portal php code external communication manager ecm code running on a linux node on the moped platform and communicating with the external world for example to receive plugin binaries from the central server squawk java virtual machine port to autosar os and raspberry pi hardware plugin runtime environment pirte code running on autosar nodes on the moped platform and providing dynamic runtime properties to the autosar software such as installation and uninstallation of new software and communication services for dynamically installed plugins simulator intended to simplify plugin development off board wirelessino an android app for rc car steering using a smart phone plugin repository api for the plugin developer some useful tools to get started read everything in the doc directory building is done by running server misc buildall sh forum for discussion of the moped platform http mopedforum prophpbb com repository https github com sics sse moped | front_end |
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AI_ChatBot_Python | ai chatbot python ai chatbot using python tensorflow and natural language processing nlp along side tflearn hey guys want to learn about chatbots so the solution is here screenshot untitled png we explain about these topics in our tutorial visit youtube https www youtube com channel uc4rzp6hnt5gmlwcm0ndzuwg view as subscriber sub confirmation 1 1 what are chatbots 2 what chatbots can do 3 architecture and working of chatbots 4 core processes of chatbots 5 use cases of chatbots 6 top healthcare chatbots 7 top companies that implement chatbots in their business 8 top platforms to build chatbots and tools used in chatbot development 9 practical work build one contextual chatbot using python tensorflow and nlp it s a very informative session that discloses about chatbots and their internal working architecture along with programming this session is useful for both technical and non technical persons to get the source code follow me on github github https github com freebirdscrew ai chatbot python follow me on instagram and facebook to get updates on projects and ideas that we are working on instagram https www instagram com freebirdscrew the more you analyze more you get insights from the data | chatbot ai-chatbot chatbot-python chatbot-application ai-bots contextual-chatbot contextualized-representation python python-chatbot python-tensorflow tensorflow tensorflow-chatbot nlp-chatbot nlp-machine-learning machine-learning machine-learning-algorithms natural-language-processing natural-language-understanding chatbot-python-nlp-tensorflow | ai |
IoTgo_Android_App | iotgo android app introduction iotgo android app is a client app which is intended to be used with iotgo http iotgo iteadstudio com or other iotgo instances iotgo android app is developed using html5 and cordova http cordova apache org and it is almost identical to iotgo web app bundled in iotgo github repo https github com itead iotgo installation prerequisite node js http nodejs org an asynchronous javascipt event driven framework and yes javascript on the server bower http bower io a package manager for the web optimized for the front end cordova cli https www npmjs com package cordova the command line tool to build deploy and manage cordova based applications android sdk http developer android com sdk index html build get iotgo android app source code from github com git clone https github com itead iotgo android app change directory to iotgo android app and install dependencies cd iotgo android app www bower install change directory back to iotgo android root and build apk cd cordova build android the resulting apk which is named by cordovaapp debug apk is located at iotgo android app platforms android ant build | server |
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FreeRTOSv1011_AArch64_RaspberryPi3Bplus | freertosv1011 on aarch64 mode raspberrypi3bplus howto 1 a tf card formated in fat32 2 from the raspberrypi official release copy these binaries bootcode bin fixup dat start elf to the tf card 3 copy the binary kernel img which is built from this project to the tf card 4 add config txt file in tf card config txt is showing below armv8 arm control 0x200 uart enable uart 1 1 load at address 0x0 0 load at address 0x80000 kernel old 1 kernel name kernel kernel img 5 you need to connect the raspberrypi 3b mini uart port to your pc uart setting is showing below set line dev ttyusb0 set speed 115200 set carrier watch off set flow control none set prefixing all set streaming off set parity none | os |
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nlpArea51 | nlparea51 natural language processing playground | ai |
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seminar_hall_booking | seminar hall booking a php driven web app to facilitate and digitize the seminar hall booking process in saranathan college of engineering tamil nadu india the project started as my first ever officially useful software developed and is now being used by almost 200 300 staff members to book seminar halls across the saranathan college campus the application is written in php since it was the easiest stack to learn along with html and css and bootstrap framework to build a complete system with an interactive ui as well as a responsive backend this code is now legacy as the college it staff have taken over the responsibility of maintaining and updating the system and have built in more features along the way getting started these instructions will get you a copy of the project up and running on your local machine for development and testing purposes see deployment for notes on how to deploy the project on a live system prerequisites everything you need to install the system onto your device before cloning the repository xampp https www apachefriends org download html the php development environment used vscode any editor of your choice installing a step by step series of instructions that tell you how to get a development env running open cmd or git prompt in htdocs in xampp folder clone the repository git clone navigate to the new directory created in your preferred editor deployment boot up xampp and activate apache server mysql database server open up your browser and type http localhost seminar hall booking the project will have been deployed built with php https www php net the web development scripting language used bootstrap https getbootstrap com front end component library contributing i am sorry this project is not open for contribution authors rohit raj complete development rohitrajp https github com rohitrajp license this project is licensed under the mit license https opensource org licenses mit acknowledgments a big thanks to page rank algorithm at google amazing devs who dare to ask the silly questions and those who answer it in stackoverflow and my college staff and cs hod for assistance during and after development this application was initiated and overlooked by ms n kavitha cse dept saranathan college and is the reason this system was even developed | server |
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equinox | equinox img src https i imgur com omcxwz0 png alt eva design system height 20px https eva design pub https img shields io pub vpre equinox svg https pub dev packages equinox a eva design https eva design implementation in flutter screenshots p float left img src https i imgur com nf02pxn jpg width 49 img src https i imgur com oseeyij jpg width 49 img src https i imgur com almhkl8 jpg width 49 img src https i imgur com z7uepam jpg width 49 p tutorials and documentation you can check out the documentation in here https pub dev documentation equinox latest and wiki in here https github com kekland equinox wiki getting started depend on it add this to your package s pubspec yaml file yaml dependencies equinox 0 3 3 install it you can install packages from the command line bash flutter pub get import it now in your dart code you can use dart import package equinox equinox dart setup you have to replace materialapp or cupertinoapp with equinoxapp dart class myapp extends statelesswidget override widget build buildcontext context return equinoxapp theme eqthemes defaultlighttheme title flutter demo home homepage then instead of a scaffold you have to use eqlayout dart override widget build buildcontext context return eqlayout appbar eqappbar centertitle true title auth test subtitle v0 0 3 child mybody use it every widget in equinox is prefixed with eq for example eqbutton eqtabs etc dart eqbutton appearance widgetappearance ghost ontap label log in size widgetsize large status widgetstatus primary customization customization is done using stylist https github com kekland stylist i will write a guide on styling your app soon other eva design implementations angular https github com akveo nebular react native https github com akveo react native ui kitten icons the eva icons flutter https github com piyushmaurya23 eva icons flutter package is already integrated into equinox so you can use it right away by using evaicons credits eva design team repository https github com eva design eva contact me e mail kk erzhan gmail com | flutter ui-kit flutter-components flutter-plugin flutter-package flutter-ui flutter-widget | os |
argon-design-system | h1 id argon design system a href https www creative tim com product argon design system argon design system a h1 p img src https s3 amazonaws com creativetim bucket products 90 original opt argon thumbnail jpg alt product gif p p start your development with a design system for bootstrap 4 it is open source free and it features many components that can help you create amazing websites p h4 id fully coded components fully coded components h4 p argon design system is built with over 100 individual components giving you the freedom of choosing and combining all components can take variations in colour that you can easily modify using sass files p p you will save a lot of time going from prototyping to full functional code because all elements are implemented this design system is coming with prebuilt examples so the development process is seamless switching from our pages to the real website is very easy to be done p p every element has multiple states for colors styles hover focus that you can easily access and use p h4 id complex documentation complex documentation h4 p each element is well presented in a very complex documentation you can read more about the idea behind this design system here you can check the components here and the foundation here p h4 id example pages example pages h4 p if you want to get inspiration or just show something directly to your clients you can jump start your development with our pre built example pages you will be able to quickly set up the basic structure for your web project p h2 id table of contents table of contents h2 ul li a href demo demo a li li a href quick start quick start a li li a href documentation documentation a li li a href file structure file structure a li li a href browser support browser support a li li a href resources resources a li li a href reporting issues reporting issues a li li a href technical support or questions technical support or questions a li li a href licensing licensing a li li a href useful links useful links a li ul h2 id versions versions h2 p we are coding argon design system for this frameworks also chek em out p ul li a href https www creative tim com product vue argon design system vue js a li ul h3 id coming soon coming soon h3 ul li angular li li react li li sketch li li photoshop li ul h2 id demo demo h2 ul li a href https demos creative tim com argon design system index page a li li a href https demos creative tim com argon design system examples landing html landing page a li li a href https demos creative tim com argon design system examples profile html profile page a li li a href https demos creative tim com argon design system examples login html login page a li li a href https demos creative tim com argon design system examples register html register page a li li a href https demos creative tim com argon design system docs getting started overview html documentation a li ul p a href https demos creative tim com argon design system view more a p h2 id download and installation download and installation h2 ul li a href https github com creativetimofficial argon design system archive master zip download from github a li li p a href https www creative tim com product argon design system download from creative tim a p li li p install with bower code class highlighter rouge bower install argon design system code p li li p install with composer code class highlighter rouge composer create project creativetimofficial argon design system code p li li p clone from github code class highlighter rouge git clone site product github clone code p li li p install with npm code class highlighter rouge npm i argon design system free code p li li install with yarn code class highlighter rouge yarn add argon design system free code li ul h2 id documentation documentation h2 p the documentation for the argon design system is hosted at our a href https demos creative tim com argon design system docs getting started overview html website a p h2 id file structure file structure h2 p within the download you ll find the following directories and files p div class highlighter rouge div class highlight pre class highlight code argon changelog md license md readme md assets css argon css argon css map argon min css argon min css map img argon brand icons ill js argon js argon min js scss bootstrap custom argon scss vendor bootstrap bootstrap datepicker font awesome headroom jquery nouislider nucleo popper code pre div div h2 id browser support browser support h2 p at present we officially aim to support the last two versions of the following browsers p p img src https s3 amazonaws com creativetim bucket github browser chrome png width 64 height 64 img src https s3 amazonaws com creativetim bucket github browser firefox png width 64 height 64 img src https s3 amazonaws com creativetim bucket github browser edge png width 64 height 64 img src https s3 amazonaws com creativetim bucket github browser safari png width 64 height 64 img src https s3 amazonaws com creativetim bucket github browser opera png width 64 height 64 p h2 id resources resources h2 ul li demo a href https demos creative tim com argon design system https demos creative tim com argon design system a li li download a href https www creative tim com product argon design system https www creative tim com product argon design system a li li documentation a href https demos creative tim com argon design system docs getting started overview html https demos creative tim com argon design system docs getting started overview html a li li license agreement a href https www creative tim com license https www creative tim com license a li li support a href https www creative tim com contact us https www creative tim com contact us a li li issues a href https github com creativetimofficial argon design system issues github issues page a li ul h2 id reporting issues reporting issues h2 p we use github issues as the official bug tracker for the argon design system here are some advices for our users that want to report an issue p ol li make sure that you are using the latest version of the argon design system check the changelog from your copy on our a href https www creative tim com website a li li providing us reproducible steps for the issue will shorten the time it takes for it to be fixed li li some issues may be browser specific so specifying in what browser you encountered the issue might help li ol h2 id technical support or questions technical support or questions h2 p if you have questions or need help integrating the product please a href https www creative tim com contact us contact us a instead of opening an issue p h2 id licensing licensing h2 ul li p copyright 2019 creative tim https www creative tim com p li li p licensed under mit https github com creativetimofficial argon design system blob master license md p li ul h2 id useful links useful links h2 ul li a href https www creative tim com bootstrap themes more products a from creative tim li li a href https www youtube com channel ucvytg4scw rovb9ohkzzd1w tutorials a li li a href https www creative tim com bootstrap themes free freebies a from creative tim li li a href https www creative tim com affiliates new affiliate program a earn money li ul h2 id social media social media h2 ul li twitter a href https twitter com creativetim https twitter com creativetim a li li facebook a href https www facebook com creativetim https www facebook com creativetim a li li dribbble a href https dribbble com creativetim https dribbble com creativetim a li li google a href https plus google com creativetimpage https plus google com creativetimpage a li li instagram a href https www instagram com creativetimofficial https www instagram com creativetimofficial a li ul | design design-system bootstrap-4 design-systems webdesign responsive responsive-design profile-page creativetim creative-tim freebie freebies free | os |
Smart-Security-Camera | smart security camera iot raspberry pi security camera running open cv for object detection the camera will send an email with an image of any objects it detects it also runs a server that provides a live video stream over the internet watch the original video here https youtu be y2qfu ttvti setup this project uses a raspberry pi camera to stream video before running the code make sure to configure the raspberry pi camera on your device open the terminal and run sudo raspi config select interface options then pi camera and toggle on press finish and exit you can verify that the camera works by running raspistill o image jpg which will save a image from the camera in your current directory you can open up the file inspector and view the image installing dependencies this project uses opencv to detect objects in the video feed you can install opencv by using the following tutorial http www pyimagesearch com 2016 04 18 install guide raspberry pi 3 raspbian jessie opencv 3 i used the python 2 7 version of the tutorial the installation took almost 8 hours on my raspberry pi zero but it would be considerably faster on a more powerful board like the raspberry pi 3 the tutorial will prompt you to create a virtual environment make sure you are using the virtual environment by typing the following commands bash source profile workon cv next navigate to the repository directory cd smart security camera and install the dependencies for the project pip install r requirements txt note if you re running python3 you ll have to change the import statements at the top of the mail py file from email mime multipart import mimemultipart from email mime text import mimetext from email mime image import mimeimage and change your print statements from quotes to parenthesis print print customization to get emails when objects are detected you ll need to make a couple modifications to the mail py file open mail py with vim vim mail py then press i to edit scroll down to the following section email you want to send the update from only works with gmail fromemail myemail gmail com fromemailpassword password1234 email you want to send the update to toemail anotheremail gmail com and replace with your own email credentials the mail py file logs into a gmail smtp server and sends an email with an image of the object detected by the security camera press esc then zz to save and exit you can also modify the main py file to change some other properties email update interval 600 sends an email only once in this time interval video camera videocamera flip true creates a camera object flip vertically object classifier cv2 cascadeclassifier models fullbody recognition model xml an opencv classifier notably you can use a different object detector by changing the path models fullbody recognition model xml in object classifier cv2 cascadeclassifier models fullbody recognition model xml to a new model in the models directory facial recognition model xml fullbody recognition model xml upperbody recognition model xml running the program run the program python main py you can view a live stream by visiting the ip address of your pi in a browser on the same network you can find the ip address of your raspberry pi by typing ifconfig in the terminal and looking for the inet address visit raspberrypi ip 5000 in your browser to view the stream note to view the live stream on a different network than your raspberry pi you can use ngrok https ngrok com to expose a local tunnel once downloaded run ngrok with ngrok http 5000 and visit one of the generated links in your browser note the video stream will not start automatically on startup to start the video stream automatically you will need to run the program from your etc rc local file see this video https youtu be 51dg2msyhns t 7m4s for more information about how to configure that | server |
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pebble | ci github action https github com istreamplanet pebble workflows ci badge svg https github com istreamplanet pebble actions query workflow 3aci deprecation notice this package has been deprecated and is no longer maintained pebble a react based design system built by istreamplanet documentation visit the pebble documentation https pebble istreamplanet net site for information contribution and support before opening an issue or pull request please read the contributing https pebble istreamplanet net contributing guide development see the development https pebble istreamplanet net development guide for instructions on how to run pebble locally for development installation and usage to use pebble add the package to your package json using your package manager of choice for yarn users shell yarn add istreamplanet pebble node sass react router dom for npm users shell npm install istreamplanet pebble node sass react router dom save include the pebble foundation stylesheet in your layout template shell import istreamplanet pebble dist styles foundation scss import the components into your application shell import button card from istreamplanet pebble then add them in your react component as you would any other shell const mycomponent card button submit button card have a look at the pebble istreamplanet net https pebble istreamplanet net for component documentation release history see the releases https github com istreamplanet pebble releases page license copyright copy 2019 istreamplanet co llc licensed under the apache license version 2 0 the license you may not use this file except in compliance with the license | react design-system styleguidist design-systems css storybook | os |
ml-email-clustering | how i used machine learning to classify emails and turn them into insights this is the code used for investigating the enron email dataset through machine learning switch tags to see the code used for a specific part part 1 available on medium https medium com anthonydm how i used machine learning to classify emails and turn them into insights efed37c1e66 part 2 available on medium https medium com anthonydm how i used machine learning to classify emails and turn them into insights part 2 6a8f26477c86 anthdm https twitter com anthdm on twitter | machine-learning scikit-learn clustering data-science | ai |
salesforce-einstein-sentiment-analysis | salesforce einstein sentiment analysis demo license https img shields io badge license mit brightgreen svg https raw githubusercontent com gleb kosteiko salesforce einstein sentiment analysis master copying txt steps for using 1 sign up for an einstein platform services account follow this link to know more details https metamind readme io docs what you need to call api section get an einstein platform services account 2 upload the key obtained in step 1 into salesforce content follow this link to know more details https metamind readme io docs upload your key 3 deploy demo stuff to salesforce using bellow button or manually a href https githubsfdeploy herokuapp com owner last khajiit repo salesforce einstein sentiment analysis img alt deploy to salesforce src https raw githubusercontent com afawcett githubsfdeploy master src main webapp resources img deploy png a 4 create remote site setting for einstein apis read more here https metamind readme io docs apex qs create remote site 5 populate custom settings custom settings screenshot https raw githubusercontent com last khajiit salesforce einstein sentiment analysis master img custom 20settings png 6 use einsteinservice class for getting sentiment of text example for anonimous execution in developer console java einsteinservice einstein new einsteinservice sentimentanalysisresponse response einstein findsentiment i love salesforce system debug response response in log we get next result response sentimentanalysisresponse probabilities probabilities label positive probability 0 49315557 probabilities label neutral probability 0 3688144 probabilities label negative probability 0 13803007 copyright https github com last khajiit salesforce einstein sentiment analysis blob master license gleb kosteiko | salesforce einstein sentiment-analysis natural-language-processing nlp artificial-intelligence sentiment ai salesforce-einstein | ai |
picolibc | picolibc copyright 2018 2023 keith packard picolibc is library offering standard c library apis that targets small embedded systems with limited ram picolibc was formed by blending code from newlib http sourceware org newlib and avr libc https www nongnu org avr libc build status linux https github com picolibc picolibc workflows linux badge svg branch main zephyr https github com picolibc picolibc workflows zephyr badge svg branch main mac os x https github com picolibc picolibc workflows mac 20os 20x badge svg license picolibc source comes from a variety of places and has a huge variety of copyright holders and license texts while much of the code comes from newlib none of the gpl related bits used to build the library are left in the repository so all of the source code uses bsd like licenses a mixture of 2 and 3 clause bsd itself and a variety of other mostly older licenses with similar terms there are two files used for testing printf test printf tests c and test testcases c which are licensed under the gpl version 2 or later there is also a shell script generatepicolibccrossfile sh which is licensed under the agpl version 3 or later which is provided as a helper for people building the library but not used by picolibc otherwise the file copying picolibc contains all of the current copyright and license information in the debian standard machine readable format it was generated using the make copyrights and find copyright scripts supported architectures picolibc has integrated testing support for many architectures which is used to validate the code for all patch integration arc 32 and 64 bit arm 32 and 64 bit i386 native and linux hosted for testing motorola 68000 m68k mips msp430 nios ii power9 risc v both 32 and 64 bit sparcv8 32 bit x86 64 native and linux hosted for testing there is also build infrastructure and continuous build validation but no integrated testing available for additional architectures microblaze 32 bit big and little endian powerpc big and little endian sparc64 xtensa esp8266 esp32 supporting architectures that already have newlib code requires 1 newlib libc machine architecture meson build to build the architecture specific libc bits this should at least include setjmp longjmp support as these cannot be performed in architecture independent code and are needed by libstdc 2 checking for atomic support for tinystdio tinystdio requires atomics for ungetc to work correctly in a reentrant environment by default it stores them in 16 bit values but some architectures only have 32 bit atomics to avoid abi issues the size selected isn t detected automatically instead it must be configured in newlib libc tinystdio stdio h 3 newlib libm machine architecture meson build to build any architecture specific libm bits 4 picocrt machine architecture source code and build bits for startup code needed for the architecture useful in all cases but this is necessary to run tests under qemu if your platform can do that 5 cross gcc triple txt to configure the meson cross compilation mechanism to use the right tools 6 do architecture configure to make testing the cross compilation setup easier 7 newlib libc picolib support this should include whatever startup helpers are required like arm interrupt vector and tls support if your compiler includes this 8 run architecture script to run tests under qemu look at the arm and risc v examples to get a sense of what this needs to do and how it gets invoked from the cross gcc triple txt configuration file relation to newlib picolibc is mostly built from pieces of newlib and retains the directory structure of that project while there have been a lot of changes in the build system and per thread data storage the bulk of the source code remains unchanged to keep picolibc and newlib code in sync newlib changes will be regularly incorporated to ease integration of these changes into picolibc some care needs to be taken while editing the code files should not be renamed fixes that also benefit users of newlib should also be sent to the newlib project changes where possible should be made in a way compatible with newlib design for example instead of using errno which is valid in picolibc use errno r r even when r is not defined in the local context the bulk of newlib changes over the last several years have been in areas unrelated to the code used by picolibc so keeping things in sync has not been difficult so far documentation introductory documentation read these first building picolibc doc build md explains how to compile picolibc yourself using picolibc doc using md shows how to compile and link applications once you have picolibc built and installed linking with picolibc ld doc linking md provides more details about the linking process hello world hello world readme md build and run a stand alone c application by following step by step instructions detailed documentation use these to learn more details about how to use picolibc picolibc initialization doc init md operating system support doc os md printf and scanf in picolibc doc printf md thread local storage doc tls md re entrancy and locking doc locking md picolibc as embedded source doc embedsource md releasing picolibc doc releasing md copyright and license information copying picolibc releases picolibc version 1 8 5 detect clang multi lib support correctly by passing compiler flags thanks to xbjfk for identifying the problem create a new long long printf variant this provides enough variety to satisfy the zephyr cbprintf options without needing to build the library from scratch adjust use of custom binary to decimal conversion code so that it is only enabled for types beyond the register size of the target this avoids the cost of this code when the application is already likely to be using the soft division routines picolibc version 1 8 4 make math overflow and underflow handlers respect rounding modes add full precision fma fmaf fallbacks by adapting the long double code which uses two floats doubles and some careful exponent management to ensure that only a single rounding operation occurs fix more m68k 80 bit float bugs fix m68k asm abi by returning pointers in a0 and d0 use an m68k unknown elf toolchain for m68k testing including multi lib to check various fpu configurations on older and more modern 68k targets improve ci speed by using ccache on zephyr and mac tests compressing the docker images and automatically canceling jobs when the related pr is updated thanks to peter jonsson move a bunch of read only data out of ram and into flash by adding const attributes in various places add a new linker symbol heap size min which specifies a minimum heap size the linker will emit an error if this much space is not available between the end of static data and the stack fix a bunch of bugs on targets with 16 bit int type thanks to peter jonsson for many of these work around a handful of platform bugs on msp430 i think these are compiler bugs as they occur using both the binutils simulator and mspsim run tests on msp430 using the simulator that comes with gdb thanks to peter jonsson for spliting tests apart to make them small enough to link in under 1mb this requires a patch adding primitive semihosting to the simulator provide a division free binary to decimal conversion option for printf at friends this is useful on targets without hardware divide as it avoids pulling in a usually large software implementation this is controlled with the printf small ultoa meson option and is false by default add minimal printf and scanf variants these reduce functionality by removing code that acts on most data modifers including width and precision fields and alternate presentation modes a new config variable minimal io long long controls whether that code supports long long types add a assert verbose option which controls whether the assert macro is chatty by default it is true by default which preserves the existing code but when set to false then a failing assert calls assert no msg with no arguments saving the memory usually occupied by the filename function name and expression fix arm asm syntax for mrc mcr instructions to make clang happy thanks to radovan bla ek for this patch picolibc version 1 8 3 fix bugs in floor and ceil implementations use fanalyzer to find and fix a range of issues add ubsan handle out of bounds implementation this enables building applications with fsanitize bounds and fno sanitize undefined trap on error validate exception configuration on targets with mixed exception support where some types have exceptions and others don t right now that s only arm platforms where any soft float implementations don t build with exception support fix bugs in nexttowards nextafter on clang caused by the compiler re ordering code and causing incorrect exception generation use the small slow string code when fsanitize address is used while building the library this avoids reading beyond the end of strings and triggering faults handle soft float on x86 and sparc targets that mostly required disabling the hardware exception api along with a few other minor bug fixes add runtime support for arc mips nios2 and m68k this enables ci testing on these architectures using qemu fix 80 bit floating math library support for m68k targets fix arm testing infra to use various qemu models that expand testing to all standard multi lib configurations adjust floating exception stubs to return success when appropriate instead of always returning enosys make sure snan raises fe invalid and is converted to qnan in truncl frexpl and roundl avoid nan result from fmal caused by multiply overflow when addend is infinity inf inf results in nan in that case picolibc version 1 8 2 support zephyr source macro which like posix source et al controls whether the library expresses the zephyr c library api this is also automatically selected when the zephyr macro is defined and no other source macro is defined add another cross compile property libgcc which specifies the library containing soft float and other compiler support routines fix a couple of minor imprecisions in pow and 80 bit powl merge newlib changes that included an update to the arm assembly code replace inexact float string conversion code with smaller code that doesn t use floating point operations to save additional space on soft float targets more cmake fixes including making the inexact printf and locale options work picolibc version 1 8 1 fix cmake build system to auto detect compiler characteristics instead of assuming the compiler is a recent version of gcc this allows building using cmake with clang fix cmake build system to leave out tls support when tls is disabled on the cmake command line replace inline asm with attributes for weak reference macro add allocation attributes to malloc and stdio functions this allows the compiler to detect allocation related mistakes as well as perform some additional optimizations bugs found by this change were also addressed add wchar t support to tinystdio eliminating the last missing feature compared with the legacy stdio bits from newlib with this libstdc can be built with wide char i o support eliminating the last missing feature there as well eliminate use of command line tools when building with a new enough version of meson thanks to michael platings add microblaze support thanks to alp sayin switch semihosting to use binary mode when opening files thanks to hardy griech build and install static library versions of the crt0 startup code these allows developers to reference them as libraries on the command line instead of needing special compiler support to locate the different variants which is useful when using clang thanks to simon tatham simplify the signal raise implementation to use a single global array of signal handlers and to not use getpid and kill instead raise now directly invokes exit this makes using assert and abort simpler and doesn t cause a large tls block to be allocated thanks to joe nelson for discovering the use of a tls variable here picolibc version 1 8 with the addition of nearly complete long double support in the math library it seems like it s time to declare a larger version increment than usual improve arc and xtensa support adding tls helpers and other build fixes fix fpscr state for arm8 1 m low overhead loops thanks to david green add werror double promotion to default error set and fix related errors thanks to ryan mcclelland fix locking bug in malloc out of memory path and freeing a locked mutex in the tinystdio bufio code these were found with lock debugging code in zephyr add some missing functions in tinystdio strto l l remove tmpname tmpfile which were published in stdio h but not included in the library switch read write functions to use posix types instead of legacy cygwin types this makes mapping to existing an posix api work right add b support to tinystdio printf and scanf these are disabled by default as they aren t yet standardized fix avr math function support the avr version of gcc has modes where double and long double are 32 or 64 bits so the math library code now detects all of that at compile time rather than build time and reconfigures the functions to match the compiler types add nearly complete long double support from openlibm for 80 bit intel and 128 bit ieee values in addition to supporting 64 bit long doubles still missing are bessel functions and decimal printf scanf support add limited long double support for ibm double double form this is enough to run some simple tests but doesn t have any significant math functions yet get power9 code running under qemu with opal this was mostly needed to validate the big endian and exception code for 128 bit long doubles but was also used to validate the double double support provide times and sysconf implementations in semihosting you can now build and run the dhrystone benchmark without any further code fix use of tls variables with stricter alignment requirements in the default linker script and startup code thanks to joakim nohlg rd and alexander richardson who found this issue while working on lld support picolibc version 1 7 9 support all zephyr sdk targets support relocating the toolchain by using gcc exec prefix for sysroot install when compiler doesn t use sysroot add mips sparc and arc support deal with risc v changes in gcc that don t reliably include zicsr support picolibc as default c library with dsystem libc option with this you can use picolibc without any extra compiler options merge current newlib bits to get code that doesn t use struct reent get rid of struct reent in legacy stdio code support 16 bit int targets by fixing a few places assuming sizeof int 4 object sizes not using size t wint t for ucs 4 values add msp430 support fix a couple of clang bugs one on cortex m0 support libc by adding non standard mbstate t h merge i686 and x86 64 code to allow x86 multilib builds merge xtensa newlib bits support xtensa esp32 targets add nios ii support picolibc version 1 7 8 1 fix el ix level 4 code type errors 2 fix out of source cmake build thanks max behensky 3 improve build md docs thanks kalle raiskila 4 fix cmake build for various architectures 5 initialize lock in fdopen 6 remove m from linker paths in single arch builds 7 shrink tinystdio vfprintf and vfscanf a bit 8 use fno builtin malloc fno builtin free gcc 12 compat 9 use fno builtin copysignl gcc 12 compat 10 add zicsr to march for risc v picocrt binutils 2 38 compat 11 add no warn rwx segments to link spec binutils 2 38 compat picolibc version 1 7 7 1 fix semihost gettimeofday add a test 2 fix config option documentation thanks to rdiez 3 document how re entrant locking apis are used thanks to rdiez 4 fix some 16 bit int issues in tinystdio thanks to ayke van laethem 5 make header files a bit more posix compliant installing rpc headers moving byte swapping macros to arpa inet h 6 fix some stdio bugs found by zephyr test suite snprintf return value on buffer overflow add ftello fseeko fputc return value 0a formatting clear eof status after ungetc fseek 7 re do buffered i o support to handle mixed read write files correctly this adds setbuf setbuffer setlinebuf setvbuf 8 add fmemopen and freopen 9 add enough cmake support to allow zephyr to build picolibc as a module using that rather than meson 10 merge current newlib bits 11 fix p printf scanf on ilp64 targets picolibc version 1 7 6 1 fix use with c applications caused by a syntax error in picolibc specs 2 automatically include nostdlib to options used while evaluating build rules to ensure tests work as expected 3 publish aarch64 inline math functions ensure that inline fma functions work in installed applications for arm and risc v picolibc version 1 7 5 1 fix build on big endian systems thanks to thomas daede 2 add m68k support thanks to thomas daede 3 fix build issues with arm cortex a9 target thanks to ilia sergachev 4 fix fwrite x 0 y z in both tinystdio and legacy stdio tinystdio returned the wrong value and legacy stdio caused a divide by zero fault 5 update ryu code to match upstream minor fixes 6 fix various newlib and picolibc macros they were using a single leading underscore instead of two thanks to vincent palatin 7 fix tinystdio error handling bugs 8 merge recent newlib changes fixed ltdoa in legacy stdio 9 speed improvements for github ci system 10 big endian powerpc support 11 fail builds if most run command uses fail thanks to johan de claville christiansen 12 positional parameters in tinystdio with this i think tinystdio is feature complete 13 support for multiple build styles of picolibc minsize release in one binary package this still requires separate meson runs 14 testing with glibc test code this uncovered numerous bugs mostly math errno exception mistakes but also a few serious bugs including a couple of places where the nano malloc failed to check for out of memory picolibc now passes all of the glibc math tests except for jn yn lgamma and tgamma the picolibc versions of those functions are too inaccurate picolibc also passes most other relevant glibc tests including stdio string and stdlib areas 15 tinystdio version of fcvt now has a static buffer large enough to hold the maximum return size 16 tinystdio versions of ecvtbuf and fcvtbuf have been replaced with ecvt r and fcvt r equivalents which take a len parameter to prevent buffer overruns 17 add the generatepicolibccrossfile sh script which provides a way to isolate picolibc build scripts from the vagaries of meson version shifts thanks to r diez 18 add semihost version of crt0 that calls exit after main returns the arm and risc v versions of this also include trap handlers for exceptions that print out information and exit when an exception occurs picolibc version 1 7 4 1 clean up meson build bits including use of fs module thanks to yasushi shoji 2 speed up github actions by sharing debian docker image thanks to yasushi shoji 3 reduce use of intermediate static libraries during build 4 use standard meson architecture names everywhere thanks to yasushi shoji 5 support building with d fortify source enabled 6 clean up 32 bit arm assembly code eliminating aeabi wrappers where possible 7 add basename dirname and fnmatch back 8 fix all old style k r function definitions 9 enable lots more compiler warning flags 10 remove last uses of alloca in legacy stdio code 11 add tests from musl libc testsuite there aren t many tests but these identified a few bugs 12 add lots more exception and errno tests for the math functions 13 restructure math library to always use the math err functions to raise exceptions and set errno this removes the w c wrapper functions and eliminates the ieee names this centralizes compiler work arounds to ensure run time evaluation of expressions intended to raise exceptions in the process all of the libm math files were reformatted with clang format 14 make tinystdio a compatible with glibc including supporting rounding and trimming trailing zeros when possible 15 remove floating point exception generation code on targets without floating point exception support this reduces code size on soft float machines without affecting results picolibc version 1 7 3 1 add wall wextra to default builds fixed warnings this raised 2 add htonl and friends based on htonl thanks to johan de claville christiansen 3 set errno in scalbn and scalbnf patch forwarded to newlib 4 merge newlib recent changes which includes a couple of libm fixes picolibc version 1 7 2 1 fix picolibc ld to split c exceptions back apart thanks to khalil estell 2 add vsscanf to tinystdio required for libstdc 3 also stick isystem in c compile command to try and get picolibc headers to be used instead of newlib picolibc version 1 7 1 1 add cxa atexit implementation to picoexit path as required by c 2 fix lack of hh support in integer only tinystdio printf path 3 fix tinystdio file flag initialization for c apps picolibc version 1 7 1 merge libc and libm into a single library having them split doesn t offer any advantages while requiring that applications add lm to link successfully having them merged allows use of libm calls from libc code 2 add hex float format to printf scanf and strto d f ld this is required for c99 support 3 unify strto d f ld and scanf floating point parsing code this ensures that the library is consistent in how floats are parsed 4 make strto d f ld set errno to erange on overflow underflow including when the result is a subnormal number picolibc version 1 6 2 1 change restrict keyword in published headers to restrict to restore compatibility with applications building with std c18 2 additional cleanups in time conversion funcs thanks to r riez picolibc version 1 6 1 1 code cleanups for time conversion funcs thanks to r diez 2 add fno stack protector when supported by the c compiler to avoid trouble building with native ubuntu gcc 3 bug fix for converting denorms with sscanf and strto d f ld 4 use asm for inline asm code to allow building applications with std c18 5 fix exit code for semihosting abort call to make it visible to the hosting system 6 add strfromf and strfromd implementations these are simple wrappers around sscanf but strfromf handles float conversions without requiring a pass through double or special linker hacks picolibc version 1 6 1 bugfix for snprintf buf 0 and vsnprintf buf 0 to avoid smashing memory 2 support building libstdc on top of picolibc 3 add hosted crt0 variant that calls exit when main returns this makes testing easier without burdening embedded apps with unused exit processing code 4 add minimal crt0 variant that skips constructors to save space on systems known to not use any 5 fix hw floating point initialization on 32 bit arm processors to perform dsb and isb instructions to ensure the fpu enabling write is complete before executing any fpu instructions 6 create a new picolibc prefix gcc command line parameter that sets the base of all picolibc file names 7 add bare metal i386 and x86 64 initializatiton code thanks to mike haertel these initalize the processor from power up to running code without requiring any bios 8 merge newlib as of late april 2021 9 add timegm function thanks to r diez 10 fix a number of tinystdio bugs handle fread with size 0 parse nan and inf in fscanf in a case insensitive manner fix negative precision to arguments in printf fix handling of j z and t argument size specifiers thanks to sebastian meyer 11 make the fenv api more consistent and more conformant with the spec all architectures now fall back to the default code for soft float versions which avoids having the various exception and rounding modes get defined when not supported picolibc version 1 5 1 1 make riscv crt0 exit symbol weak to allow linking without this function picolibc version 1 5 1 make picolibc more compatible with c compilers 2 add gcc specs file and linker script for building c applications with g that enable exception handling by linking in call stack information 3 a few clang build fixes including libm exception generation 4 nano malloc fixes especially for unusual arguments 5 merge in newlib 4 1 0 code 6 more libm exception errno infinity fixes mostly in the gamma funcs 7 add tests for all semihost v2 0 functions 8 a few risc v assembly fixes and new libm code 9 build fixes to reliably replace generic code with architecture specific implementations with a patch which is pending for gcc 11 we ll be able to build c applications that use picolibc with exceptions and iostream picolibc version 1 4 7 1 fix numerous libm exception and errno bugs the math functions are all now verified to match the c19 and posix standards in this area 2 change behavior of gamma function to match glibc which returns lgamma for this function applications should not use this function they should pick either lgamma or tgamma as appropriate 3 fix fma fmaf on arm and risc v so that the machine specific versions are used when the hardware has support also fix the math library to only use fma fmaf when it is supported by the hardware 4 fix numerous nano malloc bugs especially with unusual parameters 5 change nano malloc to always clear returned memory 6 improve nano realloc to perform better in various ways including merging adjacent free blocks and expanding the heap 7 add malloc tests both a basic functional test and a stress test 8 improve build portability to windows picolibc should now build using mingw 9 use hardware tls register on arm when available 10 support clang compiler thanks to denis feklushkin denis feklushkin gmail com and joakim nohlg rd joakim nohlgard se 11 avoid implicit float double conversions check this by having clang builds use wdouble promotion werror double promotion flags 12 have portable code check for machine specific overrides by matching filenames this avoids building libraries with duplicate symbols and retains compatibility with newlib which uses a different mechanism for this effect 13 patches to support building with compcert http compcert inria fr a formally verified compiler thanks to sebastian meyer meyer absint com picolibc version 1 4 6 1 install ssp stack smashing protection header files this fixes compiling with d fortify source 2 make getc ungetc re entrant this feature which is enabled by default uses atomic instruction sequences that do not require os support 3 numerous iconv fixes including enabling testing and switching external ccs file loading to use stdio by default iconv provides built in ccs data for all of the supported encodings which takes a fairly large amount of read only memory iconv is now always included in picolibc as it isn t included in applications unless explicitly referenced by them 4 add getauxval stub implementation to make picolibc work with gcc version 10 compiled for aarch64 linux gnu 5 change how integer and float only versions of printf and scanf are selected instead of re defining the symbols using the c preprocessor picolibc now re defines the symbols at link time this avoids having applications compiled with a mixture of modes link in multiple versions of the underlying functions while still preserving the smallest possible integer only implementation 6 document how to use picolibc on a native posix system for testing check out the os md doc os md file for details 7 merge current newlib bits in this includes better fenv support for which tests are now included in the picolibc test suite picolibc version 1 4 5 1 fix section order in picolibc ld to give applications correct control over the layout of preserve init and fini regions 2 add startup and tls support for aarch64 and non cortex m 32 bit arm picolibc version 1 4 4 1 fix floating point g format output in tinystdio e g for 10 0 print 10 instead of 1e 01 there are tests which verify a range of g cases like these now 2 merge current newlib bits the only thing which affects picolibc is the addition of fenv support for arm picolibc version 1 4 3 1 make fix for cve 2019 14871 cve 2019 14878 in original newlib stdio code not call abort allocation failures are now reported back to the application 2 add exact floating point print scan code to tinystdio thanks to sreepathi pai for pointing me at the ryu code by ulf adams 3 add regular expression functions from newlib these were removed by accident while removing posix filesystem specific code 4 make tinystdio versions of efg cvt functions this means that the default tinystdio version of picolibc no longer calls malloc from these functions 5 more clang compatibility fixes thanks to denis feklushkin 6 remove stdatomic h and tgmath h they should not be provide by picolibc picolibc version 1 4 2 1 clang source compatibility clang should now be able to compile the library thanks to denis feklushkin for figuring out how to make this work 2 aarch64 support this enables the existing aarch64 code and provides an example configuration file for getting it built thanks for anthony anderson for this feature 3 testing on github on push and pull request for now this is limited to building the library due to a bug in qemu 4 get newlib stdio working again you can now usefully use newlib s stdio this requires a working malloc and is substantially larger than tinystdio but has more accurate floating point input this requires posix functions including read write and a few others 5 fix long double strtold the working version is only available when using tinystdio if using newlib stdio strtold is simply not available 6 improve tinystdio support for c99 printf scanf additions 7 check for correct prefix when sysroot install option is selected the value of this option depends on how gcc was configured and alas meson won t let us set it at runtime so instead we complain if the wrong value was given and display the correct value 8 sync up with current newlib head picolibc version 1 4 1 this release contains an important tls fix for arm along with a few minor compatibility fixes 1 make aeabi read tp respect arm abi register requirements to avoid clobbering register contents during tls variable use 2 use cpu family instead of cpu in meson config which is more correct when building for a single cpu instead of multilib 3 make arm sample interrupt vector work with clang 4 use inline instead of inline in published headers to allow compiling with ansi 5 make naked risc v start function contain only asm statements as required by clang and recommended by gcc 6 use msave restore in sample risc v cross compile configuration this saves text space picolibc version 1 4 this release was focused on cleaning up the copyright and license information 1 copyright information should now be present in every source file 2 license information where it could be inferred from the repository was added to many files 3 4 clause bsd licenses were changed with permission to 3 clause 4 fix risc v ieeefp h exception bits 5 merge past newlib 3 2 0 6 add picolibc tls preprocessor define when the library has tls support picolibc version 1 3 this release now includes tests and fixes bugs found by them 1 esp8266 support added thanks to jonathan mcdowell 2 numerous test cases from newlib have been fixed and precision requirements adjusted so that the library now passes its own test suite on x86 risc v and arm 3 string number conversion bug fixes this includes fcvt ecvt gcvt shared with newlib and tinystdio printf scanf 4 a few risc v abi fixes including setting the tls base correctly compiling with mcmodel medany and enabling the fpu for libraries built to use it 5 semihosting updates including adding unlink kill and getpid which are used by some tests picolibc version 1 2 this release includes important fixes in picolibc ld and more semihosting support 1 file i o and clock support for semihosting this enables fopen fdopen support in tinystdio along with an api to fetch a real time clock value 2 fix picolibc ld to not attempt to use redefined symbols for memory space definitions these re definitions would fail and the default values be used for system memory definitions instead just use the operators each place the values are needed linker scripts continue to mystify 3 expose library definitions in picolibc h instead of newlib h and newlib version h 4 define have semihost when semihosting support is available this lets the hello world example do some semihost specific things picolibc version 1 1 a minor update from 1 0 this release includes 1 semihost support this adds console i o and exit 3 support on arm and risc v hosts using the standard semihosting interfaces 2 posix i o support in tinystdio when dposix io true is included in the meson command line which is the default tinystdio adds support for fopen and fdopen by using malloc open close read write and lseek if dposix console true is also passed to meson then picolibc will direct stdin stdout stderr to the posix standard file descriptors 0 1 2 3 merge recent upstream newlib code this brings picolibc up to date with current newlib sources 4 hello world example this uses a simple makefile to demonstrate how to us picolibc when installed for arm and risc v embedded processors the resulting executables can be run under qemu 5 remove newlib libm mathfp directory this experimental code never worked correctly anyways picolibc version 1 0 this is the first release of picolibc major changes from newlib include 1 remove all non bsd licensed code none of it was used in building the embedded library and removing it greatly simplifies the license situation 2 move thread local values to native tls mechanism 3 add smaller stdio from avr libc which is enabled by default 4 switch build system to meson this has two notable benefits the first is that building the library is much faster the second is that it isolates build system changes from newlib making merging of newlib changes much easier 5 add simple startup code this can be used in environments that don t have complicated requirements allowing small applications to avoid needing to figure this out | os |
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RoleLLM-public | div align center h1 rolellm h1 div p align center rolellm benchmarking eliciting and enhancing role playing abilities of large language models p p align center models upcoming a href https arxiv org pdf 2310 00746 pdf paper a demo upcoming a href https huggingface co datasets zenmoore rolebench data a p assets rolellm bird eye png we introduce rolellm a role playing framework of data construction and evaluation rolebench as well as solutions for both closed source and open source models rolegpt rolellama roleglm we also propose context instruct for long text knowledge extraction and role specific knowledge injection abstract the advent of large language models llms has paved the way for complex tasks such as role playing which enhances user interactions by enabling models to imitate various characters however the closed source nature of state of the art llms and their general purpose training limit role playing optimization in this paper we introduce rolellm a framework to benchmark elicit and enhance role playing abilities in llms rolellm comprises four stages 1 role profile construction for 100 roles 2 context based instruction generation context instruct for role specific knowledge extraction 3 role prompting using gpt rolegpt for speaking style imitation and 4 role conditioned instruction tuning rocit for fine tuning open source models along with role customization by context instruct and rolegpt we create rolebench the first systematic and fine grained character level benchmark dataset for role playing with 168 093 samples moreover rocit on rolebench yields rolellama english and roleglm chinese significantly enhancing role playing abilities and even achieving comparable results with rolegpt using gpt 4 what s new 2023 10 19 our rolebench data https huggingface co datasets zenmoore rolebench is released 2023 10 3 our paper https arxiv org abs 2310 00746 is released rolebench statistics assets statistics 1 png assets statistics 2 png list of roles abraham lincoln alvy singer andrew detmer angel antonio salieri bai li chinese benjamin button blair waldorf bruno antony caden cotard caesar coach eric taylor colonel hans landa colonel nathan r jessep coriolanus d artagnan david aames doctor who dr frank n furter dr hannibal lecter emperor chinese fei zhang chinese fletcher reede frank t j mackey fred flintstone freddy krueger gaston gregory house hal 9000 harvey milk imperial concubine hua chinese jack jack sparrow jack torrance jackie moon james bond james brown james carter jeff spicoli jigsaw jim morrison john coffey john dillinger john doe john keating jordan belfort judge dredd judy hoops juno macguff karl childers klaus mikaelson leonard shelby leroy jethro gibbs lestat de lioncourt logan lucifer morningstar lyn cassady malcolm x mark renton mary sibley mater michael scott murphy macmanus oliver queen pat solitano paul conroy paul vitti peter parker po professor g h dorr queen catherine queen elizabeth i rachel lang randle mcmurphy raylan givens robert angier rorschach seth sheldon cooper sherlock holmes shrek sonny stanley ipkiss stephen hawking stifler the dude theodore twombly thor tom ripley travis bickle truman capote tugg speedman twilight sparkle tyler hawkins tyrion lannister violet weston wade wilson walt kowalski willie soke wukong sun chinese all the mentioned roles are showcased with portraits in the role panorama at the beginning framework assets framework png rolellm comprises four stages 1 role profile construction 2 context based instruction generation context instruct primarily aimed at extracting role specific knowledge and episodic memories 3 role prompting using gpt rolegpt chiefly for the imitation of speaking styles and 4 role conditioned instruction tuning rocit which utilizes the data generated by context instruct and rolegpt to enhance existing open source llms experimental results assets main ins gen rolellama png assets main ins gen roleglm png assets main role gen rolellama png non cherry picked demonstrations assets wukong demo png assets twilight demo png assets jack sparrow demo png assets hawking demo png star history star history chart https api star history com svg repos interactivenlp team rolellm public type date https star history com interactivenlp team rolellm public date citation feel free to cite us if you like rolebench and rolellm bibtex article wang2023rolellm title rolellm benchmarking eliciting and enhancing role playing abilities of large language models author zekun moore wang and zhongyuan peng and haoran que and jiaheng liu and wangchunshu zhou and yuhan wu and hongcheng guo and ruitong gan and zehao ni and man zhang and zhaoxiang zhang and wanli ouyang and ke xu and wenhu chen and jie fu and junran peng year 2023 journal arxiv preprint arxiv 2310 00746 bibtex article wang2023interactive title interactive natural language processing author wang zekun and zhang ge and yang kexin and shi ning and zhou wangchunshu and hao shaochun and xiong guangzheng and li yizhi and sim mong yuan and chen xiuying and others journal arxiv preprint arxiv 2305 13246 year 2023 | ai |
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travis | travis build status develop branch https travis ci org cybermiles travis svg branch develop https travis ci org cybermiles travis please see the documentation for building and deploying travis nodes here https travis readthedocs io en latest connect testnet html | blockchain |
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python_data_science_and_machine_learning_bootcamp | python data science and machine learning bootcamp jupyter notebook for udemy course python data science and machine learning bootcamp | ai |
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PDF-Expert | pdf expert an ios engineering internship assignment pdf expert for readdle ui ui is developped in swiftui data app fetches data from google sheet api on a background thread screenshots p float left img src https user images githubusercontent com 75172737 120320257 a61d3580 c2ea 11eb 9427 4b36d9e1f752 png width 120 height 260 img src https user images githubusercontent com 75172737 120320270 a7e6f900 c2ea 11eb 8481 5a5470881921 png width 120 height 260 img src https user images githubusercontent com 75172737 120320546 fac0b080 c2ea 11eb 8b6f bb81a51910e7 png width 120 height 260 p | os |
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iot-lab | iot lab main repository this repository contains common iot lab resources such as experiments management tools deployment tools dev env setup overall documentation is available at https github com iot lab iot lab wiki to perform the initial setup of your development environment run make | server |
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nlptutorial | nlp programming tutorial by graham neubig neubig at is dot naist jp this is a tutorial to learn the basics of natural language processing and machine learning through programming exercises using python the tutorial files are in the download directory so please open up this directory and view the pdf there the tutorial covers the following material tutorial 0 programming basics tutorial 1 unigram language models tutorial 2 bigram language models tutorial 3 word segmentation tutorial 4 part of speech tagging with hidden markov models tutorial 5 the perceptron algorithm tutorial 6 advanced discriminative training tutorial 7 neural networks tutorial 8 recurrent neural networks tutorial 9 topic models tutorial 10 phrase structure parsing tutorial 11 dependency parsing tutorial 12 structured perceptron tutorial 13 search algorithms bonus 1 kana kanji conversion for japanese input | ai |
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CSE438_Lab1_MyShoppingCalculator | fall 2018 cse 438 lab 1 my shopping calculator it is a simple shopping calculator that calculates the final price of a product based on its original price the current discount percentage and the local sales tax build environment xcode 9 4 swift 4 iphone 8 features users can input the original price discount percentage and sales tax percentage for a given product whenever a text field is changed the final price of the product is updated live users can change languages between english and korean based on the current language a corresponding currency sign will be used design choices when the app is run for the first time the empty uitextfield values are treated as 0 thus making the final price to be 0 00 because a tax is multiplied until every field is filled for the first time from there the final price will be responsive based on the change of the input values large numbers are handled by limiting the length of uitextfield to 10 digits the fields will only take digits 0 9 and decimal point demo the following demo shows the basic functionality of this app 1 1 gif the following demo shows the language and currency conversion feature 1 2 gif | front_end |
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curriculum | the odin project curriculum the odin project https www theodinproject com top is an open source curriculum for learning full stack web development our curriculum is divided into distinct courses each covering the subject language in depth each course contains a listing of lessons interspersed with multiple projects these projects give users the opportunity to practice what they are learning thereby reinforcing and solidifying the theoretical knowledge learned in the lessons completed projects may then be included in the user s portfolio lessons are structured through a combination of original written content and a compilation of carefully curated resources from the web this is where the contributing happens this repo contains the actual lesson files used on our website for the actual top app that pulls in this lesson content and contains our front end and back end code please go to the main top repo https github com theodinproject theodinproject our community can be found on the top discord server https discord gg fbfckyabzb contributing the odin project depends on open source contributions to improve grow and thrive we welcome contributors of all experience levels and backgrounds to help maintain this awesome curriculum and community if you would like to contribute to our curriculum be sure to thoroughly read our contributing guide https github com theodinproject github blob main contributing md some of the things you can do to contribute to our curriculum include correct typos and other grammar errors rewrite parts of existing lessons to make them clearer and easier to understand fix broken links add new resource links you think would make a lesson better work on entirely new lessons after getting approval happy coding see license md https github com theodinproject curriculum blob main license md for usage details created by erik trautman http www github com eriktrautman | ruby ruby-on-rails html css javascript node nodejs curriculum lessons students hacktoberfest | front_end |
NLP-tutorial | tutorial natural language processing instructor grishma jena https gjena github io how can computers interpret something so human like language can they actually understand what we are saying or are they hiding behind a fa ade of rules and algorithms how do these systems of zeroes and ones make sense of words this workshop introduces natural language processing in python and sheds light on how computers interpret our language attendees are introduced to nltk and gensim that help them tokenise process and represent textual data we will see how data is distilled into different linguistic features that power machine learning applications like text classifier sentiment analyser and topic modeler we will be using jupyter to execute python code for the purpose of this natural language processing tutorial it is highly recommended to use python 3 as python 2 will be has been sunset on january 1 2020 a virtual environment can be used to manage and isolate the packages for our project please follow these instructions to have all the dependencies ready before the tutorial as that will enable us to hit the ground running pre requisites using jupyter on your local machine requires installation of packages but you will be able to use jupyter and run code offline 1 ensure that pip is installed and upgrade it pip should already be available if you are using python 2 2 7 9 or python 3 3 4 downloaded from python org for further installation instructions check this https pip pypa io en stable installing 2 optional if you plan on using a virtual environment ensure virtualenv python 2 or venv python 3 is installed create a virtual environment and activate it detailed instructions here https packaging python org guides installing using pip and virtual environments 3 install the required packages using pip in the terminal python 3 python3 m pip install jupyter nltk lxml requests matplotlib scikit learn wikipedia gensim wordcloud user if you face problems installing nltk take a look at this https www nltk org install html or try with python 3 4 open a jupyter notebook with jupyter notebook in your terminal this opens in your browser at default port 8888 5 download the sample notebook introduction to nlp test and open it in jupyter execute the code by clicking on cell run cells check out this video https www youtube com watch v jz952vchhui for a quick introduction to jupyter feel free to contact me in case of any queries | ai |
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design-system-builder | ugnis ugnis is a design system builder that exports to react and figma keeping your designers and developers in sync license mit contributors karolis masiulis https www github com masiulis julita kriau i nait https github com julitork jonas bernotas https github com djonix justinas petuchovas https github com jpetuchovas vytas butkus http vytasbutkus com | react design component-library reactjs design-system pattern-library | os |
CS4243_2022 | cs4243 2022 computer vision and pattern recognition nus cs4243 2022 br br cloud machine 1 google colab free gpu follow this notebook installation br https colab research google com github xbresson cs4243 2022 blob master codes installation installation ipynb open your google drive br https www google com drive open in google drive folder cs4243 2022 and go to folder cs4243 2022 codes br select the notebook file ipynb and open it with google colab using control click open with colaboratory br br cloud machine 2 binder no gpu simply click here click here https mybinder org v2 gh xbresson cs4243 2022 main br br local installation for osx linux open a terminal and type sh conda installation curl https repo continuum io miniconda miniconda3 latest linux x86 64 sh o miniconda sh j l k linux curl https repo continuum io miniconda miniconda3 latest macosx x86 64 sh o miniconda sh j l k osx chmod x miniconda sh miniconda sh source bashrc clone github repo git clone https github com xbresson cs4243 2022 git cd cs4243 2022 install python libraries conda env create f environment yml source activate deeplearn course run the notebooks in chrome jupyter notebook local installation for windows sh install anaconda https repo anaconda com miniconda miniconda3 latest windows x86 64 exe open an anaconda terminal go to application anaconda3 anaconda prompt install git type in terminal conda install git clone github repo git clone https github com xbresson cs4243 2022 git cd cs4243 2022 install python libraries conda env create f environment windows yml conda activate deeplearn course run the notebooks in chrome jupyter notebook br br br br br br | ai |
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manik-calculator | manik calculator java web application manik calculator is a java based web application that allows users to perform basic arithmetic operations such as addition subtraction multiplication and division the application features a user friendly gui and is built using spring mvc features perform addition subtraction multiplication and division operations user friendly web interface error handling for invalid inputs spring mvc framework maven for build automation docker support for containerization jmeter tests for load testing smoke testing script no ide required fully configured for cli usage prerequisites java development kit jdk installed on your system maven installed on your system docker installed on your system installation 1 clone the repository git clone https github com manikcloud manik calculator git navigate to the project directory cd manik calculator build the project using maven mvn clean install build the docker image using maven mvn clean docker build run the docker container docker run d p 8080 8080 name manik calculator container manik calculator access the application in your browser at http localhost 8080 testing smoke test a smoke test script is provided in the project to run the smoke test execute the following command in the project root directory smoke test sh jmeter load test a jmeter load test plan is provided in the jmeter tests directory to run the load test open jmeter load the calculator load test jmx file and execute the test plan jenkins integration this section describes how to set up a jenkins job to build test and deploy the manik calculator project prerequisites jenkins installed on your system or available through a remote server jdk and maven installed on the jenkins build agent docker installed on the jenkins build agent if you plan to build and deploy docker images installing required plugins before creating a jenkins job ensure that the following plugins are installed 1 maven integration plugin 2 git plugin 3 jacoco plugin 4 clover plugin optional 5 docker pipeline plugin to install the plugins go to manage jenkins manage plugins available tab search for the plugins select them and click install without restart creating a jenkins job 1 in the jenkins dashboard click on new item in the top left corner 2 enter a name for the job e g manik calculator job choose freestyle project and click ok 3 in the source code management section select git and enter the repository url configure the credentials if required 4 in the build triggers section choose the desired build trigger e g poll scm or github hook trigger for gitscm polling 5 in the build section click add build step and select invoke top level maven targets enter the maven goals as clean install 6 in the post build actions section add the following actions click add post build action and choose record jacoco coverage report leave the default settings optional click add post build action and choose clover coverage report leave the default settings if you want to build and deploy the docker image click add post build action and choose docker build and publish configure the repository dockerfile location and other settings as needed 7 click save now you can manually trigger the job or wait for the configured trigger to start the build jenkins will build test and deploy the manik calculator project based on the provided configuration monitoring the jenkins job to monitor the progress and results of the jenkins job 1 in the jenkins dashboard click on the job name e g manik calculator job 2 in the build history section click on the build number to see its details 3 on the build details page you can view the console output test results code coverage reports and other information related to the build manik calculator sonarqube maven and jenkins integration this readme provides a step by step guide for installing sonarqube and configuring jenkins job to integrate with the manik calculator project sonarqube docker installation before installing sonarqube using docker ensure that your system meets the following prerequisites minimum 8gb ram to run sonarqube container smoothly if you meet the prerequisites follow these steps to install sonarqube using docker 1 ensure docker is installed on your system if it s not installed download and install docker from above mentioned command sonarqube docker installation 1 ensure docker is installed on your system if it s not installed download and install docker from the official docker website 2 open your terminal and run the following command to download the sonarqube docker image docker pull sonarqube 3 once the image is downloaded run the following command to start a sonarqube container docker run d name sonarqube p 9000 9000 sonarqube 4 access the sonarqube web interface by opening your web browser and navigating to http 44 206 250 166 9000 5 once the sonarqube web interface is up and running log in using the default credentials username admin password admin 6 create a new project in sonarqube by following the instructions on the sonarqube web interface jenkins job configuration 1 ensure jenkins is installed on your system if it s not installed download and install jenkins from the official jenkins website 2 open your jenkins dashboard and navigate to manage jenkins manage plugins 3 install the following plugins sonarqube scanner git 4 once the plugins are installed create a new jenkins job by clicking on new item and selecting freestyle project 5 in the general section give your job a name and specify the git repository url for the manik calculator project 6 in the build section add the following build step mvn clean package sonar sonar dsonar host url http 44 206 250 166 9000 dsonar login admin dsonar password admin this command will run the mvn command to build the manik calculator project and then run the sonarqube scanner to analyze the code and send the results to the sonarqube server running at http 44 206 250 166 9000 7 save your jenkins job and run it once the job has finished running you can view the sonarqube analysis report by logging in to the sonarqube web interface and navigating to the project you created in step 6 of the sonarqube docker installation section hiding sonarqube password in jenkins to hide your sonarqube password in jenkins you can use the jenkins credentials plugin to store your password securely and reference it in your jenkins job configuration here are the steps to do so 1 install the jenkins credentials plugin if it s not already installed 2 go to jenkins dashboard and navigate to credentials system global credentials add credentials 3 choose username with password as the kind of credentials 4 enter your sonarqube username in the username field 5 enter your sonarqube password in the password field 6 give the credentials an id and a description for future reference 7 in your jenkins job configuration replace the sonar login and sonar password arguments in the mvn command with the following dsonar login sonar user dsonar password sonar password this will reference the sonarqube username and password stored in the jenkins credentials plugin 8 under build environment section of your jenkins job configuration add the use secret text s or file s option 9 in the bindings section click on add and choose username and password separated option 10 in the username variable field enter sonar user 11 in the password variable field enter sonar password 12 in the username credentials dropdown choose the credentials you created in step 2 13 save your jenkins job and run it the sonarqube password will now be securely stored in jenkins and not visible in your job configuration congratulations you have successfully integrated the manik calculator project with sonarqube and jenkins connect follow for more info please connect and follow me github https github com manikcloud https github com manikcloud linkedin https www linkedin com in vkmanik https www linkedin com in vkmanik email varunmanik1 gmail com mailto varunmanik1 gmail com facebook https www facebook com cloudvirtualization https www facebook com cloudvirtualization youtube https bit ly 32fknrn https bit ly 32fknrn twitter https twitter com varunkmanik https twitter com varunkmanik | front_end |
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CSE598 | cse598 engineering blockchain applications spring 2022 nodejs smart contract template for the hyperledger fabric you can use fabric samples https github com hyperledger fabric samples to get started working with hyperledger fabric explore important fabric features and learn how to build applications that can interact with blockchain networks to learn more about hyperledger fabric visit the fabric documentation https hyperledger fabric readthedocs io en release 2 2 whatis html smart contract testing tool for assignment 1 https www asu grader lti com assignment 1 | blockchain |
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DLCV2018SPRING | deep learning for computer vision lecturer prof yu chiang frank wang http vllab ee ntu edu tw members html br course website http vllab ee ntu edu tw dlcv html repo content 1 principal component analysis and k nearest neighbors classification link https github com thtang dlcv2018spring tree master hw1 2 kernel method color and texture segmentation recognition with bag of visual words link https github com thtang dlcv2018spring tree master hw2 3 semantic segmentation of satellite images link https github com thtang dlcv2018spring tree master hw3 4 image generation and feature disentanglement link https github com thtang dlcv2018spring tree master hw4 5 recurrent neural networks rnn for action recognition link https github com thtang dlcv2018spring tree master hw5 6 face recognition and model compression link https github com thtang dlcv2018spring tree master final experiment environment os ubuntu 16 04 3 lts python 3 gpu 1080 ti 11g ram cpu xeon r e5 2667 v4 ram 500 gb contact feel free to contact me thtang nlg csie ntu edu tw if you have any problem | computer-vision deep-learning convolutional-neural-networks image-segmentation image-generation feature-disentanglement semantic-segmentation codeword seq2seq action-recognition many-to-many recognition pytorch face-recognition model-compression | ai |
mindspore-nlp-tutorial | mindspore nlp tutorial p align center img width 400 src https raw githubusercontent com mindspore ai mindspore master docs mindspore logo png p mindspore nlp tutorial is a tutorial for who is studying nlp natural language processing using mindspore this repository is migrated from nlp tutorial https github com graykode nlp tutorial most of the models in nlp were migrated from pytorch version with less than 100 lines of code except comments or blank lines notice all models are tested on cpu linux and macos gpu and ascend curriculum example purpose 1 basic embedding model 1 1 nnlm neural network language model 1 1 nnlm predict next word paper a neural probabilistic language model 2003 http www jmlr org papers volume3 bengio03a bengio03a pdf 1 2 word2vec skip gram 1 2 word2vec embedding words and show graph paper distributed representations of words and phrases and their compositionality 2013 https papers nips cc paper 5021 distributed representations of words and phrases and their compositionality pdf 1 3 fasttext application level 1 3 fasttext sentence classification paper bag of tricks for efficient text classification 2016 https arxiv org pdf 1607 01759 pdf colab fasttext ipynb https colab research google com github graykode nlp tutorial blob master 1 3 fasttext fasttext ipynb 2 cnn convolutional neural network 2 1 textcnn 2 1 textcnn binary sentiment classification paper convolutional neural networks for sentence classification 2014 http www aclweb org anthology d14 1181 3 rnn recurrent neural network 3 1 textrnn 3 1 textrnn predict next step paper finding structure in time 1990 http psych colorado edu kimlab elman1990 pdf 3 2 textlstm 3 2 textlstm autocomplete paper long short term memory 1997 https www bioinf jku at publications older 2604 pdf 3 3 bi lstm 3 3 bi lstm predict next word in long sentence 4 attention mechanism 4 1 seq2seq 4 1 seq2seq change word paper learning phrase representations using rnn encoder decoder for statistical machine translation 2014 https arxiv org pdf 1406 1078 pdf 4 2 seq2seq with attention 4 2 seq2seq attention translate paper neural machine translation by jointly learning to align and translate 2014 https arxiv org abs 1409 0473 4 3 bi lstm with attention 4 3 bi lstm attention binary sentiment classification 5 model based on transformer 5 1 the transformer 5 1 transformer translate paper attention is all you need 2017 https arxiv org abs 1706 03762 5 2 bert 5 2 bert classification next sentence predict masked tokens paper bert pre training of deep bidirectional transformers for language understanding 2018 https arxiv org abs 1810 04805 dependencies python 3 7 5 mindspore 1 9 0 pytorch 1 7 1 for comparation author yufeng lyu author email lvyufeng2007 hotmail com acknowledgements to graykode https github com graykode who opensource the pytorch and tensorflow version | mindspore nlp tutorial natural-language-processing | ai |
sql-challenge | sql challenge sql data engineering and analysis project task was to create a database and tables to hold 6 csvs representing employee data using postgresql and an erd with a data sketching tool 8 queries were run the database was then imported into pandas for further analysis including creating visualizations with matplotlib and sqlalchemy to present the conclusion that the data is irregular averagesalarybytitlebox https user images githubusercontent com 44123311 118341474 21ea4600 b4d4 11eb 889f 17ff3a7e9367 png | server |
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neo-go | p align center picture source media prefers color scheme dark srcset github logo dark png source media prefers color scheme light srcset github logo light png img src github logo light png width 300px alt neogo logo picture p p align center b go b node and sdk for the a href https neo org neo a blockchain p hr codecov https codecov io gh nspcc dev neo go branch master graph badge svg https codecov io gh nspcc dev neo go githubworkflows tests https github com nspcc dev neo go actions workflows tests yml badge svg https github com nspcc dev neo go actions workflows tests yml report https goreportcard com badge github com nspcc dev neo go https goreportcard com report github com nspcc dev neo go godoc https godoc org github com nspcc dev neo go status svg https godoc org github com nspcc dev neo go github release latest semver https img shields io github v release nspcc dev neo go sort semver license https img shields io github license nspcc dev neo go svg style popout overview neogo is a complete platform for distributed application development built on top of and compatible with the neo project https github com neo project this includes but not limited to see documentation for more details consensus node docs consensus md rpc node client docs rpc md cli tool docs cli md smart contract compiler docs compiler md neo virtual machine docs vm md smart contract examples examples readme md oracle service docs oracle md state validation service docs stateroots md the protocol implemented here is neo n3 compatible however you can also find an implementation of the neo legacy protocol in the master 2 x branch https github com nspcc dev neo go tree master 2 x and releases before 0 80 0 0 7x y track getting started installation neogo is distributed as a single binary that includes all the functionality provided but smart contract compiler requires go compiler to operate you can grab it from releases page https github com nspcc dev neo go releases use a docker image see docker hub https hub docker com r nspccdev neo go for various releases of neogo latest points to the latest release or build yourself building building neogo requires go 1 19 and make make the resulting binary is bin neo go notice that using some random revision from the master branch is not recommended it can have any number of incompatibilities and bugs depending on the development stage please use tagged released versions building on windows to build neogo on windows platform we recommend you to install make from mingw package https osdn net projects mingw then you can build neogo with make the resulting binary is bin neo go exe running a node a node needs to connect to some network either local one usually referred to as privnet or public like mainnet or testnet network configuration is stored in a file and neogo allows you to store multiple files in one directory config by default and easily switch between them using network flags to start neo node on a private network use bin neo go node or specify a different network with an appropriate flag like this bin neo go node mainnet available network flags mainnet m privnet p testnet t to run a consensus committee node refer to consensus documentation docs consensus md if you re running a node on windows please turn off or configure windows firewall appropriately allowing inbound connections to the p2p port docker by default the cmd is set to run a node on privnet so to do this simply run bash docker run d name neo go p 20332 20332 p 20331 20331 nspccdev neo go which will start a node on privnet and expose node s ports 20332 p2p protocol and 20331 json rpc server importing mainnet testnet dump files if you want to jump start your mainnet or testnet node with chain archives provided by ngd https sync ngd network follow these instructions wget chain acc zip chain dump file unzip chain acc zip bin neo go db restore m i chain acc for testnet use t flag instead of m the process differs from the c node in that block importing is a separate mode after it ends the node can be started normally running a private network refer to consensus node documentation docs consensus md smart contract development please refer to neogo smart contract development workshop https github com nspcc dev neo go sc wrkshp that shows some simple contracts that can be compiled deployed run using neogo compiler sdk and a private network for details on how go code is translated to neo vm bytecode and what you can and can not do in a smart contract please refer to the compiler documentation docs compiler md refer to examples examples readme md for more neo smart contract examples written in go wallets neogo wallet is just a nep 6 https github com neo project proposals blob 68398d28b6932b8dd2b377d5d51bca7b0442f532 nep 6 mediawiki file that is used by cli commands to sign various things cli commands are not a direct part of the node but rather a part of the neogo binary their implementations use rpc to query data from the blockchain and perform any required actions it s not required to open a wallet on an rpc node unless your node provides some service for the network like consensus or oracle nodes do monitoring neogo provides prometheus https prometheus io docs guides go application and pprof https golang org pkg net http pprof services that can be enabled in the node in order to provide additional monitoring and debugging data configuring any of the two services is easy add the following section pprof instead of prometheus if you need that to the respective config protocol yml prometheus enabled true addresses 2112 where you can switch on off and define port prometheus is enabled and pprof is disabled by default contributing feel free to contribute to this project after reading the contributing guidelines contributing md before starting to work on a certain topic create a new issue first describing the feature topic you are going to implement contact roman khimov https github com roman khimov on github annashaleva https github com annashaleva on github fyrchik https github com fyrchik on github reach out to us on the neo discord https discordapp com invite r8v48ya channel license open source mit license md | golang neo go blockchain smartcontracts | blockchain |
coffee-pi-radar | software defined radar using raspberry pi and coffee cans project for uw ee542 advanced embedded systems design overview motivation dr gregory charvat et al developed and documented a simple yet powerful laptop radar system http ocw mit edu resources res ll 003 build a small radar system capable of sensing range doppler and synthetic aperture radar imaging january iap 2011 projects mitres ll 003iap11 proj in pdf that uses coffee cans as receive transmit antennas i have wanted to have an excuse for trying this out pairing it with a raspberry pi instead of a laptop and giving it some battery power to deploy in front of my house and record all the speed limit busters similar projects have been implemented and provided at least a little direction for me doppler radar explanation and demo using the coffee can radar https www youtube com watch v fowopyv jtm list pl60ebff0dda0145ca this documentation will attempt to serve as a guide for duplicating and possibly extending my own effort abstract doppler radar is an older technology that is finding renewed interest with modern computing hardware and software advances it is widely used in applications like weather forecasting law enforcement aerospace and healthcare the technology exploits the doppler effect to remotely capture data about a moving object s velocity additionally system on a chip technology is continually making it easier to deploy complicated embedded systems this project will leverage the cantenna radar project developed by dr gregory charvat at mit interfaced via a sound card to a raspberry pi to develop and deploy a simple real time doppler radar the system will be used to measure log and analyze the speed of vehicles on a residential street over time doppler processing playback using the sample data from the mit opencourseware site http ocw mit edu resources res ll 003 build a small radar system capable of sensing range doppler and synthetic aperture radar imaging january iap 2011 i developed a visualization tool that demonstrates real time playback peak speed detection and combines it with the sound file itself i uploaded the video to youtube and it can be access by clicking the image below the upper subplot is a frequency view transformed to speed in mph of an average over 5 coherent integration periods or dwells each dwell is over 50 ms and so the doppler spectrum being shown is over 250 ms a 1 4 of a second this seems a reasonable rate at which to track vehicle movement assuming of course the vehicle has negligible accelaration over this period the red is the maximum value over the spectrum at that moment and is a reasonable estimate of the speed the lower subplot is an image of the same 250 ms period but seen from above that is the color intensity values reflect the signal magnitude at that pixel this image scrolls over time doppler playbak https img youtube com vi jb oinujbwk 0 jpg https www youtube com watch v jb oinujbwk also the full doppler image is included as reference diagram figs doppler image png function descriptions doppler speed detector report doppler speed detector pdf audio scope report audioscope pdf system overview figs block diagram png schedule see gantt chart report gantt chart pdf bill of materials see bill of materials report bom txt steps 1 setting up raspberry pi 2 installing os onto sd chip o chose to use arch linux arm o followed instructions at https archlinuxarm org platforms armv7 broadcom raspberry pi 2 o challenge initially followed instructions for raspberry pi 1 o arm architectures have less software driver support than x 86 git basics to clone this repository you must have a git client installed this overview will assume you have installed git for windows https git scm com download win and have the git bash shell available although the instructions will work in any unix like shell environment clone the repository by executing git clone https github com p5a0u9l ee542 this will download and place the files in a folder called ee542 to add material to the repository simply move the file s to folder containing the repo git will automatically see these new files if from the bash shell inside the repo possibly need a cd ee542 you enter git status you will see something like diagram figs gst png the simplest way to push this new file to github com is with git add a git commit m this is my message git push origin master the output should look something like diagram figs push png | os |
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SpamFilter | spam filter authors michael aquilina https github com killaw0lf04 uwe l korn https github com xhochy project for introduction to machine learning course requirements can be found in the following pages spam filter implementation https www cs bris ac uk teaching resources coms30301 projects spam 1 index html training and classification https www cs bris ac uk teaching resources coms30301 projects spam 2 index html results current terms selected from feature selection https gist github com killaw0lf04 d430834e07b4e7aa3901 json format for saving emailclassifier https gist github com killaw0lf04 2ec98c3d2ad29085fcd1 most representative features detected by the naive bayes classifier https gist github com killaw0lf04 ddb0871769b75d37b49e design a design wiki https github com killaw0lf04 spamfilter wiki design has been set up to establish a common understanding of components and milestones needed to complete the project this should also help us when it comes to writing the report for hand in current machine learning models perceptron naive bayes decision tree third party code porter stemmer algorithm http tartarus org martin porterstemmer in java http tartarus org martin porterstemmer java txt abstractadapter is based on this stackoverflow post http stackoverflow com questions 5800433 polymorphism with gson | ai |
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elec-3050 | elec 3050 embedded systems projects | os |
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FluentWPF | h1 align center img src logo png width 256 br fluentwpf h1 h4 align center fluent design system for wpf h4 div align center nuget https img shields io nuget v fluentwpf svg https www nuget org packages fluentwpf latest nuget preview https img shields io nuget vpre fluentwpf svg https www nuget org packages fluentwpf latest prerelease nuget download https img shields io nuget dt fluentwpf svg https www nuget org packages fluentwpf license https img shields io github license sourcechord fluentwpf https github com sourcechord fluentwpf blob master license div overview acrylic acrylicwindow acrylicbrush reveal reveal styles for controls button textbox listbox parallaxview accentcolors reveal docs reveal demo gif install nuget package install package fluentwpf https nuget org packages fluentwpf preparation add xaml namespace xml xmlns fw clr namespace sourcechord fluentwpf assembly fluentwpf add resourcedictionary to app xaml xml application resources resourcedictionary resourcedictionary mergeddictionaries fluentwpf controls resourcedictionary source pack application fluentwpf component styles controls xaml resourcedictionary mergeddictionaries resourcedictionary application resources usage acrylic acrylicwindow acrylicwindow docs acrylic acrylicwindow gif xml fw acrylicwindow x class wpfapp1 mainwindow xmlns http schemas microsoft com winfx 2006 xaml presentation xmlns x http schemas microsoft com winfx 2006 xaml xmlns d http schemas microsoft com expression blend 2008 xmlns mc http schemas openxmlformats org markup compatibility 2006 xmlns local clr namespace wpfapp1 xmlns fw clr namespace sourcechord fluentwpf assembly fluentwpf mc ignorable d title mainwindow height 300 width 300 grid background 70ffffff textblock margin 10 horizontalalignment left verticalalignment top text this is acrylicwindow textwrapping wrap grid fw acrylicwindow code behind remove base class definition cs public partial class mainwindow public mainwindow initializecomponent properties property name type description tintcolor color gets or sets the color tint for the semi transparent acrylic material tintopacity double gets or sets the degree of opacity of the color tint noiseopacity double gets or sets the degree of opacity of the noise layer fallbackcolor color gets or sets the color when window is inactive acrylicwindowstyle normal br noicon br none gets or sets a value that indicates the style of the acrylic window the difference between kind of acrylicwindowstyle is demonstrated as follows acrylicwindowstyle normal acrylicwindowstyle noicon acrylicwindowstyle none img src https user images githubusercontent com 14825436 58757611 25d06800 854a 11e9 8661 b79d9e249036 png height 90 img src https user images githubusercontent com 14825436 58757615 37b20b00 854a 11e9 9512 966c912b15bb png height 90 img src https user images githubusercontent com 14825436 58757616 4bf60800 854a 11e9 85b3 bff1518849ec png height 90 using as attached property acrylicwindow can also be used as an attached property xml window x class wpfapp1 mainwindow xmlns http schemas microsoft com winfx 2006 xaml presentation xmlns x http schemas microsoft com winfx 2006 xaml xmlns d http schemas microsoft com expression blend 2008 xmlns mc http schemas openxmlformats org markup compatibility 2006 xmlns local clr namespace wpfapp1 xmlns fw clr namespace sourcechord fluentwpf assembly fluentwpf mc ignorable d title acrylicwindow2 height 300 width 300 fw acrylicwindow enabled true grid grid window code behind cs public partial class mainwindow window public mainwindow initializecomponent acrylicbrush acrylicbrush docs acrylic acrylicbrush gif xml window x class fluentwpfsample views acrylicbrushsample xmlns http schemas microsoft com winfx 2006 xaml presentation xmlns x http schemas microsoft com winfx 2006 xaml xmlns d http schemas microsoft com expression blend 2008 xmlns fw clr namespace sourcechord fluentwpf assembly fluentwpf xmlns local clr namespace fluentwpfsample views xmlns mc http schemas openxmlformats org markup compatibility 2006 title acrylicbrushsample width 640 height 480 mc ignorable d window resources booleantovisibilityconverter x key booleantovisibilityconverter window resources grid grid rowdefinitions rowdefinition rowdefinition height auto grid rowdefinitions grid x name grid background white grid columndefinitions columndefinition width auto columndefinition grid columndefinitions stackpanel button width 75 margin 5 content button button width 75 margin 5 content button button width 75 margin 5 content button stackpanel image grid column 1 margin 5 source fluentwpfsample component assets images 1 jpg grid rectangle grid columnspan 2 margin 40 fill fw acrylicbrush grid stroke black visibility binding ischecked elementname chkshowacryliclayer converter staticresource booleantovisibilityconverter checkbox x name chkshowacryliclayer grid row 1 margin 5 horizontalalignment left content show acrylic rect ischecked true grid window reveal reveal effect for controls to use the reveal effect set fw pointertracker enabled true on a parent container reveal docs reveal reveal gif xml grid fw pointertracker enabled true background 01ffffff margin 3 stackpanel button content button horizontalalignment left margin 5 width 75 height 32 style staticresource buttonrevealstyle button content button horizontalalignment left margin 5 width 75 height 32 background transparent style staticresource buttonrevealstyle textbox horizontalalignment left height 23 margin 5 text textbox width 120 style staticresource textboxrevealstyle stackpanel grid styles control style name button buttonrevealstyle button buttonaccentrevealstyle button buttonroundrevealstyle button buttonroundaccentrevealstyle textbox textboxrevealstyle passwordbox passwordboxrevealstyle listbox listboxrevealstyle combobox comboboxrevealstyle parallaxview parallaxview docs controls parallaxview gif xml grid fw parallaxview verticalshift 200 horizontalshift 200 source binding elementname list image source fluentwpfsample component assets images 1 jpg stretch uniformtofill fw parallaxview listbox x name list background 88eeeeee scrollviewer cancontentscroll false itemssource binding items grid properties property name type description accentcolors brushes docs accentcolors brushes png xml stackpanel margin 5 stackpanel resources style targettype border setter property width value 120 setter property height value 120 setter property margin value 3 setter property borderbrush value black setter property borderthickness value 1 style style targettype textblock setter property textwrapping value wrap setter property verticalalignment value bottom setter property fontsize value 14 style stackpanel resources stackpanel orientation horizontal margin 5 border background x static fw accentcolors immersivesystemaccentbrush textblock text immersivesystemaccentbrush border stackpanel stackpanel orientation horizontal margin 5 border background x static fw accentcolors immersivesystemaccentlight1brush textblock text immersivesystemaccentlight1brush border border background x static fw accentcolors immersivesystemaccentlight2brush textblock text immersivesystemaccentlight2brush border border background x static fw accentcolors immersivesystemaccentlight3brush textblock text immersivesystemaccentlight3brush border stackpanel stackpanel orientation horizontal margin 5 border background x static fw accentcolors immersivesystemaccentdark1brush textblock text immersivesystemaccentdark1brush foreground white border border background x static fw accentcolors immersivesystemaccentdark2brush textblock text immersivesystemaccentdark2brush foreground white border border background x static fw accentcolors immersivesystemaccentdark3brush textblock text immersivesystemaccentdark3brush foreground white border stackpanel stackpanel accent color accent color depends on the accent color of the system sample color brush a6d8ff https via placeholder com 15 a6d8ff text immersivesystemaccentlight3 immersivesystemaccentlight3brush 76b9ed https via placeholder com 15 76b9ed text immersivesystemaccentlight2 immersivesystemaccentlight2brush 429ce3 https via placeholder com 15 429ce3 text immersivesystemaccentlight1 immersivesystemaccentlight1brush 0078d7 https via placeholder com 15 0078d7 text immersivesystemaccent immersivesystemaccentbrush 005a9e https via placeholder com 15 005a9e text immersivesystemaccentdark1 immersivesystemaccentdark1brush 004275 https via placeholder com 15 004275 text immersivesystemaccentdark2 immersivesystemaccentdark2brush 002642 https via placeholder com 15 002642 text immersivesystemaccentdark3 immersivesystemaccentdark3brush usage xml border background x static fw accentcolors immersivesystemaccentbrush border background binding path fw accentcolors immersivesystemaccentbrush base color light dark color brush 000000 https via placeholder com 15 000000 text ffffff https via placeholder com 15 ffffff text systembasehighcolor systembasehighcolorbrush 333333 https via placeholder com 15 333333 text cccccc https via placeholder com 15 cccccc text systembasemediumhighcolor systembasemediumhighcolorbrush 666666 https via placeholder com 15 666666 text 999999 https via placeholder com 15 999999 text systembasemediumcolor systembasemediumcolorbrush 999999 https via placeholder com 15 999999 text 666666 https via placeholder com 15 666666 text systembasemediumlowcolor systembasemediumlowcolorbrush cccccc https via placeholder com 15 cccccc text 333333 https via placeholder com 15 333333 text systembaselowcolor systembaselowcolorbrush usage xml border background dynamicresource systembasehighcolorbrush alt color light dark color brush ffffff https via placeholder com 15 ffffff text 000000 https via placeholder com 15 000000 text systemalthighcolor systemalthighcolorbrush cccccc https via placeholder com 15 cccccc text 333333 https via placeholder com 15 333333 text systemaltmediumhighcolor systemaltmediumhighcolorbrush 999999 https via placeholder com 15 999999 text 666666 https via placeholder com 15 666666 text sytemaltmediumcolor sytemaltmediumcolorbrush 666666 https via placeholder com 15 666666 text 999999 https via placeholder com 15 999999 text systemaltmediumlowcolor systemaltmediumlowcolorbrush 333333 https via placeholder com 15 333333 text cccccc https via placeholder com 15 cccccc text systemaltlowcolor systemaltlowcolorbrush usage xml textblock foreground dynamicresource systemalthighcolorbrush chrome color light dark color brush cccccc https via placeholder com 15 cccccc text 767676 https via placeholder com 15 767676 text systemchromehighcolor systemchromehighcolorbrush e6e6e6 https via placeholder com 15 e6e6e6 text 1f1f1f https via placeholder com 15 1f1f1f text sytemaltmediumcolor sytemaltmediumcolorbrush f2f2f2 https via placeholder com 15 f2f2f2 text 2b2b2b https via placeholder com 15 2b2b2b text systemchromemediumlowcolor systemchromemediumlowcolorbrush f2f2f2 https via placeholder com 15 f2f2f2 text 171717 https via placeholder com 15 171717 text systemchromelowcolor systemchromelowcolorbrush usage xml border background dynamicresource systemchromemediumbrush opacity color windows includes a set of colors that differ only by their opacities base color opacity color brush 000000 https via placeholder com 15 000000 text ff systemchromeblackhighcolor systemchromeblackhighcolorbrush 000000 https via placeholder com 15 000000 text cc systemchromeblackmediumcolor systemchromeblackmediumcolor 000000 https via placeholder com 15 000000 text 66 systemchromeblackmediumlowcolor systemchromeblackmediumlowcolorbrush 000000 https via placeholder com 15 000000 text 33 systemchromeblacklowcolor systemchromeblacklowcolorbrush ffffff https via placeholder com 15 ffffff text 33 systemlistmediumcolor systemlistmediumcolorbrush ffffff https via placeholder com 15 ffffff text 19 systemlistlowcolor systemlistlowcolorbrush other colors light dark color brush ffffff https via placeholder com 15 ffffff text ffffff https via placeholder com 15 ffffff text systemchromewhitecolor systemchromewhitecolorbrush 171717 https via placeholder com 15 171717 text f2f2f2 https via placeholder com 15 f2f2f2 text systemchromealtlowcolor systemchromealtlowcolorbrush cccccc https via placeholder com 15 cccccc text 333333 https via placeholder com 15 333333 text systemchromedisabledhighcolor systemchromedisabledhighcolorbrush 7a7a7a https via placeholder com 15 7a7a7a text 858585 https via placeholder com 15 858585 text systemchromedisabledlowcolor systemchromedisabledlowcolorbrush license mit license license | wpf xaml fluent-design fluentdesign theme acrylic c-sharp | os |
science_flask | p align center img src https github com danielhomola science flask blob master frontend static img logo medium png raw true alt science flask p science flask science flask is a web app template for online scientific research tools built with python flask javascript and bootstrap css there are two main reasons for creating this template 1 unfortunately there s quite a lot of horribly looking and barely functioning scientific tools online the reason behind this is simple we are scientists and not web developers keeping up with the latest trends learning css html and modern web dev practices is simply not in our job description and certainly not in our salary or grant money so most of the time we just want the tool to be online in almost any shape or form this however leads to two things many amazing projects simply are not made available online as the authors didn t have time know how energy funding for doing that many projects that do end up getting some form of online presence look hideo4us and are not very user friendly 2 i realised that there s an incredible amount of overhead involved with creating a fully functioning website with user management file uploads form validation etc you can learn flask in about a weekend to a level that you can understand code examples and start hacking away but it takes a long time to actually get a working website with all the features listed above here s the simple idea behind science flask p align center img src https github com danielhomola science flask blob master frontend static img sf flowchart png raw true alt science flask p notice how everything in blue is non specific to any scientific app so then why are we keep re developing it ideally scientists need not to work on anything else than the green bit then they can plug that into science flask with a few hours of work and have their tool online in a day or two instead of weeks i hope that by open sourcing science flask the activation energy for turning an offline science project or research tool into a functioning web app will be lowered significantly hopefully this will not only mean there ll be more science tools published but also they ll look and feel nicer and will be easier to use features so why shouldn t you just start hacking away following flask tutorials what exactly can science flask give you academic registration process user s are only allowed to register with a valid academic email address this is to ensure that your tool is mainly used for academic and research purposes and not for commercial uses if your institution or department uses a mail server which alters the end of your mail address from the cannonical one e g mail imperial ac uk instead of imperial ac uk you ll still be recognised standard user management furthermore it comes with all the rest of it email addresses are confirmed users can change passwords get password reset request if they forgot it etc thanks flask security you can also assign roles to different users and easily build custom user management logic for example you might decide that certain users can only use a part of the application while other users can access all features sql database all user study and analysis data is stored in an sqlite by defaul this can be changed to mysql or postgre sql easily and the same code will work thanks to sqlalchemy thanks to flask migrate if you change your app s model you can easily upgrade your database even when your app is deployed admin panel the model database tables and relations between them of your app can be easily edited online from anywhere using crud operations thanks to flask admin setting up an admin user who can edit users and other databases is as simple as modifying 2 lines in the config file upload form getting the data from the user sounds super simple but you d be surprised how long does it take to get a decent upload page also it s very easy to build complex form logic from the bricks science flask provides profile page this collects the uploaded studies of each user and let s them submit analysis on their data analysis form just like with the upload form you can build custom logic to ensure you get the parameters from the user just right the analysis job is then submitted to the backend this uses celery once the analysis is ready the user is notified in email then they can download or check out their results online logging all errors and warning messages are sent to the admins via email all analysis exceptions and errors could be catched so that the program crashes gracefully letting the user know what happened runs on bootstrap css modern mobile friendly responsive bootstrap makes writing good looking html pages dead easy tool tips and tours explain to the user how your application works with interactive tours available on all the above listed pages and tooltips python3 the whole project is written in python3 5 because it s 2017 example app in it s current form science flask implements a really simple scientific app 1 users can register with an academic email address 2 upload one or two datasets as csv or txt files 3 a series of checks are performed on the uploaded datasets all columns have to be numerical each dataset must have a feature and sample number that is between a predefined see config py minium and maximum if we have two datasets uploaded by the user they need a minimum number of intersecting samples missing values are imputed with their column wise median 4 then the user can submit an analysis and select the number of columns with highest variance that will be selected from each dataset 5 these features are used to calculate the a correlation matrix between them 6 if there s only one dataset uploaded the correlations are calculated between the features of this one dataset if two datasets are uploaded then three matrices plots are produced two for the features of the individual datasets and another that shows the correlation between the features of the two disperate datasets 7 the resulting p values of the correlation matrix are filtered using one of the user selected corrrection for multiple testing methods bonferroni or benjamini hochberg the user can also specify the the alpha level for hypothesis testing only correlations that pass both of these will be displayed 8 the tables and heatmap of correlations can be downloaded by the user or checked online the app used to run on aws on a t2 micro instance but i shut it down to save the 10 each month the deployment md https github com danielhomola science flask blob master deployment md explains the necessary steps to get your app to this stage nonetheless here are some screenshots from the site p align center img src https github com danielhomola science flask blob master frontend static img sf main png raw true alt science flask main page p p align center img src https github com danielhomola science flask blob master frontend static img sf profile png raw true alt science flask profile page p p align center img src https github com danielhomola science flask blob master frontend static img sf upload png raw true alt science flask upload page p p align center img src https github com danielhomola science flask blob master frontend static img sf admin png raw true alt science flask admin page p installation here s how to get science flask working in 2 minutes on linux it should be fairly similar on osx unfortunatly i don t have any experience with python development on windows so please let me know if you figured out how to get it to work a win machine clone the repo git clone https github com danielhomola science flask git cd science flask make a python 3 virtual environment using virtalenv or virtualenvwrapper if these are foreign concepts to you have a look here http python guide pt br readthedocs io en latest dev virtualenvs mkvirtualenv python usr bin python3 science flask workon science flask install all the required python packages into your virtual environment also install rabbitmq here s how https www rabbitmq com download html if you re not on ubuntu pip install r requirements txt sudo apt get install rabbitmq server customize frontend config example py and rename it to frontend config py 1 generate a secret key for your app like this https gist github com geoffalday 2021517 2 setup the username email password for the admin you can then log in with these credentials and go to the admin profile from the profile page then you can edit all the tables of the database from online 3 setup mail sending i used aws s ses service http docs aws amazon com ses latest developerguide quick start html but you can use gmail http stackoverflow com questions 37058567 configure flask mail to use gmail also create the sqlite database of the app and add the admin user python db create py if you d like to use alembic to migrate your database if you update it s schema then read this blog post https blog miguelgrinberg com post flask migrate alembic database migration wrapper for flask and the docs here https blog miguelgrinberg com post flask migrate alembic database migration wrapper for flask and do manage py db init manage py db migrate manage py db upgrade open up two terminals in one of them we ll run the flask app edit the manage py file and edit its 1st line so it points to your vm interpreter make it executible only need to do this once chmod x manage py manage py runserver in the second terminal window start the celery worker celery worker a frontend analysis celery loglevel info create three folders for the log files uploaded files and for the failed analyses mkdir userdata mkdir failedanalyses mkdir logs now go to chrome and type in http 0 0 0 0 5055 and voila you have science flask running on your computer you should be able to do everything that you can do on the online demo time to modify it to your needs deployment to the cloud aws see deployment md https github com danielhomola science flask blob master deployment md what do you need to get started with web app development science flask as the name suggests is built on flask which is a micro web framework written in python don t panic the actual sciency bit of your project can be in any language it doesn t have to be python you ll need to be familiar with flask and application development in flask at least a bit if you want to use this template the good news is though you really don t need to be a flask ninja and getting to sufficient level will not take longer than an a weekend have a look at this mega tutorial https blog miguelgrinberg com post the flask mega tutorial part i hello world and make sure you read the first 5 chapters you can pick up the rest as you go along btw there are dozens of other tutorials on flask and the community is really active and helpful so use and abuse google and stackoverflow you ll also need a good editor i d definitely recommend pycharm there s a community edition which is completely free it has amazing debugging refactoring and developing capabilities that will make your life so much easier tech stack the user facing part of the frontend is written in html bootstrap css js and bootstro js the templating is done with jinja2 default engine by flask the website is running on flask this is serving the clients with the requested content html css js it also validates the forms writes and reads from the database via sqlalchemy and does everything else you would expect from a web framework to do the upload uses a bit of ajax the backend can be in any language as long as celery can execute the job and you figure out a way how to do that doing the actual science bit of your app in python however is probably the easiest celery will run the submitted analyses as a job queue while your web app can continue to serve http requests as it should rabbitmq is a message broker between the flask web app and celery this is basically a messenger that let s celery know about any new submitted jobs while it let s flask now if any of the submitted jobs have finished running the models of the app connect to an sqlite database by default but this could be changed easily the emails are sent through amazon s free ses servcice but this can be changed to any mail server overall structure of science flask frontend frontend holds all the website components html css js and flask app that handles the views the database models the forms and their validation scripts in the following description all folders are marked with bold letters static holds all the content of the website that will not change css css files are kept here main css most of the site s look is defined here forms css some custom elements for the forms bootstro js you can modifiy the look of the tour here fonts icons and special fonts live here img any images that you d like to use logos figures etc js all javascript is sourced from here analysis js and upload js two main javascript files that you should look into uni holds the university domain database to check user emails robots txt sitemap xml both needed so search bots can do their job templates all the individual pages of the website are here security user registration and related pages utils standard error code pages and some custom error pages init py setup initialization and configuration of the flask app analysis py main script that is called when the user submits a new job config py all configuration info of the flask app is stored here make sure to read it and set everything up properly forms py upload analysis and registration forms with their validators models py database models tables for users studies analyses views py implements the main logic of the individual pages such as upload analysis profile view functions py additional functions that are called by views py which are put here so that views py doesn t get more bloated as it is already backend this is where you d put the actual bits and pieces of your scientific tool that do the analysis in the frontend analysis py will call functions your pipeline of functions from here to carry out what your app is advertised to be doing utils some utility functions already live here that are called by the frontend check uploaded files py this will check the uploaded files and make sure all the values in there are sensible and numerical you can modify this to your liking needs io params py while an analysis job is running a dictionary hash of parameters are kept that holds all the information about the particular job and the user this script reads those parameters in and returns them as a dictionary so analysis py can use it userdata each user that registers have a folder each uploaded dataset is then placed in the given user s folder finally the results of an analysis are stored under the folder of the given study this results in a hierarchy like this user1 study1 analysis1 analysis2 study2 analysis1 user2 study1 analysis1 analysis2 analysis3 failedanalyses when an analysis fails the state of the run intermediate files and parameters prior to the bug is all saved here cite science flask | front_end |
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resources | resources and information for mis3690 web technologies syllabus syllabus md project project md schedule for section 01 mw schedule 01 xlsx subject to minor changes schedule for section 02 tr schedule 02 xlsx subject to minor changes resources resources cheatsheets resources md javascript resources cheatsheets javascript md glossary cheatsheets glossary md vscode keyboard shortcuts cheatsheets vscode keyboard shortcuts windows pdf html5 cheat sheet cheatsheets html5 cheat sheet pdf css cheat sheet cheatsheets css cheat sheet pdf | server |
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software_cloud_engineering | software cloud engineering software a cloud engineering pathway aicore | cloud |
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es-backbone | es backbone js elasticsearch backbone mustache library for quickly building faceted search front ends overview if your data is already indexed and you know a bit about the elasticsearch api then this library should allow you to build an interactive front end for doing faceted search i ve built three so far and the last one took 35 minutes to build debug and deploy it also uses flot to provide pretty interactive graphs as inspired by shay s post here http www elasticsearch org 2011 05 13 data visualization with elasticsearch and protovis see examples simple simple php for all the library dependencies those paths are probably not the best places to serve them from where to start in the examples directory is a simple example but it has no server to work with to get it working grep through the files or todo and optional to figure out what you need to do if you have a public es endpoint i d love to have a working example to show off in this repository rough description of the backbone objects models search results model esbbsearchresultsmodel search query model esbbsearchquerymodel views view for search query input esbbsearchbarview view for displaying search results esbbsearchresultsview view for a timeline of search results date histogram facet esbbsearchfacettimelineview view for a pie chart of search results term and range facets esbbsearchfacetpieview view for values of a single facet term facet esbbsearchfacetselectview view for adding removing filters esbbsearchfilterselectview view for adding a date range filter esbbsearchdaterangepickerview view for creating a url to the current page esbbsearchurlview versions pre 0 2 many improvements to the lib but haven t yet update the example code added view for sorting results esbbsortview added esbbsearchfiltertermsselectorview to have one text entry field per filter rather than a single box for all filters added pushstate support to modify url in address bar timeline view can be displayed with the bars shown horizontally so it can fit in the sidebar some changes to search results formatting fixed bugs in search spinner fades out old results while new search in process number of results properly displayed added debugging info on query syntax errors 0 1 initial release works for me | front_end |
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deezer-downloader | music downloader tests https github com kmille deezer downloader workflows tests badge svg push image to dockerhub https github com kmille deezer downloader workflows push 20to 20dockerhub badge svg docker pulls https img shields io docker pulls kmille2 deezer downloader latest tag https img shields io github v tag kmille deezer downloader sort semver python 3 6 https img shields io badge python 3e 3 6 blue svg pypi version https img shields io pypi v deezer downloader pypi downloads https img shields io pypi dm deezer downloader features download songs albums public playlists from deezer com account is required free plan is enough download spotify playlists by parsing the spotify website and download the songs from deezer download as zip file including m3u8 playlist file 320 kbit s mp3s with id3 tags and album cover update right now only 128bkit s mp3 works see 66 download songs via yt dlp kiss keep it simple and stupid front end mpd integration use it on a raspberry pi simple rest api proxy support https socks5 how to use it there is a settings file template called settings ini example you can specify the download directory with download dir pressing the download button only downloads the song album playlist if you set use mpd true in the settings ini the backend will connect to mpd localhost 6600 and update the music database pressing the play button will download the music if use mpd true is set the mpd database will be updated and the song album playlist will be added to the playlist in settings ini music dir should be the music root location of mpd the download dir must be a subdirectory of music dir as deezer sometimes requires a captcha to login the auto login features was removed instead you have to manually insert a valid deezer cookie to the settings ini the relevant cookie is the arl cookie how to use it with pip you can run pip install user deezer downloader then you can run local bin deezer downloader help with docker you can use the docker image hosted on hub docker com https hub docker com r kmille2 deezer downloader login into your free deezer account and grab the arl cookie then bash mkdir downloads sudo docker run p 5000 5000 volume pwd downloads mnt deezer downloader env deezer cookie arl changeme kmille2 deezer downloader latest xdg open http localhost 5000 with vagrant bash vagrant up vagrant ssh sudo vim opt deezer settings ini insert your deezer cookie cd opt deezer sudo poetry run deezer downloader config settings ini on the host xdg open http localhost 5000 view frontend in the browser ncmpcpp h 127 0 0 1 try the mpd client as a service we use it with nginx and ympd https github com notandy ympd as mpd frontend goes to ympd d goes to the downloader the deployment directory contains a systemd unit file and a nginx vhost config file there is also a patch https github com kmille music ansible blob master roles ympd files fix header patch to add a link to the ympd frontend the debug tab will show you the debug output of the app shortcuts if you want to debug or build it from source there is a docker compose file in the docker directory the docker downloads directory is mounted into the container and will be used as download directory you have to check the permissions of the docker downloads directory as docker mounts it with the same owner group permissions as on the host the deezer user in the docker container has uid 1000 if you also have the uid 1000 then there should be no problem for debugging sudo docker compose build force rm sudo docker compose up developer setup tested on ubuntu jammy bash sudo apt get update q sudo apt get install qy vim tmux git ffmpeg python3 poetry is too old does not support groups sudo apt get install qy python3 pip sudo pip install poetry git clone https github com kmille deezer downloader git cd deezer downloader poetry install poetry run deezer downloader show config template settings ini enable yt dlp sudo pip install yt dlp sed i s command usr bin yt dlp command usr local bin yt dlp settings ini enable mpd sudo apt get install yq mpd ncmpcpp sudo sed i s music directory music directory tmp deezer downloader etc mpd conf sudo systemctl restart mpd sed i s use mpd false use mpd true settings ini 1 adjust the deezer cookie vim settings ini 2 run tests deezer downloader config file settings ini poetry run pytest v s 3 run it poetry run deezer downloader config settings ini 4 try out ncmpcpp h 127 0 0 1 xdg open http localhost 5000 5 downloaded files are in tmp deezer downloader ctrl m focus search bar enter serach for songs alt enter search for albums ctrl b go to this is where our ympd is ctrl shift 1 7 switch tabs some screenshots search for songs you can listen to a 30 second preview in the browser docs screenshots 2020 05 13 211356 screenshot png search for albums you can download them as zip file docs screenshots 2020 05 13 213544 screenshot png list songs of an album docs screenshots 2020 05 13 211528 screenshot png download songs with youtube dl docs screenshots 2020 05 13 211622 screenshot png download a spotify playlist docs screenshots 2020 05 13 211629 screenshot png download a deezer playlist docs screenshots 2020 05 13 211633 screenshot png ncmpcpp mpd client docs screenshots 2020 05 13 212025 screenshot png tests bash cd deezer downloader deezer downloader config file settings ini poetry run pytest v s if you don t setdeezer downloader config file the default template file will be used some tests will fail because there is no valid arl cookie deployment with ansible including mpd and ympd https github com kmille music ansible almost always outdated changelog version 2 0 0 27 03 2023 use poetry as build system build package and uploada to pypi worker threads now daemon threads they now just stop if you stop deezer downloader update config template remove http debug update dependencies switch to waitress from gunicorn version 1 3 3 27 12 2021 replace youtube dl by yt dl update third party dependencies version 1 3 2 26 11 2021 fix broken deezer download functionality 66 removes the ability to download flac quality update third party dependencies update ubuntu base image for the docker container version 1 3 1 21 01 2021 allow to set download quality flac mp3 via environment variable deezer flac quality 43 version 1 3 05 11 2020 feature download your favorite deezer songs automated tests with github actions push docker image to hub docker com https hub docker com repository docker kmille2 deezer downloader general with github actions version 1 2 01 11 2020 breaking change now use the arl cookie instead of the sid cookie this cookie does not expire so we don t need the background thread that keeps the session alive add support for flac as download format version 1 1 13 05 2020 thanks to luelista https github com luelista for the contribution play 30 second preview in browser add vagrantfile show album cover in search results use a threaded queue for download tasks list album songs | python deezer mpd music spotify youtube-dl | front_end |
FeedBack | feedback currently learning js and node afterwards i ll rewrite this project with full backend and with react js this is a feedback project from frontend mentor still in development current works index page only news check on react version https github com xpinked feedback react and its api https github com xpinked feedback api | server |
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FED | fed the front end develop kitchen join the chat at https gitter im ijse fed https badges gitter im join 20chat svg https gitter im ijse fed utm source badge utm medium badge utm campaign pr badge utm content badge fed url fed build status https travis ci org ijse fed png branch master https travis ci org ijse fed features freemarker http less coffee quick start 1 mkdir fedproj 2 fed npm install g fed 3 fedproj mock view 4 fed server p 3000 m mock view root view fedproj p 3000 http 3000 m mock mock folder connect middleware mock test res view root view freemarker test res web useful tips mock mapping file mock map a testa js b testb js http localhost 3000 a testa js mock global variables file mock globals json json appname fed view proxy redirect fedproj proxylist json search http www aaa com http localhost 3000 search http www aaa com search help manual fed help usage fed options command commands server launch local http service with serve2 help cmd display help for cmd options h help output usage information v version output the version number v versions output current fed version fed server h usage fed server options dir options h help output usage information v version output the version number a auth user pass specify basic auth credentials f format fmt specify the log format string p port port specify the port 3000 h hidden enable hidden file serving s no stylus disable stylus rendering j no jade disable jade rendering no less disable less css rendering i no icons disable icons l no logs disable request logging d no dirs disable directory serving f favicon path serve the given favicon m mocks path mock files directory cookies add cookies parse support c cors allows cross origin access serving compress gzip or deflate the response exec cmd execute command on each request issues https github com ijse fed issues issue contributing fork test npm test license the mit license copyright c 2011 ijse permission is hereby granted free of charge to any person obtaining a copy of this software and associated documentation files the software to deal in the software without restriction including without limitation the rights to use copy modify merge publish distribute sublicense and or sell copies of the software and to permit persons to whom the software is furnished to do so subject to the following conditions the above copyright notice and this permission notice shall be included in all copies or substantial portions of the software the software is provided as is without warranty of any kind express or implied including but not limited to the warranties of merchantability fitness for a particular purpose and noninfringement in no event shall the authors or copyright holders be liable for any claim damages or other liability whether in an action of contract tort or otherwise arising from out of or in connection with the software or the use or other dealings in the software | front_end |
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prj-nlp-2020 | nlp 2020 syllabus md grading md course project md 19 30 21 30 15 00 18 00 natural language processing with python http www nltk org book speech and language processing https web stanford edu jurafsky slp3 neural network methods for natural language processing http www morganclaypoolpublishers com catalog orig samples 9781627052955 sample pdf creative commons by nc 3 0 https creativecommons org licenses by nc 3 0 | ai |
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Uber-Data-Engineering-Project | uber data engineering project introduction the goal of this project is to perform data analytics on uber data using various tools and technologies including gcp storage python compute instance mage data pipeline tool bigquery and looker studio architecture architecture diagram https github com derickalex uber data engineering project blob main architecture jpg technology used programming language python google cloud platform 1 google storage 2 compute instance 3 bigquery 4 looker studio modern data pipeline tool mage ai https www mage ai dataset used tlc trip record data yellow and green taxi trip records include fields capturing pick up and drop off dates times pick up and drop off locations trip distances itemized fares rate types payment types and driver reported passenger counts here is the dataset used in the video dataset https github com derickalex uber data engineering project blob main data uber data csv data model data model diagram https github com derickalex uber data engineering project blob main datamodelling png | cloud |
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LLMs-Large-Language-Model | llms large language model large language models | ai |
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linguistics_problems | computational linguistics welcome to the main page of my project this repository stores examples of linguistics problems my name is daria i m a software engineer with skills in natural language processing my general scientific interests are knowledge bases and facts extraction there are very important analysis tools that provides semantic analysis and text mining project has next sections pre morphology pre morphology phonology phonology morphology morphology knowledge engineering knowledge engineering n grams applications n grams applications games games in the source code three languages is supported now english russian and finnish i hope that very soon next publishing problems will implement nlp algorithms for more languages source code pre morphology russian tokenizer src russian naivetokenizer py sentence boundary detection src russian naivesentenceboundarydetector py transliteration russian latin with spell checker src russian naivetransliterator py word decomposition src russian worddecompounder py camel case segmenter src english camelcasesplitter py distance to anagram src english anagrams py russian number2text converter src russian textnormalizer py phonology soundex algorithm implementation src russian soundex py syllable module word syllables count russian english finnish and word syllables list russian finnish src russian syllables py morphology russian patronymic generator src russian patronymic ya py russian diminutive names generator src russian diminutive names py russian cases generator dative src russian russian caser py russian cognate words checker src russian cognate words py english adjective comparisoner src english comparative or superlative py common english question generator src english question py finnish predicative sentences src suomi finnishpredicativequestioner py finnish pos tagger src suomi finnishpostagger py finnish case tagger src suomi finnish ending pos bilstm case tagger ipynb russian pos tagger src russian naivepostagger py syntax syntax analyzer for simple sentences src russian naivesyntaxanalyzer py knowledge engineering family tree src ontologies pedigree py abstract ontology for company src ontologies companyontology py simple timetable qa system src ontologies timetable py bookshelf src ontologies biblio n grams applications n gram dictionary for spelling for language modeling src ngrams ngramdictionarymanager py simple english word filler src ngrams wordfiller py n gram language model src ngrams languagemodel py collocations src ngrams collocations py russian diminutive names generator with rnn src ngrams diminutive rnn py russian character rnn non smoothing src ngrams charlevellanguagemodel py russian joking language model pi day src ngrams pidaylanguagemodel py simple spell checker based on n grams and damerau levenstein distance src russian spellchecker py advanced spell checker based on dictionary of words from good texts with 2 3 gram index train language model with 2 grams on good texts retrieval candidates with damerau levenstein distance find candidate with max probability of bigram max p prev word candidate candidate in candidates games russian cities src russian games cities py guess city src russian games guess city py guess number src russian games more or less py secret letter src russian games secret letter py opposites src russian games opposites game py | nlp machine-learning linguistics computational-linguistics ontologies python natural-language-processing natural-language-understanding language-modeling | ai |
loglizer | p align center a href https github com logpai img src https github com logpai logpai github io blob master img logpai logo jpg width 425 a p loglizer loglizer is a machine learning based log analysis toolkit for automated anomaly detection loglizer ai logs are imperative in the development and maintenance process of many software systems they record detailed runtime information during system operation that allows developers and support engineers to monitor their systems and track abnormal behaviors and errors loglizer provides a toolkit that implements a number of machine learning based log analysis techniques for automated anomaly detection telescope if you use loglizer in your research for publication please kindly cite the following paper shilin he jieming zhu pinjia he michael r lyu experience report system log analysis for anomaly detection https jiemingzhu github io pub slhe issre2016 pdf ieee international symposium on software reliability engineering issre 2016 bibtex https dblp org rec bibtex conf issre hezhl16 https github com amateurevents article issues 2 issre most influential paper framework framework of anomaly detection docs img framework png the log analysis framework for anomaly detection usually comprises the following components 1 log collection logs are generated at runtime and aggregated into a centralized place with a data streaming pipeline such as flume and kafka 2 log parsing the goal of log parsing is to convert unstructured log messages into a map of structured events based on which sophisticated machine learning models can be applied the details of log parsing can be found at our logparser project https github com logpai logparser 3 feature extraction structured logs can be sliced into short log sequences through interval window sliding window or session window then feature extraction is performed to vectorize each log sequence for example using an event counting vector 4 anomaly detection anomaly detection models are trained to check whether a given feature vector is an anomaly or not models anomaly detection models currently available model paper reference supervised models lr eurosys 10 fingerprinting the datacenter automated classification of performance crises https www microsoft com en us research wp content uploads 2009 07 hilighter pdf by peter bod k moises goldszmidt armando fox hans andersen microsoft decision tree icac 04 failure diagnosis using decision trees http www cs berkeley edu brewer papers icac2004 chen diagnosis pdf by mike chen alice x zheng jim lloyd michael i jordan eric brewer ebay svm icdm 07 failure prediction in ibm bluegene l event logs https www researchgate net publication 4324148 failure prediction in ibm bluegenel event logs by yinglung liang yanyong zhang hui xiong ramendra sahoo ibm unsupervised models lof sigmod 00 lof identifying density based local outliers by markus m breunig hans peter kriegel raymond t ng j rg sander one class svm neural computation 01 estimating the support of a high dimensional distribution by john platt bernhard sch lkopf john shawe taylor alex j smola robert c williamson isolation forest icdm 08 isolation forest https cs nju edu cn zhouzh zhouzh files publication icdm08b pdf by fei tony liu kai ming ting zhi hua zhou pca sosp 09 large scale system problems detection by mining console logs http iiis tsinghua edu cn weixu files sosp09 pdf by wei xu ling huang armando fox david patterson michael i jordan intel invariants mining atc 10 mining invariants from console logs for system problem detection https www usenix org legacy event atc10 tech full papers lou pdf by jian guang lou qiang fu shengqi yang ye xu jiang li microsoft clustering icse 16 log clustering based problem identification for online service systems https www microsoft com en us research wp content uploads 2016 07 icse 2016 2 log clustering based problem identification for online service systems pdf by qingwei lin hongyu zhang jian guang lou yu zhang xuewei chen microsoft deeplog coming ccs 17 deeplog anomaly detection and diagnosis from system logs through deep learning https www cs utah edu lifeifei papers deeplog pdf by min du feifei li guineng zheng vivek srikumar autoencoder coming arxiv 18 anomaly detection using autoencoders in high performance computing systems https arxiv org abs 1811 05269 by andrea borghesi andrea bartolini michele lombardi michela milano luca benini log data we have collected a set of labeled log datasets in loghub https github com logpai loghub for research purposes if you are interested in the datasets please follow the link to submit your access request install bash git clone https github com logpai loglizer git cd loglizer pip install r requirements txt api usage python load hdfs dataset if you would like to try your own log you need to rewrite the load function x train y train x test y test dataloader load hdfs feature extraction and transformation feature extractor preprocessing featureextractor feature extractor fit transform model training model pca model fit feature transform after fitting x test feature extractor transform model evaluation with labeled data model evaluate anomaly prediction x test feature extractor transform model predict predict anomalies on given data for more details please follow the demo docs demo md in the docs to get started please note that all ml models are not magic you need to figure out how to tune the parameters in order to make them work on your own data benchmarking results if you would like to reproduce the following results please run benchmarks hdfs bechmark py benchmarks hdfs bechmark py on the full hdfs dataset hdfs100k is for demo only hdfs model precision recall f1 lr 0 955 0 911 0 933 decision tree 0 998 0 998 0 998 svm 0 959 0 970 0 965 lof 0 967 0 561 0 710 one class svm 0 995 0 222 0 363 isolation forest 0 830 0 776 0 802 pca 0 975 0 635 0 769 invariants mining 0 888 0 945 0 915 clustering 1 000 0 720 0 837 contributors shilin he https shilinhe github io the chinese university of hong kong jieming zhu https jiemingzhu github io the chinese university of hong kong currently at huawei noah s ark lab pinjia he https pinjiahe github io the chinese university of hong kong currently at eth zurich feedback for any questions or feedback please post to the issue page https github com logpai loglizer issues new history may 14 2016 initial commit sep 21 2017 update code and readme mar 21 2018 rewrite most of the code and add detailed comments feb 18 2019 restructure the repository with hands on demo | log-analysis anomaly-detection failure-diagnosis machine-learning aiops | ai |
Mobile_Pokedex | p align center img src http img shields io static v1 label status message concluded color blue style flat img alt github language count src https img shields io github languages count rafa kozand mobile pokedex img alt github language count src https img shields io github languages top rafa kozand mobile pokedex img alt github repo file count src https img shields io github directory file count rafa kozand mobile pokedex img alt github repo size src https img shields io github repo size rafa kozand mobile pokedex img alt github language count src https img shields io github license rafa kozand mobile pokedex p mobile pokedex project name mobile pokedex languages kotlin softwares work tools android studio resume about the repository obs example version v 1 0 0 last update date 25 11 2022 | mobile-app mobile-development pokedex pokedex-api pokemon kotlin | front_end |
SamplePdfViewer | samplepdfviewer https cloudacademy com blog how to implement pdf viewer in your app using pdfrenderer and viewpager2 | cloud |
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iotgateway | iotgateway http online iotgateway net net6 b s plc cnc opc server opc ua server mqtt server iotsharp https github com iotsharp iotsharp thingscloud https www thingscloud xyz thingsboard https thingsboard io mes scada tesla https ts la oidq233243 https ts la oidq233243 http iotgateway net http iotgateway net docs hardware selection http iotgateway net docs enterprise intro http iotgateway net docs iotgateway beginner run release run docker http iotgateway net docs iotgateway beginner run docker run http iotgateway net docs iotgateway beginner run source run http iotgateway net docs iotgateway beginner run publish run qq 895199932 https jq qq com wv 1027 k mus0cv0w qq images wxgroup png wx images wx jpg qq images qq png plc plc modbus plc opcua opcda abplc mt fanuc cnc http iotgateway net docs iotgateway driver tcpclient set variabl images set variable png express images express png change uploa images change upload png iotsharp thingscloud thingsboard rpc rpc images rpc gif mqtt 1888 1888 mqtt websocker mqtt mes scada mqtt images mqtt png opcua opc tcp localhost 62541 quickstarts referenceserver opcua opcua images opcua png modbusslave 503 websocker variables images variables gif 3d demo 3d images 3d gif web scada images scada gif scada config images scada config png opcua opc iotgateway iotgateway mit http iotgateway net docs enterprise intro net20 gitee 2022 gvp osc 2022 3c bosch agv thingscloud https www thingscloud xyz thingscloud api iotclient https github com zhaopeiym iotclient net standard 2 0 plc bacnet star dapeng17951 ccliushou benjaminchengh sugerlcc wqliceman terryhj 8 88 amengone 50 xiaotuxing 66 20220520 28 88 20220524 mr ethan 5 20220611 50 20220712 600 20220725 10 20220725 gary 50 20220808 200 20220902 20 20220908 10 20220915 spa 50 20221119 ikuo 100 20221212 100 20230109 carrey 100 20230113 mc 400 20230114 lovechina8888 6 66 20230121 guoke 200 20230207 qq wx pay images wx pay jpg ali pay images ali pay png | iot iiot scada modbus gateway iotsharp thingsboard thingsboard-gateway s7 snap7 mc iot-gateway iotgateway netcore wtm net-core | server |
NlpSQL | nlpsql nlpsql is a question answering system that uses natural language processing to generat sql statements i used nltk http nltk org to parse the text and created a parse grammar to build the sql query the goal of the project is to create an easy way for regular to fetch data from the database even if they don t know sql language the database engin used in this project is mysql https www mysql com license nlpsql is free software released under the mit https opensource org licenses mit requirements you will need some python packages to install dependencies on a debian like gnu linux distribution git clone https github com saln3t nlpsql git cd nlpsql pip install requirements txt you will also need to download some nltk data package you can do so executing python m nltk downloader genesis maxent treebank pos tagger punkt stopwords averaged perceptron tagger you will also need mysql database you can do so if you don t have it by apt get install mysql now you would need to create the databse schema provided a good tutorial create a mysql database on linux via command line https www liquidweb com kb create a mysql database on linux via command line please make sure to name the database employees ok now we will need to papulate the data mysql u username p employee schema sql you would need to update the config file to connect to the databse by filling the data nano config py then change the following db config user username passwd password host host db employees that s it runing make sure you fulfill the requirements first to run python main py youtube demo demo https img youtube com watch v fhzz90gth4s 0 jpg https youtu be fhzz90gth4s | ai |
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nami | p align center img width 200px src src assets img bannerblack svg img p nami nami is a browser based wallet extension to interact with the cardano blockchain it s an open source project and built by berry pool https pipool online testnet download testnet version build zip extract the zip then go to chrome extensions click load unpacked at the top left and select the build folder injected api since nami is a browser extension it can inject content inside the web context which means you can connect the wallet to any website the exposed api follows cip 0030 https github com cardano foundation cips tree master cip 0030 the returned types are in cbor bytes format a helpful library for serializing and de serializing these low level data structures is the serialization lib https github com emurgo cardano serialization lib to verify a signature returned from cardano datasign address payload the message signing https github com emurgo message signing library helps basic usage detect the cardano provider window cardano and detect nami window cardano nami request the api from window cardano nami enable detect which cardano network the user is connected to id 1 mainnet id 0 testnet get the user s cardano account methods the full list of methods can be found in cip 0030 https github com cardano foundation cips tree master cip 0030 for the wallet namespace nami uses nami note nami follows the ongoing pr https github com cardano foundation cips pull 148 for the datasign endpoint very similar to the previous datasign endpoint from nami nami also uses a few custom endpoints which are available under api experimental api experimental getcollateral cardano getcollateral transactionunspentoutput api experimental on eventname callback register events coming from nami available events are accountchange addresses baseaddress void networkchange network number void api experimental off eventname callback deregister the events works also with anonymous functions injected api deprecated since nami is a browser extension it can inject content inside the web context which means you can connect the wallet to any website the exposed api follows for most parts this proposed cip https github com cardano foundation cips pull 88 the returned types are in cbor bytes format a helpful library for serializing and de serializing these low level data structures is the serialization lib https github com emurgo cardano serialization lib to verify a signature returned from cardano datasign address payload the message signing https github com emurgo message signing library helps basic usage detect the cardano provider window cardano detect which cardano network the user is connected to id 1 mainnet id 0 testnet get the user s cardano account methods all methods will return their values as promise for simplicity and easier understanding the api is explained without the promises cardano enable will ask the user to give access to requested website if access is given this function will return true otherwise throws an error if the user calls this function again with already having permission to the requested website it will simply return true cardano isenabled cardano isenabled boolean returns true if wallet has access to requested website false otherwise cardano getbalance cardano getbalance value value is a hex encoded cbor string cardano getutxos amount paginate cardano getutxos amount value paginate page number limit number transactionunspentoutput transactionunspentoutput is a hex encoded bytes string amount and paginate are optional parameters they are meant to filter the overall utxo set of a user s wallet cardano getcollateral cardano getcollateral transactionunspentoutput cardano getusedaddresses cardano getusedaddresses baseaddress baseaddress is a hex encoded bytes string note nami doesn t utilize the concept of multipe addresses per wallet this function will return an array of length 1 and will always return the same single address just to follow the standards of the proposed cip https github com cardano foundation cips pull 88 it will return the address in an array cardano getunusedaddresses cardano getunusedaddresses baseaddress note this endpoint will return an empty array same reason as above simply to follow the standards cardano getchangeaddress cardano getchangeaddress baseaddress will return the same address as the one in cardano getusedaddresses cardano getrewardaddress cardano getrewardaddress rewardaddress rewardaddress is a hex encoded bytes string note this function will return an array of length 1 and will always return the same single address cardano getnetworkid cardano getnetworkid number returns 0 if on testnet otherwise 1 if on mainnet cardano signdata address payload cardano signdata address baseaddress rewardaddress payload string cosesign1 payload is a hex encoded utf8 string cosesign1 is a hex encoded bytes string if address is the baseaddress the signature is returned with the payment credential otherwise if the address is the rewardaddress the signature is returned with the stake credential the returned cosesign1 object contains the payload signature and the following protected headers key id publickey address baseaddress rewardaddress algorithm id eddsa 0 the algorithm used for cardano addresses read more about message signing in cip 0008 https github com cardano foundation cips blob master cip 0008 cip 0008 md cardano signtx tx partialsign cardano signtx tx transaction partialsign boolean transactionwitnessset transaction is a hex encoded cbor string transactionwitnessset is a hex encoded cbor string partialsign is by default false and optional the wallet needs to provide all required signatures if it can t an error is thrown otherwise the transactionwitnessset is returned if partialsign is true the wallet doesn t need to provide all required signatures cardano submittx tx cardano submittx tx transaction hash32 returns the transaction hash if transaction was submitted successfully otherwise throws an error events cardano onaccountchange addresses cardano onaccountchange addresses baseaddress void note to follow the standards of multiple addresses the callback will return an array although nami will just return an array with a single address which is the same as the one in cardano getusedaddresses cardano onnetworkchange network cardano onnetworkchange network number void develop the project id for api requests can be created under blockfrost io https blockfrost io recommended follow this approach https github com lxieyang chrome extension boilerplate react secrets in order to keep the keys seperate from the repository the quick solution is to go under src config provider js and replace secrets project id mainnet and secrets project id testnet with the project ids from blockfrost requirements node js 14 start development server npm start create production build npm run build run tests npm test additional wasm packages src wasm commit hash 9986d0532334c465bbe4aa00234968edb43575d6 https github com spacebudz lucid website visit namiwallet io https namiwallet io br visit berry pool https pipool online | wallet cardano javascript extension | blockchain |
simpleiot | img src docs images simple iot logo png raw true width 150 go reference https pkg go dev badge github com simpleiot simpleiot svg https pkg go dev github com simpleiot simpleiot go https github com simpleiot simpleiot workflows go badge svg branch master code stats https tokei rs b1 github simpleiot simpleiot category code go report card https goreportcard com badge github com simpleiot simpleiot https goreportcard com report github com simpleiot simpleiot slack widget https img shields io badge join us 20on 20slack gray svg longcache true logo slack colorb red http gophers slack com messages simpleiot simple iot is a platform that enables you to add remote sensor data telemetry configuration and device management to your project or product implementing iot systems is hard most projects take way longer and cost more than they should the fundamental problem is getting data from remote locations edge to a place where users can access it cloud we also need to update data and configuration at the edge in real time from any location simple iot is an attempt to solve these problems by embracing the fact that iot systems are inherently distributed and building on simple concepts that scale simple iot provides a single application with no dependencies that can be run in both cloud and edge instances efficient synchronization of data in both directions a powerful ui to view configuration and current values a rules engine that runs on all instances that can trigger notifications or set data extensive support for modbus both server and client support for the linux 1 wire subsystem flexible graph organization of instances users groups rules and configuration integration with other services like influxdb and twilio a system that is easy to extend in any language using nats a number of useful go packages to use in your custom application see vision docs ref vision md architecture docs ref architecture md and integration docs ref integration md for addition discussion on these points see detailed documentation https docs simpleiot org for installation usage and development information motivation this project was developed while building real world iot applications and has been driven by the following requirements data state or configuration can be changed anywhere at edge devices or in the cloud and this data needs to be synchronized seamlessly between instances sensors users rules etc can all change data some edge systems have a local display where users can modify the configuration locally as well as in the cloud rules can also run in the cloud or on edge devices and modify data data bandwidth is limited in some iot systems especially those connected with cat m modems 100kb s additionally connectivity is not always reliable and systems need to continue operating if not connected core ideas the process of developing simple iot has been a path of reducing what started as a fairly complex iot system to simpler ideas this is what we discovered along the way 1 treat configuration and state data the same for purposes of storage and synchronization 2 represent this data using simple types nodes and points 3 organize this data in a graph 4 all data flows through a message bus 5 run the same application in the cloud and at the edge 6 automatically sync common data between instances design is the beauty of turning constraints into advantages https www webstock org nz talks design is the beauty of turning constraints into advantages ava raskin these constraints have resulted in simple iot becoming a flexible distributed graph database optimized for iot datasets we ll explore these ideas more in the documentation https docs simpleiot org support community contributing etc pull requests are welcome see development docs ref development md for more thoughts on architecture tooling etc issues are labelled with help wanted and good first issue if you would like to contribute to this project for support or to discuss this project use one of the following options documentation https docs simpleiot org simple iot community forum https community tmpdir org c simple iot 5 simpleiot slack channel is available on gophers slack com https gophers slack com messages simpleiot open a github issue simple iot youtube channel https www youtube com simple iot subscribe to our email newsletter https tinyletter com tmpdir for project updates license apache version 2 0 contributors thanks to contributors a href https github com simpleiot simpleiot graphs contributors img src https contrib rocks image repo simpleiot simpleiot a made with contrib rocks https contrib rocks | iot elm backend go edge edge-computing iot-platform | server |
AElf | aelf a decentralized cloud computing blockchain network github closed issues https img shields io github issues closed aelfproject aelf svg https app gitkraken com glo board xksozjarbgapseno lisence https img shields io github license aelfproject aelf svg https github com aelfproject aelf blob dev license nuget https img shields io nuget v aelf os svg https www nuget org packages q aelf myget with prereleases https img shields io myget aelf project dev vpre aelf os svg label myget https www myget org gallery aelf project dev twitter follow https img shields io twitter follow aelfblockchain svg label 40aelfblockchain style social https twitter com aelfblockchain telegram https badgen net badge telegram join blue icon telegram https t me aelfdeveloper branch azure pipelines tests code coverage master build status https dev azure com aelfproject aelf apis build status aelfproject aelf branchname master https dev azure com aelfproject aelf build latest definitionid 1 branchname master test status https img shields io azure devops tests aelfproject aelf 1 master https dev azure com aelfproject aelf build latest definitionid 1 branchname master codecov https codecov io gh aelfproject aelf branch master graph badge svg https codecov io gh aelfproject aelf dev build status https dev azure com aelfproject aelf apis build status aelfproject aelf branchname dev https dev azure com aelfproject aelf build latest definitionid 1 branchname dev test status https img shields io azure devops tests aelfproject aelf 1 dev https dev azure com aelfproject aelf build latest definitionid 1 branchname dev codecov https codecov io gh aelfproject aelf branch dev graph badge svg https codecov io gh aelfproject aelf welcome to aelf s official github repo aelf is a blockchain system aiming to achieve scalability and extensibility through the use of side chains and a flexible design to support multiple use cases aelf makes it as easy as possible to extend customize the system by providing easy to use tools and frameworks in order to customize the chains and write smart contracts aelf will eventually support various languages that will let developers choose the one they are the most comfortable with for more information you can follow these links official website https aelf io documentation https docs aelf io en latest environment setup https docs aelf io en latest getting started development environment index html running a node https docs aelf io en latest getting started development environment node html smart contract development https docs aelf io en latest getting started smart contracts index html web api https docs aelf io en latest reference web api web api html testnet https docs aelf io en latest tutorials testnet html white paper https aelf com gridcn aelf whitepaper v1 7 en pdf this repository contains the code that runs an aelf node you ll find bellow other important repositories in the aelf ecosystem tool library description aelf sdk js https docs aelf io en latest reference chain sdk javascript js sdk html javascript development kit for interacting with an aelf node useful for dapp developers aelf command https docs aelf io en latest reference cli methods html cli tool for interacting with an aelf node and wallet aelf boilerplate https aelf boilerplate docs readthedocs io en latest framework for smart contract and dapp development getting started this repository this repo is where you will find the code that can use to run an aelf node it also contains a tests folder that centralizes all the unit tests documentation we strongly recommend you follow official documentation that will guide you through installing dependencies and running the node these two guides will get you started environment setup https docs aelf io en latest getting started development environment index html running a node https docs aelf io en latest getting started development environment node html contributing if you have a reasonable understanding of blockchain technology and at least some notions of c you can of course contribute we also appreciate other types of contributions such as documentation improvements or even correcting typos in the code if you spot any we expect every contributor to be respectful and constructive so that everyone has a positive experience you can find out more in our code of conduct https github com aelfproject aelf blob dev code of conduct md reporting an issue we currently only use github for tracking issues feature request and pull requests if you re not familiar with these tools have a look at the github https help github com en documentation bug report if you think you have found a bug in our system feel free to open a github issue but first check with github s search engine that the bug doesn t already exist in the request give as much information as possible such as the os the version of aelf how to reproduce missing feature we also use the github issue tracker for features if you think that some piece of functionality is missing in aelf you can open an issue with the following in mind check for similare feature requests already open provide as much detail and context as possible be as convincing as possible as to why we need this feature and how everybody can benefit from it pull request for any non trivial modification of the code the pull requests should be associated with an issue that was previously discussed during the time you implement and are not yet ready for review prefix the pr s title with wip and also don t forget to do the following add a description in the pull request saying which issue you are fixing implementing be as explicit as possible about the changes in the description add the tests corresponding to your modifications pull requests should be made against the dev branch when you are ready for a review by the core team just remove wip from your pr s title and others will review this will either lead to a discussion or to a refactor of the code the azure pipelines ci system makes sure that every pull request is built for windows linux and macos and that unit tests are run automatically the ci passing is a pre condition for the pr to be merged as well as the approval from the core team versioning we use semantic versioning semver for versioning if you re intereted in closely following aelf s developement please check out the semver docs https semver org license aelf is licenced under mit https github com aelfproject aelf blob dev license | blockchain scalability csharp dotnet-core clusters multi-chain | blockchain |
rait | rait a href https rait vercel app h3 development website h3 a a href https people iitism ac in rait h3 production website h3 a website for recent advances in information technology rait rait is a premier conference that encompasses different topics in information technology | nextjs react tailwindcss typescript firebase | server |
metamask-extension | metamask browser extension you can find the latest version of metamask on our official website https metamask io for help using metamask visit our user support site https metamask zendesk com hc en us for general questions https community metamask io c learn 26 feature requests https community metamask io c feature requests ideas 13 or developer questions https community metamask io c developer questions 11 visit our community forum https community metamask io metamask supports firefox google chrome and chromium based browsers we recommend using the latest available browser version for up to the minute news follow our twitter https twitter com metamask or medium https medium com metamask pages to learn how to develop metamask compatible applications visit our developer docs https metamask github io metamask docs to learn how to contribute to the metamask project itself visit our internal docs https github com metamask metamask extension tree develop docs building locally install node js https nodejs org version 18 if you are using nvm https github com nvm sh nvm installing and updating recommended running nvm use will automatically choose the right node version for you enable corepack by executing the command corepack enable within the metamask extension project corepack is a utility included with node js by default it manages yarn on a per project basis using the version specified by the packagemanager property in the project s package json file please note that modern releases of yarn https yarnpkg com getting started install are not intended to be installed globally or via npm duplicate metamaskrc dist within the root and rename it to metamaskrc by running cp metamaskrc dist replace the infura project id value with your own personal infura api key https docs infura io networks ethereum how to secure a project project id if you don t have an infura account you can create one for free on the infura website https app infura io register if debugging metametrics you ll need to add a value for segment write key segment write key https segment com docs connections find writekey see developing on metamask segment development readme md segment if debugging unhandled exceptions you ll need to add a value for sentry dsn sentry dsn https docs sentry io product sentry basics dsn explainer see developing on metamask sentry development readme md sentry optionally replace the password value with your development wallet password to avoid entering it each time you open the app run yarn install to install the dependencies build the project to the dist folder with yarn dist optionally you may run yarn start to run dev mode uncompressed builds can be found in dist compressed builds can be found in builds once they re built see the build system readme development build readme md for build system usage information follow these instructions to verify that your local build runs correctly how to add custom build to chrome docs add to chrome md how to add custom build to firefox docs add to firefox md git hooks to get quick feedback from our shared code quality fitness functions before committing the code you can install our git hooks with husky yarn githooks install you can read more about them in our testing documentation docs testing md fitness functions measuring progress in code quality and preventing regressions using custom git hooks if you are using vs code and are unable to make commits from the source control sidebar due to a command not found error try these steps from the husky docs https typicode github io husky troubleshooting html command not found contributing development builds to start a development build e g with logging and file watching run yarn start react and redux devtools to start the react devtools https github com facebook react devtools run yarn devtools react with a development build installed in a browser this will open in a separate window no browser extension is required to start the redux devtools extension https github com reduxjs redux devtools tree main extension install the package remotedev server globally e g yarn global add remotedev server install the redux devtools extension open the redux devtools extension and check the use custom local server checkbox in the remote devtools settings using the default server configuration host localhost port 8000 secure connection checkbox unchecked then run the command yarn devtools redux with a development build installed in a browser this will enable you to use the redux devtools extension to inspect metamask to create a development build and run both of these tools simultaneously run yarn start dev test dapp this test site https metamask github io test dapp can be used to execute different user flows running unit tests and linting run unit tests and the linter with yarn test to run just unit tests run yarn test unit you can run the linter by itself with yarn lint and you can automatically fix some lint problems with yarn lint fix you can also run these two commands just on your local changes to save time with yarn lint changed and yarn lint changed fix respectively for jest debugging guide using node js see docs tests jest md docs tests jest md running e2e tests our e2e test suite can be run on either firefox or chrome 1 required yarn build test to create a test build 2 run tests targetting the browser firefox e2e tests can be run with yarn test e2e firefox chrome e2e tests can be run with yarn test e2e chrome the chromedriver package major version must match the major version of your local chrome installation if they don t match update whichever is behind before running chrome e2e tests these test scripts all support additional options which might be helpful for debugging run the script with the flag help to see all options running a single e2e test single e2e tests can be run with yarn test e2e single test e2e tests test name spec js along with the options below console browser set the browser used either chrome or firefox string choices chrome firefox debug run tests in debug mode logging each driver interaction boolean default false retries set how many times the test should be retried upon failure number default 0 leave running leaves the browser running after a test fails along with anything else that the test used ganache the test dapp etc boolean default false update snapshot update e2e test snapshots alias u boolean default false for example to run the account details tests using chrome with debug logging and with the browser set to remain open upon failure you would use yarn test e2e single test e2e tests account details spec js browser chrome debug leave running running specific builds types e2e test differnt build types have different e2e tests sets in order to run them look in the packaje json file you will find console test e2e chrome mmi selenium browser chrome node test e2e run all js mmi test e2e chrome snaps selenium browser chrome node test e2e run all js snaps test e2e chrome mv3 enable mv3 true selenium browser chrome node test e2e run all js note mmi runs a subset of metamask s e2e tests to facilitate this we have appended the no mmi tags to the names of those tests that are not applicable to this build type changing dependencies whenever you change dependencies adding removing or updating either in package json or yarn lock there are various files that must be kept up to date yarn lock run yarn again after your changes to ensure yarn lock has been properly updated run yarn lint lockfile dedupe fix to remove duplicate dependencies from the lockfile the allow scripts configuration in package json run yarn allow scripts auto to update the allow scripts configuration automatically this config determines whether the package s install postinstall scripts are allowed to run review each new package to determine whether the install script needs to run or not testing if necessary unfortunately yarn allow scripts auto will behave inconsistently on different platforms macos and windows users may see extraneous changes relating to optional dependencies the lavamoat policy files if you are a metamask team member and your pr is on a repository branch you can use the bot command metamaskbot update policies to ask the metamask bot to automatically update the policies for you if your pr is from a fork you can ask a metamask team member to help with updating the policy files manual update instructions the tl dr is to run yarn lavamoat auto to update these files but there can be devils in the details there are two sets of lavamoat policy files the production lavamoat policy files lavamoat browserify policy json which are re generated using yarn lavamoat background auto add help for usage these should be regenerated whenever the production dependencies for the background change the build system lavamoat policy file lavamoat build system policy json which is re generated using yarn lavamoat build auto this should be regenerated whenever the dependencies used by the build system itself change whenever you regenerate a policy file review the changes to determine whether the access granted to each package seems appropriate unfortunately yarn lavamoat auto will behave inconsistently on different platforms macos and windows users may see extraneous changes relating to optional dependencies if you keep getting policy failures even after regenerating the policy files try regenerating the policies after a clean install by doing rm rf node modules yarn yarn lavamoat auto keep in mind that any kind of dynamic import or dynamic use of globals may elude lavamoat s static analysis refer to the lavamoat documentation or ask for help if you run into any issues architecture visual of the controller hierarchy and dependencies as of summer 2022 https gist github com rekmarks 8dba6306695dcd44967cce4b6a94ae33 visual of the entire codebase https mango dune 07a8b7110 1 azurestaticapps net repo metamask 2fmetamask extension architecture diagram docs architecture png 1 other docs how to add a new translation to metamask docs translating guide md publishing guide docs publishing md how to use the trezor emulator docs trezor emulator md developing on metamask development readme md how to generate a visualization of this repository s development development gource viz sh how to add new confirmations docs confirmations md dapp developer resources extend metamask s features w metamask snaps https docs metamask io snaps prompt your users to add and switch to a new network https docs metamask io wallet how to add network change the logo that appears when your dapp connects to metamask https docs metamask io wallet how to display icon 1 http www nomnoml com view 5b 3cactor 3euser 5d 0a 0a 5bmetamask ui 7c 0a 20 20 20 5btools 7c 0a 20 20 20 20 20react 0a 20 20 20 20 20redux 0a 20 20 20 20 20thunk 0a 20 20 20 20 20ethutils 0a 20 20 20 20 20jazzicon 0a 20 20 20 5d 0a 20 20 20 5bcomponents 7c 0a 20 20 20 20 20app 0a 20 20 20 20 20account detail 0a 20 20 20 20 20accounts 0a 20 20 20 20 20locked screen 0a 20 20 20 20 20restore vault 0a 20 20 20 20 20identicon 0a 20 20 20 20 20config 0a 20 20 20 20 20info 0a 20 20 20 5d 0a 20 20 20 5breducers 7c 0a 20 20 20 20 20app 0a 20 20 20 20 20metamask 0a 20 20 20 20 20identities 0a 20 20 20 5d 0a 20 20 20 5bactions 7c 0a 20 20 20 20 20 5bbackgroundconnection 5d 0a 20 20 20 5d 0a 20 20 20 5bcomponents 5d 3a 3e 5bactions 5d 0a 20 20 20 5bactions 5d 3a 3e 5breducers 5d 0a 20 20 20 5breducers 5d 3a 3e 5bcomponents 5d 0a 5d 0a 0a 5bweb 20dapp 7c 0a 20 20 5bui 20code 5d 0a 20 20 5bweb3 5d 0a 20 20 5bmetamask inpage 5d 0a 20 20 0a 20 20 5b 3cactor 3eui 20developer 5d 0a 20 20 5bui 20developer 5d 3e 5bui 20code 5d 0a 20 20 5bui 20code 5d 3c 3e 5bweb3 5d 0a 20 20 5bweb3 5d 3c 3e 5bmetamask inpage 5d 0a 5d 0a 0a 5bmetamask background 7c 0a 20 20 5bprovider engine 5d 0a 20 20 5bhooked 20wallet 20subprovider 5d 0a 20 20 5bid 20store 5d 0a 20 20 0a 20 20 5bprovider engine 5d 3c 3e 5bhooked 20wallet 20subprovider 5d 0a 20 20 5bhooked 20wallet 20subprovider 5d 3c 3e 5bid 20store 5d 0a 20 20 5bconfig 20manager 7c 0a 20 20 20 20 5brpc 20configuration 5d 0a 20 20 20 20 5bencrypted 20keys 5d 0a 20 20 20 20 5bwallet 20nicknames 5d 0a 20 20 5d 0a 20 20 0a 20 20 5bprovider engine 5d 3c 5bconfig 20manager 5d 0a 20 20 5bid 20store 5d 3c 3e 5bconfig 20manager 5d 0a 5d 0a 0a 5buser 5d 3c 3e 5bmetamask ui 5d 0a 0a 5buser 5d 3c 3a 3a 3e 5bweb 20dapp 5d 0a 0a 5bmetamask contentscript 7c 0a 20 20 5bplugin 20restart 20detector 5d 0a 20 20 5brpc 20passthrough 5d 0a 5d 0a 0a 5brpc 20 7c 0a 20 20 5bethereum 20blockchain 20 7c 0a 20 20 20 20 5bcontracts 5d 0a 20 20 20 20 5baccounts 5d 0a 20 20 5d 0a 5d 0a 0a 5bweb 20dapp 5d 3c 3a 3a 3e 5bmetamask contentscript 5d 0a 5bmetamask contentscript 5d 3c 3e 5bmetamask background 5d 0a 5bmetamask background 5d 3c 3e 5bmetamask ui 5d 0a 5bmetamask background 5d 3c 3e 5brpc 5d 0a | chrome extension ethereum firefox dapp dapp-developers opera 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md b h4 h4 b 1 https charmve github io computer vision in action chapter2 chapter2 1 1 1 chapter1 neural networks chapter1 1 line regression md 1 1 1 1 1 2 1 1 3 1 2 softmax docs 1 chapter3 image classification chapter1 2 softmax md 1 2 1 softmax 1 2 2 softmax 1 2 3 softmax 1 3 docs 1 chapter1 neural networks chapter1 3 mlp md 1 3 1 1 3 2 1 3 3 1 4 docs 1 chapter1 neural networks chapter1 4 back propagation md 1 5 docs 1 chapter1 neural networks chapter1 5 neural networks md 1 5 1 docs 1 chapter1 neural networks chapter1 5 1 md 1 5 2 1 https cs231n github io neural networks 1 1 5 3 2 https cs231n github io neural networks 2 1 5 4 3 https cs231n github io neural networks 3 1 5 5 https cs231n github io neural networks case study 1 6 1 https blog csdn net charmve article details 108531735 2 docs 1 chapter2 cnn chapter2 cnn md 2 1 docs 1 chapter2 cnn chapter2 cnn md 21 2 1 1 docs 1 chapter2 cnn chapter2 cnn md 211 2 1 2 docs 1 chapter2 cnn chapter2 cnn md 212 2 2 docs 1 chapter2 cnn 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arxiv org pdf 1803 08035 pdf 5 notebooks 5 1 notebooks 5 2 notebooks 5 3 notebooks 5 4 notebooks 5 5 notebooks 6 notebooks chapter07 optimization 6 1 notebooks chapter07 optimization 7 1 optimization intro ipynb 6 2 notebooks chapter07 optimization 7 2 gd sgd ipynb 6 3 notebooks chapter07 optimization 7 3 minibatch sgd ipynb 6 4 notebooks chapter07 optimization 7 4 momentum ipynb 6 5 adagrad notebooks chapter07 optimization 7 5 adagrad ipynb 6 6 rmsprop notebooks chapter07 optimization 7 6 rmsprop ipynb 6 7 adadelta notebooks chapter07 optimization 7 7 adadelta ipynb 6 8 adam notebooks chapter07 optimization 7 8 adam ipynb b h4 h4 b 6 https charmve github io computer vision in action chapter6 chapter6 6 1 docs 2 chapter6 chapter6 1 md 6 2 pytorch docs 2 chapter6 chapter6 2 pytorch md 6 2 1 tensors docs 2 chapter6 chapter6 2 pytorch md 621 tensors 6 2 2 operations docs 2 chapter6 chapter6 2 pytorch md 622 operations 6 2 3 numpy docs 2 chapter6 chapter6 2 pytorch md 623 numpy 6 2 4 cuda tensors docs 2 chapter6 chapter6 2 pytorch md 624 cuda tensors 6 3 python notebooks chapter08 environment setup and tool use 02 python ipynb 6 4 numpy notebooks chapter08 environment setup and tool use 03 numpy ipynb 6 5 pandas notebooks chapter08 environment setup and tool use 04 pandas ipynb 6 6 opencv notebooks chapter08 environment setup and tool use opencv imagestitching ipynb 6 7 jupyter notebook notebooks chapter08 environment setup and tool use 01 notebooks ipynb 6 8 docs 2 chapter6 chapter6 8 md 6 8 1 pil python docs 2 chapter6 chapter6 8 md 781 pil python 6 8 2 matplotlib docs 2 chapter6 chapter6 8 md 782 matplotlib 6 8 3 numpy docs 2 chapter6 chapter6 8 md 783 numpy 6 8 4 scipy docs 2 chapter6 chapter6 8 md 784 scipy 6 8 5 docs 2 chapter6 chapter6 8 md 785 6 9 5 opencv https blog csdn net charmve article details 107897468 7 pytorch https github com charmve semantic segmentation pytorch 7 1 lenet docs 2 chapter7 pytorch 7 1 20 lenet md 7 2 alexnet docs 2 chapter7 pytorch 7 2 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chapter8 3 md 8 4 6 kaggle cifar 10 docs 2 chapter7 pytorch 7 12 20 kaggle cifar 10 md 8 5 7 kaggle imagenet dogs docs 2 chapter7 pytorch 7 13 20 kaggle imagenet 20dogs md 9 https charmve github io computer vision in action chapter9 chapter9 9 1 9 1 1 pytorch https github com charmve semantic segmentation pytorch 9 1 2 8 polarnet 9 2 9 2 1 9 2 2 9 pytorch yolo5 9 3 docs 2 chapter9 9 3 20 md 9 3 1 docs 2 chapter9 9 3 20 md 931 9 3 2 10 docs 2 chapter9 9 3 20 md 932 8 9 3 3 https blog csdn net charmve article details 108915225 pointrend https blog csdn net charmve article details 108892076 polarmask https github com xieenze polarmask 10 https charmve github io computer vision in action chapter10 chapter10 10 1 https blog csdn net charmve article details 108531735 10 2 https github com charmve scene text detection 10 3 https github com charmve awesome lane detection 10 3 1 https github com charmve awesome lane detection 10 3 2 11 https blog csdn net charmve article details 116678477 10 4 https github com charmve mirror glass detection 10 5 matting docs 2 chapter10 charpter10 5 md 10 6 docs 2 chapter10 charpter10 6 md 10 7 3d docs 2 chapter10 charpter10 7 3d md b h4 h4 b 11 docs 3 chapter11 11 1 11 2 11 3 11 4 embeddings https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter13 understanding and visualizing embeddings ipynb 11 5 11 6 deepdream docs 3 chapter12 chapter12 3 3 neural style md 11 7 12 pytorch tensorboard docs 3 chapter11 chapter11 md 11 4 1 tensorboard docs 3 chapter11 chapter11 md 1141 tensorboard 11 4 2 tensorboard docs 3 chapter11 chapter11 md 1142 tensorboard 11 4 3 tensorboard docs 3 chapter11 chapter11 md 1143 tensorboard 11 4 4 tensorboard projector docs 3 chapter11 chapter11 md 1144 tensorboard projector 11 4 5 tensorboard docs 3 chapter11 chapter11 md 1145 tensorboard 11 4 6 tensorboard docs 3 chapter11 chapter11 md 1146 tensorboard 11 4 7 docs 3 chapter11 chapter11 md 12 https charmve github io computer vision in action chapter6 chapter6 12 1 pixel rnn cnn 12 2 auto encoder docs 3 chapter12 chapter12 2 auto encoder md 12 3 gan docs 3 chapter12 chapter12 3 gan md 12 3 1 docs 3 chapter12 chapter12 3 gan md 1231 12 3 2 gan docs 3 chapter12 chapter12 3 gan md 1232 gan 12 3 3 gan docs 3 chapter12 chapter12 3 gan md 1233 gan 12 3 3 1 gan docs 3 chapter12 chapter12 3 gan md 12331 gan 12 3 3 2 gan docs 3 chapter12 chapter12 3 gan md 12332 gan docs 3 chapter12 chapter12 3 gan md docs 3 chapter12 chapter12 3 gan md docs 3 chapter12 chapter12 3 gan md 12 3 4 docs 3 chapter12 chapter12 3 gan md 1234 12 3 5 stylegan stylegan https github com charmve vogue try on stylegan 2 0 https blog csdn net charmve article details 115315353 12 3 6 11 docs 3 chapter12 chapter12 3 3 neural style md docs 3 chapter12 chapter12 3 gan md docs 3 chapter12 chapter12 3 gan md 12 4 variational auto encoder vae docs 3 chapter12 chapter12 4 vae md 12 4 1 docs 3 chapter12 chapter12 4 vae md 1241 12 4 2 docs 3 chapter12 chapter12 4 vae md 1242 12 4 2 1 docs 3 chapter12 chapter12 4 vae md 1 12 4 2 2 docs 3 chapter12 chapter12 4 vae md 2 12 4 2 3 docs 3 chapter12 chapter12 4 vae md 3 12 4 3 vae v s ae docs 3 chapter12 chapter12 4 vae md 1243 vae vs ae 12 4 4 docs 3 chapter12 chapter12 4 vae md 1244 12 4 5 docs 3 chapter12 chapter12 4 vae md 1245 12 4 6 13 https github com microsoft bringing old photos back to life docs 3 chapter12 chapter12 4 vae md 13 docs 3 chapter13 chapter13 md 13 1 docs 3 chapter13 chapter13 md 141 13 2 docs 3 chapter13 chapter13 md 142 13 2 1 docs 3 chapter13 chapter13 md 1421 13 2 2 docs 3 chapter13 chapter13 md 1422 13 2 3 docs 3 chapter13 chapter13 md 1423 13 3 docs 3 chapter13 chapter13 md 143 13 3 1 policy based drl docs 3 chapter13 chapter13 md 1431 policy based drl 13 3 2 value based drl docs 3 chapter13 chapter13 md 1432 value based drl 13 3 3 model based drl docs 3 chapter13 chapter13 md 1433 model based drl 13 4 144 docs 3 chapter13 chapter13 md docs 3 chapter13 chapter13 md 14 docs 3 chapter14 chapter14 md 14 1 docs 3 chapter14 chapter14 md 141 14 2 docs 3 chapter14 chapter14 md 142 14 3 docs 3 chapter14 chapter14 md 143 14 4 docs 3 chapter14 chapter14 md 144 14 5 metrics docs 3 chapter14 chapter14 md 145 metrics 14 6 docs 3 chapter14 chapter14 md 146 docs 3 chapter14 chapter14 md docs 3 chapter14 chapter14 md 15 docs 3 chapter15 15 1 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 151 15 1 1 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 1511 15 1 2 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 1512 15 1 3 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 1513 15 2 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 152 15 3 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 153 15 4 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 154 15 5 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 155 15 7 14 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 15 7 1 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 1571 15 7 2 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 1572 16 attention is all you need notebooks chapter16 attention 1 attention ipynb 16 1 16 2 attention with rnns 16 3 self attention https mp weixin qq com s nud7ytcci1 awq4nowk9ba 16 4 soft attention 16 4 1 16 4 2 16 4 3 positional encoding 16 4 4 16 4 5 masked attention 16 4 6 multi head attention 16 5 hard attention 16 6 attention docs 3 chapter16 20attention 20is 20all 20you 20need chapter16 attention is all you need md 17 transformer docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 17 1 docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md e4 b8 80 e6 80 9d e6 83 b3 e5 92 8c e6 a1 86 e5 9b be 17 2 docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 17 2 1 encoder docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 2 1 encoder 17 2 2 decoder docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 2 2 decoder 17 2 3 self attention docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 2 3 self attention 17 2 4 multi headed attention docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 2 4 multi headed attention 17 2 5 positional encoding docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 2 5 positional encoding 17 3 docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 17 3 1 nlp docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 3 1 nlp 17 3 2 cv docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 3 2 cv 17 3 2 1 detr docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 3 2 1 detr 17 3 2 2 vit docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 3 2 2 vit 17 3 2 3 setr https github com charmve computer vision in action blob main docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 3 2 3 setr 17 3 2 4 deformable detr https github com charmve computer vision in action blob main docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 3 2 4 deformable detr 17 4 docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 17 5 docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 15 transformer vistr cvpr2021 https blog csdn net charmve article details 115339803 docs 3 e8 bf 9b e9 98 b6 e7 af 87 chapter17 e8 b7 a8 e7 95 8c e6 a8 a1 e5 9e 8b 20transformer chapter17 transformer md 18 https mp weixin qq com s e3c rs2rncmwhbm cu5ra 18 1 18 2 kd 18 2 1 logits response based knowledge 18 2 2 feature based knowledge 18 2 3 relation based knowledge 18 3 nlp bert 18 4 16 cvpr https mp weixin qq com s rtkbqj7uj86wxt7hmwwkza 19 normalization https blog csdn net charmve article details 107650487 19 1 mini batch sgd 19 2 normalization 19 3 batch normalization 19 3 1 bn 19 3 2 cnn bn 19 3 3 batch norm 19 4 layer normalization instance normalization group normalization 19 4 1 layer normalization 19 4 2 instance normalization 19 4 3 group normalization 19 4 4 19 5 normalization re scaling 19 6 batch normalization 20 https mp weixin qq com s e3c rs2rncmwhbm cu5ra 20 1 20 2 20 2 1 1990 2014 20 2 2 1989 2014 20 2 3 2016 20 2 4 20 2 5 2014 20 3 20 3 1 op level 20 3 2 layer0 level 20 3 3 cpu gpu npu asic fpga pim ndp 20 4 20 4 1 tensorrt nvidia 20 4 2 tvm tensor virtual machine 20 4 3 tensor comprehension facebook 20 4 4 distiller intel b h4 h4 b a b https mp weixin qq com s biz mzixmjg1njc3mw mid 2247484495 idx 1 sn 0bbb2094d93169baf20eedb284bc668f c https blog csdn net charmve article details 106089198 d https blog csdn net charmve article details 107650479 b h4 docs book postscript md h4 b b h4 1 h4 b br b b br tr td table details index code docs code sup 1 sup code code code sup 2 sup colab code notebooks code sup 3 sup code l0cv code l0cv code code code code datasets code code images code code docs code code 0 code code 1 code code 2 code code 3 code cv code code code img code code models code code notebooks code colab notebook a href https mybinder org v2 gh charmve computer vision in action main notebooks img src https mybinder org badge logo svg alt binder a code chapter01 neural networks code 1 jupyter notebook code chapter02 cnn code 2 jupyter notebook code chapter03 image classification code 3 jupyter notebook code chapter04 recurrent neural networks code 4 jupyter notebook code chapter05 graph neural network code 5 jupyter notebook code chapter07 optimization code 6 jupyter notebook code chapter08 environment setup and tool use code 7 jupyter notebook code chapter09 convolutional neural networks code 8 pytorch jupyter notebook code chapter12 practice projects code 12 jupyter notebook code chapter13 understanding and visualizing code 13 jupyter notebook code chapter14 gan code 14 jupyter notebook code chapter15 transfer learning code 15 jupyter notebook a href https github com charmve computer vision in action img align right alt go for it src https raw githubusercontent com charmve computer vision in action dd292873828228a753a9bd2de4576dbf8cc3902c res ui footer rocket svg height 260 title do what you like and do it best a code chapter16 attention code 16 jupyter notebook code chapter17 transformers code 17 transformers jupyter notebook code imgs code jupyter notebook code docker code code res code ui pdf code readme md code index l0cv demoday p align center img src res ui demoday png title l0cv demo day a href https github com charmve computer vision in action tree main l0cv universe l0cv universe a p a href https github com charmve computer vision in action target blank img src https img shields io badge 20l0cv lightgreen svg alt l0cv title l0cv a h5 align center i i h5 table class table table striped table bordered table vcenter tbody class ai notebooks table content tr td div class mdl cell mdl cell 4 col a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter02 cnn pytorch mnist ipynb target blank img width 40 src https user images githubusercontent com 29084184 128386334 e0273125 5d51 4e33 a6e7 f2e732fb0836 png a div td td div class mdl cell mdl cell 4 col a href https github com charmve computer vision in action blob main docs 2 chapter7 pytorch 7 12 20 kaggle cifar 10 md target blank img width 40 src https user images githubusercontent com 29084184 128386363 dc0c987c b374 4e43 9e56 65c30f7a1899 png a div td td div class mdl cell mdl cell 4 col a href https github com charmve computer vision in action blob main docs 2 chapter7 pytorch 7 13 20 kaggle imagenet 20dogs md target blank img width 40 src https user images githubusercontent com 29084184 128386468 ca555572 a98d 44c5 bdef 442371322ee7 png a div td tr tr td div class mdl cell mdl cell 4 col a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter12 practice projects bringing old photo back to life ipynb target blank img width 40 src https user images githubusercontent com 29084184 128386504 25a9f798 be68 430d b771 bd8db607c151 png a div td td div class mdl cell mdl cell 4 col a href https github com charmve awesome lane detection tree main lane detector target blank img width 40 src https user images githubusercontent com 29084184 128386530 d64210f0 d903 4004 9f6c eb480d326241 png a div td td div class mdl cell mdl cell 4 col a href https github com charmve computer vision in action blob main docs 3 chapter12 chapter12 3 3 neural style md target blank img width 40 src https user images githubusercontent com 29084184 128386405 4223b171 a318 4f76 93b3 0fff016aa39f png a div td tr tbody table v1 2 br p align left a href https github com charmve computer vision in action img src res ui workswith1 png title works with l0cv width 120 a p binder google colab 1 https blog csdn net charmve article details 108531735 1 2 docs 1 chapter2 cnn chapter2 cnn in action md 2 3 https blog csdn net charmve category 9754344 html 3 4 cifar10 http mp weixin qq com s biz mzixmjg1njc3mw 3d 3d chksm 97bef597a0c97c813e185e1bbf987b93d496c6ead8371364fd175d9bac46e6dcf7059cf81cb2 idx 1 mid 2247487293 scene 21 sn 89684d1c107177983dc1b4dca8c20a5b wechat redirect 3 5 opencv https blog csdn net charmve article details 107897468 6 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter08 environment setup and tool use opencv imagestitching ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter08 environment setup and tool use opencv imagestitching ipynb img src https colab research google com assets colab badge svg a 6 kaggle cifar 10 docs 2 chapter7 pytorch 7 12 20 kaggle cifar 10 md 8 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter10 dataset and benchmark kaggle cifar10 ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter10 dataset and benchmark kaggle cifar10 ipynb img src https colab research google com assets colab badge svg a 7 kaggle imagenet dogs docs 2 chapter7 pytorch 7 13 20 kaggle imagenet 20dogs md 8 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter10 dataset and benchmark kaggle dog ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter10 dataset and benchmark kaggle dog ipynb img src https colab research google com assets colab badge svg a 8 polarnet 9 9 pytorch yolo5 9 10 docs 2 chapter9 9 3 20 md 932 8 9 11 https blog csdn net charmve article details 116678477 10 12 pytorch tensorboard docs 3 chapter11 chapter11 md 13 13 14 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https colab research google com assets colab badge svg a 14 https github com microsoft bringing old photos back to life 14 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter12 practice projects bringing old photo back to life ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https colab research google com assets colab badge svg a 15 https github com microsoft bringing old photos back to life 14 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter12 practice projects anime stylegan2 ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https colab research google com assets colab badge svg a 16 slowfast multi moments in time https charmve github io computer vision in action 3 chapter14 chapter14 id 147 16 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter12 practice projects bringing old photo back to life ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https colab research google com assets colab badge svg a 17 https github com charmve computer vision in action tree main docs 3 chapter15 chapter15 md 17 a href https nbviewer jupyter org format slides github charmve computer vision in action blob main notebooks chapter15 transfer learning tl ants bees classification ipynb img src https mybinder org badge logo svg alt binder a a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https colab research google com assets colab badge svg a 18 transformer vistr cvpr2021 https blog csdn net charmve article details 115339803 19 transformer 19 cvpr https mp weixin qq com s rtkbqj7uj86wxt7hmwwkza 20 br index details summary summary jupyter notebook 1 pip3 install r requirements txt jupyter python3 m pip install upgrade pip python3 m pip install jupyter jupyter mac linux windows shell cd notebooks jupyter notesbook 2 a target blank href https colab research google com github charmve computer vision in action blob main notebooks chapter09 computer vision 9 11 neural style ipynb img src https colab research google com assets colab badge svg a google colab code img height 20 src https user images githubusercontent com 29084184 126463073 90077dff fb7a 42d3 af6b 63c357d6db9f png alt copy to drive title copy to drive code copy to drive a href https mybinder org v2 gh charmve computer vision in action main notebooks img src https mybinder org badge logo svg alt binder a mybinder p align center img src https user images githubusercontent com 29084184 126031057 1e6ca67f 4475 47c1 a6ff 66375cb86908 png width 60 alt run on colab title run on colab br 2 12 3 3 p p align center img src https user images githubusercontent com 29084184 126031137 14e349cd 1e89 4f98 9c56 0f1d3007ed89 png width 60 alt copy to drive br 3 12 3 3 colab code img height 20 src https user images githubusercontent com 29084184 126463073 90077dff fb7a 42d3 af6b 63c357d6db9f png alt copy to drive title copy to drive code copy to drive p code 1 l0cv shell sudo apt get update pip3 install r requirements txt l0cv shell python3 setup py shell cd code python3 l0cv test py 2 python3 import l0cv br details table class table table striped table bordered table vcenter tbody class ai notebooks table content tr td colspan 1 rowspan 1 class ai notebooks table points ai orange link div class mdl cell mdl cell 5 col mdl cell middle div class content h2 style text align center a href https mybinder org v2 gh charmve computer vision in action main notebooks jupyter a h2 p p div div class mdl grid running align center style text align center div class running item a href https charmve github 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clearwater | clearwater join chat https badges gitter im join 20chat svg https gitter im clearwater rb clearwater quality http img shields io codeclimate github clearwater rb clearwater svg style flat square https codeclimate com github clearwater rb clearwater build http img shields io travis ci clearwater rb clearwater svg style flat square https travis ci org clearwater rb clearwater downloads http img shields io gem dtv clearwater svg style flat square https rubygems org gems clearwater issues http img shields io github issues clearwater rb clearwater svg style flat square http github com clearwater rb clearwater issues license http img shields io badge license mit brightgreen svg style flat square http opensource org licenses mit version http img shields io gem v clearwater svg style flat square https rubygems org gems clearwater clearwater is a rich front end framework for building fast reasonable and easily composable browser applications in ruby it renders to a virtual dom and applies the virtual dom to the browser s actual dom to update only what has changed on the page installing add these lines to your application s gemfile ruby gem clearwater gem opal rails only if you re using rails using this is a minimum viable clearwater app ruby require opal require clearwater class helloworld include clearwater component def render h1 hello world end end app clearwater application new component helloworld new app call clearwater has three distinct parts 1 the component the presenter and template engine 1 the router optional the dispatcher and control 1 the application the go button the component ruby class blog all components need a set of behavior but don t worry it s not a massive list include clearwater component this method needs to return a virtual dom element using the element dsl the dsl is provided by the clearwater component mixin def render div articles new biography new end end while we use two components in this example you can use all of these as well ruby div id foo h1 heading h1 article hello article div def render div id foo h1 heading article hello end div hello world div def render div hello world end div 123 div def render div 123 end div div def render div end the router ruby router clearwater router new do a route with a block contains subordinate routes route blog blog new do blog route new article newarticle new blog new article this path contains a dynamic segment inside this component you can use router params article id to return the value for this segment of the url so for articles 123 router params article id would be 123 route article id articlereader new blog 123 end end using with rails you can also use clearwater as part of the rails asset pipeline first create your clearwater application replace app assets javascripts application js with this file app assets javascripts application rb ruby require opal not necessary if you load opal from a cdn require clearwater class layout include clearwater component def render h1 hello world end end app clearwater application new component layout new app call app views layouts application html erb erb doctype html html snip body we load the js in the body tag to ensure the element exists so we can render to it otherwise we need to use events on the document before we instantiate and call the clearwater app and that s no fun javascript include tag application body html then you need to get rails to render a blank page so add these two routes config routes rb ruby root home index get all home index you can omit the second line if your clearwater app doesn t use routing it just tells rails to let your clearwater app handle all routes app controllers home controller rb ruby class homecontroller applicationcontroller def index end end app views home index html erb html this page intentionally left blank you can use the rails generators to generate the controller and view rails g controller home index but it won t set up the root and catch all routes so you ll still need to do that manually once you ve added those files refresh the page you should see hello world in big bold letters congrats you ve built your first clearwater app on rails using with roda if you re using roda you ll want to use the roda opal assets gem https github com clearwater rb roda opal assets to get an asset pipeline style workflow for compiling your clearwater app into javascript getting started use the clearwater roda https github com clearwater rb clearwater roda gem to generate a starter clearwater app that demonstrates many components working together routing and even state management via grand central https github com clearwater rb grand central experiment you can experiment with clearwater using the clearwater playground https clearwater rb playground herokuapp com you can also explore other saved playground experiments https clearwater rb playground herokuapp com playgrounds contributing this project is governed by a code of conduct code of conduct md 1 fork it 1 branch it 1 hack it 1 save it 1 commit it 1 push it 5 pull request it license copyright c 2014 2018 jamie gaskins mit license permission is hereby granted free of charge to any person obtaining a copy of this software and associated documentation files the software to deal in the software without restriction including without limitation the rights to use copy modify merge publish distribute sublicense and or sell copies of the software and to permit persons to whom the software is furnished to do so subject to the following conditions the above copyright notice and this permission notice shall be included in all copies or substantial portions of the software the software is provided as is without warranty of any kind express or implied including but not limited to the warranties of merchantability fitness for a particular purpose and noninfringement in no event shall the authors or copyright holders be liable for any claim damages or other liability whether in an action of contract tort or otherwise arising from out of or in connection with the software or the use or other dealings in the software | clearwater ruby front-end | front_end |
denon-rest-api | denon rest api summary this application creates a rest api that can be used to send commands to a denon av receiver over a network connection this was tested with my denon avr e300 but should be compatible with other denon network attached receivers running in docker the included dockerfile will install the dependencies and run on an ubuntu image you must set the address environment variable to the ip address of the receiver you want to connect to port 8000 is exposed by default running from comamnd line 1 navigate to the root of this project in the command line 1 install node http nodejs org and execute npm install 2 run node ip address of receiver optional port to launch the web server port 8000 is used by default executing commands send get requests to http localhost port api command examples javascript http localhost 8000 api sidvd sets input to dvd http localhost 8000 api situner sets input to tuner http localhost 8000 api pwon turns power on notes the full list of valid commands is available in the included protocol pdf from denon you may need to adjust settings on your receiver to allow remote network control of your device this application communicates with the receiver via the factory provided telnet api | front_end |
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iot-python | python for ibm watson iot platform build status https travis ci org ibm watson iot iot python svg branch master https travis ci org ibm watson iot iot python coverage status https coveralls io repos github ibm watson iot iot python badge svg branch master https coveralls io github ibm watson iot iot python branch master github issues https img shields io github issues ibm watson iot iot python svg https github com ibm watson iot iot python issues github https img shields io github license ibm watson iot iot python svg https github com ibm watson iot iot python blob master license pypi https img shields io pypi v wiotp sdk svg https pypi org project wiotp sdk downloads https pepy tech badge ibmiotf https pepy tech project ibmiotf downloads https pepy tech badge wiotp sdk https pepy tech project wiotp sdk code style black https img shields io badge code 20style black 000000 svg https github com ambv black python module for interacting with the ibm watson iot platform https internetofthings ibmcloud com python 3 8 https www python org downloads release python 382 recommended python 3 7 python 3 6 note as of version 0 12 versions of python less than 3 6 are not officially supported compatability with older versions of python is not guaranteed product withdrawal notice per the september 8 2020 announcement https www 01 ibm com common ssi cgi bin ssialias subtype ca infotype an appname isource supplier 897 letternum enus920 136 rprodnx ibm watson iot platform 5900 a0n has been withdrawn from marketing effective december 9 2020 as a result updates to this project will be limited dependencies paho mqtt https pypi python org pypi paho mqtt iso8601 https pypi python org pypi iso8601 pytz https pypi python org pypi pytz requests https pypi python org pypi requests installation install the latest version https pypi org project wiotp sdk of the library with pip pip install wiotp sdk uninstall uninstalling the module is simple pip uninstall wiotp sdk legacy ibmiotf module version 0 4 0 of the old ibmiotf https pypi python org pypi ibmiotf pre release is still available if you do not wish to upgrade to the new version we have no plans to remove this from pypi at this time however it will not be getting any updates documentation https ibm watson iot github io iot python supported features device connectivity connect your device s to watson iot platform with ease using this library gateway connectivity connect your gateway s to watson iot platform with ease using this library application connectivity connect your application s to watson iot platform with ease using this library watson iot api support for the interacting with the watson iot platform through rest apis ssl tls by default this library connects your devices gateways and applications securely to watson iot platform registered service ports 8883 default and 443 support secure connections using tls with the mqtt and http protocol support for mqtt with tls requires at least python v2 7 9 or v3 5 and openssl v1 0 1 device management for device connects your device s as managed device s to watson iot platform device management for gateway connects your gateway s as managed device s to watson iot platform device management extensions provides support for custom device management actions scalable applications supports load balancing of mqtt subscriptions over multiple application instances auto reconnect all clients support automatic reconnect to the platform in the event of a network interruption websockets support device gateway application connectivity to watson iot platform using websocket unsupported features client side certificate based authentication client side certificate based authentication https console ng bluemix net docs services iot reference security rm security html n | sdk python iot | server |
FreeRTOS-Cpp | freertos cpp the purpose of this project is to create a modern c 17 header only interface to the freertos kernel api goals of this project include expose freertos modules as classes that allow an object oriented programming interface use templates to simplify queues and statically allocated modules with varying memory requirements make use of the c type system provide a minimal c interface that enables the user to create higher level abstractions the api documentation and examples https jonenz github io freertos cpp index html are intended to mimic the kernel documentation and examples changes to references and examples are intended to reflect how one would use the c interface instead of the original interface repository structure cmake examples config eventgroups kernel messagebuffer mutex queue semaphore streambuffer task timer freertos cpp cmakelists txt include freertos eventgroups hpp kernel hpp messagebuffer hpp mutex hpp queue hpp semaphore hpp streambuffer hpp task hpp timer hpp freertos kernel cmake directory that contains auxillary cmake modules this is used to provide a cmake configuration for the freertos kernel examples directory that contains all of the examples in the the api documentation there is a generic config file that s needed to ensure all of the examples correctly compile freertos cpp directory that contains the interface library this is the only directory that is needed to make use of this library freertos kernel directory where the freertos kernel is cloned as a submodule from the official git repo this version of the kernel is not required to use the project but it is the version that is tested for compilation of examples usage the recommended way of using this project is to add it or your fork of it as a submodule in the desired project then simply add freertos cpp include as an include path in the project a simple cmake configuration file is also provided this project makes use of c 17 language features so be sure to enable c 17 features for your compiler | c-plus-plus c-plus-plus-17 freertos freertos-kernel embedded | os |
neo-blockchain-toolkit | markdownlint enable neo blockchain toolkit build status https dev azure com ngdseattle public apis build status neo project neo blockchain toolkit branchname master https dev azure com ngdseattle public build latest definitionid 25 branchname master https vsmarketplacebadges dev version short ngd seattle neo blockchain toolkit svg https marketplace visualstudio com items itemname ngd seattle neo blockchain toolkit key benefits out of the box premium experience with preconfigured toolkit to jump start the development of smart contracts one stop shop proven libraries and practices to rapidly get smart contracts into production one ide built in real world privatenet with frictionless edit build debug deployment enhancements to ensure consistency across privatenet testnet and mainnet n3 preview support supports neo n3 and neo legacy https medium com neo smart economy introducing neo n3 the next evolution of the neo blockchain b2960c4def6e getting started please see the n3 tutorials https ngdenterprise com neo tutorials site for quick start videos and real world tutorials on using the latest version of the neo blockchain toolkit for developers targeting neo legacy please see the neo blockchain toolkit quickstart https github com neo project neo blockchain toolkit blob master quickstart md for instructions on setting up the tools and creating your first neo legacy smart contract key components neo smart contract debugger fully integrated smart contract debugging experience inside of visual studio code neo express real world privatenet enabling complete end to end scenarios for neo 2 x and neo 3 0 built on top of the neo mainnet codebase manage neo express for multiple nodes and multiple developers from within visual studio code or using command line utilities enhanced operations for developer scenarios e g snapshot rollback fastforward replay etc neo visual devtracker explore public and private neo blockchains from within visual studio code transfer assets claim gas deploy and invoke smart contracts on public and private neo blockchains from withing visual studio code create and manage neo express instances from within visual studio code neon smart contract compiler enhanced compiler with metadata to map net source code to neovm byte code and function variables arguments information etc create edit compile debug test and deploy smart contracts on both neo 2 x and neo 3 0 from within visual studio code smart contract templates in net languages friction free templates and guidance for developer productivity real world production quality smart contract development in minutes neo fx library unified programming model for a consistent and highly productive developer experience spanning remote node and contract sdks neo fx will provide a common set of fundamental types such as large unsigned integers for hash values and elliptic curves for cryptography domain models such as blocks and transactions and service abstractions such as retrieving a transaction or invoking a smart contract by using these common set of types across sdks developers will be able to move their code between sdks ensuring they can run their code in the manner that makes most sense for their blockchain application | blockchain |
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netphony-topology | netphony topology v1 4 0 snapshot repository branch build status master develop build status https travis ci org telefonicaid netphony topology svg branch master https travis ci org telefonicaid netphony topology build status https travis ci org telefonicaid netphony topology svg branch develop https travis ci org telefonicaid netphony topology latest maven central release maven central https maven badges herokuapp com maven central es tid netphony topology badge svg style flat square https maven badges herokuapp com maven central es tid netphony topology netphony topology is a bgp ls speaker a java based traffic engineering database and a topology module collection of teds and plugins to export and import the teds bgp ls is used for distributing network topologies to external elments for example a path computation element the bgp ls speaker can be run as a standalone application or as a module attached to other software the topology module can export the topologies via bgp ls or resconf based apis following standard formats latest news apache 2 0 license moved to slf4j logging framework added method to pass multiple teds from en external program added docker support in travis supports network protocols 1 3 2 chages in reading as path were needed update to support reading multiple as path topology module added topology module export via resconf with cop model topology module export via restconf with ietf model nodes only topology module export via unify model topology module import via xml topology module import export via bgp ls traffic engineering database the traffic engineering database ted is a collection of nodes and links each of them with traffic engineering attributes the ted has as an attribute a domain identifier and a network layer compilation and use the library can be built using the maven tool thus all the dependencies are included in the pom xml file there is a junit test included that performs the following tests buils two bgp ls speakers one acting as sender of topology and the other as consumer a small topology is loaded from an xml file in bgp ls speaker 1 this topology is sent to bgp ls speaker 2 contributions on expanding the test suite are welcomed to build the jar file and run the tests you can proceed as a regular maven install bash git clone https github com telefonicaid netphony topology git cd netphony topology mvn install bgp ls speaker the bgppeermain is an example of a main class to run a bgp speaker it represents a bgp4 peer it launches the bgp connections with its peers and waits for incoming connections to run the bgp peer as a standalone application use the class bgppeermain you can use maven to create an autoexecutable jar that includes all dependencies in a single file there is a specific profile called bgp ls speaker for this sole purpose plase be aware that if you use the real bgp port 179 you need to start as root bash git clone https github com telefonicaid netphony topology git cd netphony topology mvn clean package p bgp ls speaker assembly single sudo java dlog4j configurationfile target log4j2 xml jar target bgp ls speaker jar with dependencies jar target bgpls example1 bgp4parameters 1 xml before running you should configure the parameteres the parameters are configured in an xml file by default if used with bgppeermain or it is not specified a file name bgp4parameters xml should be used an example of the file is located in examples bgp4parameters xml and with the maven assembly build it is copied in the target directory configuration parameters the parameters to be configured are bgp4port tcp port where the bgp is listening for incoming bgp4 connections optional parameter default value 179 bgp port localbgpaddress ip where the bgp is listening for incoming bgp4 connections default value localhost bgpidentifier 32 bit id write it like an ip address e g 10 0 0 1 see section 3 2 1 4 of https datatracker ietf org doc draft ietf idr ls distribution include text 1 bgp4managementport tcp port to connect to manage the bgp connection default value 1112 configpeer peers to which this peer is going to establish connection one entry per peer peer ip address of the peer export if we need to export the topology to this peer false by default import if we are going to import topology from this peer true by default delay waiting time to re connect to clients default value 6000 ms myautonomoussystem rfc 4271 this 2 octet unsigned integer indicates the autonomous system number of the sender topology module the topology module is a collection of traffic engineering databases with a set of plugins that can import or export the teds the available plugins are bgp ls plugin the bgp ls plugin can run in three different modes the first one is export only so the teds are exported via bgp ls the second mode is import only where bgp ls is activated to import the teds the last one is import export so the bgp ls speaker is used both to import and export topologies by default the topologies are exported to all the peers except the one from which the ted has been learnt for each domain learn and new ted is created also a multi domain ted is created connecting all the intradomain topologies the bgp ls configuration is expressed in a file following the format shown in the previous section xml plugin the xml plugin can learn a topology described in an xml file current plugin reads only the information once unify plugin the unify plugin exports the topology via restconf following the unify format https tools ietf org html draft irtf nfvrg unify recursive programming 00 cop plugin the cop plugin exports the topology via restconf following the cop format ietf plugin in development current version supports node only follows https tools ietf org html draft ietf teas yang te topo 06 tapi plugin in development to run the topology module as a standalone application use the class es tid topologymodulebase topologymodulemain you can use maven to create an autoexecutable jar that includes all dependencies in a single file there is a specific profile called generate full jar for this sole purpose please be aware that if you use the bgp ls plugin and need to use the standar port 179 you need to start as root bash git clone git clone https github com telefonicaid netphony topology git cd netphony topology mvn clean package p generate full jar cd target for example to launch a topology module with bgp ls import and reconf cop export be sure to be in the target directory sudo java dlog4j configurationfile log4j2 xml jar topology 1 3 2 shaded jar tmconfiguration bgplsreader copwriter xml sample configuration files are included logging the software is built using the slf4j simple logging facade for java slf4j which serves as a facade for various logging frameworks e g java util logging logback log4j allowing the end final to plug in the desired logging framework at deployment time see http www slf4j org manual html for more details thus you can choose your favourite logging framework however as an example there is a profile included bgp ls speaker to build an autoexecutable version of a bgp peer that uses log4j http logging apache org log4j 2 x a sample configuration file log4j2 xml is provided and copied to the target directory if no logging framework is added by default it will log to dev null examples see examples doc examples md for several test scenarios of the bgp ls speaker and the topology modules xml format to describe the topology see topologyfiledescription doc topologyfiledescription md acknowledgements the software has been developed by telefonica i d core transport team led by juan pedro fernandez palacios in internal innovation projects and through several eu funded research proyects which continuously added functionality the core transport team group of telefonica working with the topology is formed by juan pedro fernandez palacios team leader victor lopez oscar gonzalez de dios felipe jim nez luis miguel contreras michel carnero and eduardo yusta all of them have contributed to the code either directly of with ideas and as beta testers the effort to release as open source of the code was funded by the e u csa pace the code has been upgraded in the e u projects strongest pace idealist acino and 5gex as well as telefonica innovation activities the effort to release version 1 3 3 has been partially funded by 5gex special thanks for the 5gex team in the integration efforts the developers of the code are some of them developed code before it was published in github so they do not appear there as members oscar gonzalez de dios marta cuaresma arturo mayoral sergio alejandro aguado jaume marhuenda maria victoria ruben rosales jose manuel gran josa victor uceda andrea sgambelluri kth and victor lopez the institutions contributing to the code are telefonica i d www tid es kth https www kth se as the software is now open source all contributors indviduals and insititution will be listed in the acknowledgement section | bgp-ls | server |
VisionLLM | visionllm paper https arxiv org abs 2305 11175 description large language models llms have notably accelerated progress towards artificial general intelligence agi with their impressive zero shot capacity for user tailored tasks endowing them with immense potential across a range of applications however in the field of computer vision despite the availability of numerous powerful vision foundation models vfms they are still restricted to tasks in a pre defined form struggling to match the open ended task capabilities of llms in this work we present an llm based framework for vision centric tasks termed visionllm this framework provides a unified perspective for vision and language tasks by treating images as a foreign language and aligning vision centric tasks with language tasks that can be flexibly defined and managed using language instructions an llm based decoder can then make appropriate predictions based on these instructions for open ended tasks extensive experiments show that the proposed visionllm can achieve different levels of task customization through language instructions from fine grained object level to coarse grained task level customization all with good results it s noteworthy that with a generalist llm based framework our model can achieve over 60 map on coco on par with detection specific models we hope this model can set a new baseline for generalist vision and language models online demo todo visionllm will be integrated into interngpt https github com opengvlab interngpt interngpt is online see https igpt opengvlab com https igpt opengvlab com let s try it schedule integrate into interngpt https github com opengvlab interngpt release code and models overview img width 800 alt image src https github com opengvlab visionllm assets 23737120 8fb174ed 4df7 490d 85be 4ebb524fc4c6 major features img width 800 alt image src https github com opengvlab visionllm assets 23737120 e825d53e e282 4d6a a1b3 7efb0dfa3613 license this project is released under the apache 2 0 license license citation if you find this project useful in your research please consider cite bibtex misc 2023visionllm title visionllm large language model is also an open ended decoder for vision centric tasks author wenhai wang and zhe chen and xiaokang chen and jiannan wu and xizhou zhu and gang zeng and ping luo and tong lu and jie zhou and yu qiao and jifeng dai howpublished url https arxiv org abs 2305 11175 year 2023 | large-language-models object-detection generalist-model | ai |
Embedded-system-prototyping | embedded system prototyping design of a pcb based on specs given as assignment in embedded system prototyping course in sundsvall s university during erasmus exchange programme img src images pcb image png alt image of the prototyped pcb title prototyped pcb | os |
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My-Learning-Tracker | my learning tracker tweet https img shields io twitter url http shields io svg style social https twitter com intent tweet text web 20dev 20learning 20tracker 20 url https github com syknapse my learning tracker via syknapse hashtags 100daysofcode a complete log of my web development skills learning resources highlights interests and everything to do with my learning it s a way to keep track organise and share my learning portfolio https www sykhoudeib com sykhoudeib com blog https www blog sykhoudeib com my web dev articles skills done https user images githubusercontent com 29199184 32275438 8385f5c0 bf0b 11e7 9406 42265f71e2bd png done skill 1 br introduction 2 br occasional use 3 br regular use react done done done done done done react hooks done done done done done done redux done done done done done done javascript done done done done done done es6 done done done done done done next js done done done done done done html done done done done done done css done done done done done done git done done done done done done typescript done done done done command line done done done done done done storybook done done done done done done mjml done done done done done done prettier done done done done done done eslint done done done done done done gulp webpack done done done done done done npm done done done done done done yarn done done done done done done responsive design done done done done done done markdown done done done done done done node js done done done done agile done done done done done done jira done done done done done done github done done done done done done bitbucket done done done done done done mobile first done done done done done done progressive enhancement done done done done done done css grid flex box done done done done done done postcss done done done done done done accessibility done done done done working with apis done done done done done done husky done done done done website building done done done done done done publishing website done done done done netlify done done done done backbone done done done done jquery done done done done bootstrap done done done done stylus done done done done open source contribution done done angular 4 done done learning status images completed https user images githubusercontent com 29199184 32275438 8385f5c0 bf0b 11e7 9406 42265f71e2bd png completed in progress https user images githubusercontent com 29199184 34462881 7305ddac ee4d 11e7 9b57 589424820da4 png in progress soon https user images githubusercontent com 29199184 34462916 d5c37bd4 ee4d 11e7 9f4a d57f2243281b png soon status year course tutor completed completed dec 2022 react and typescript steve kinney completed completed nov 2022 typescript fundamentals v3 mike north completed completed nov 2022 javascript the new hard parts will sentence completed completed sept 2022 the hard parts of servers and node js will sentence completed completed sept 2022 understanding typescript maximilian schwarzm ller completed completed mar 2022 javascript the hard parts will sentence completed completed jan 2022 dotfiles from start to finish ish patrick mcdonald completed completed dec 2019 getting started with redux dan abramov egghead io completed completed dec 2019 the next js handbook flavio copes completed completed oct 2019 you don t know javascript types grammar kyle simpson completed completed sept 2019 you don t know javascript objects classes kyle simpson completed completed jul 2019 you don t know javascript scope closure kyle simpson completed completed may 2019 eloquent javascript marijn haverbeke completed completed feb 2019 the complete javascript handbook flavio copes completed completed jan 2019 javascript clean code guide ryan mcdermott completed completed aug 2018 front end web developer nanodegree udacity google scholarship completed completed feb 2018 the beginner s guide to reactjs kent c dodds egghead io completed completed jan 2018 google developer challenge scholarship web developer udacity completed completed 2017 workflow tools for web developers christina truong lynda com completed completed 2017 learning git and github ray villalobos lynda com completed completed 2017 css essential training 3 christina truong lynda com completed completed 2017 css essential training 2 christina truong lynda com completed completed 2017 getting your website online christina truong lynda com completed completed 2017 learn enough command line to be dangerous michael hartl completed completed 2017 basic front end development projects free code camp completed completed 2017 the web developer bootcamp frond end colt steele udemy in progress in progress javascript and react for developers cassidy williams udemy in progress in progress front end development free code camp in progress in progress javascript30 wes bos soon soon read javascript the good parts douglas crockford reference links to courses react and typescript https frontendmasters com courses react typescript typescript fundamentals v3 https frontendmasters com courses typescript v3 javascript the new hard parts https frontendmasters com courses javascript new hard parts the hard parts of servers and node js https frontendmasters com courses servers node js understanding typescript https www udemy com course understanding typescript javascript the hard parts https frontendmasters com courses javascript hard parts v2 dotfiles from start to finish ish https www udemy com course dotfiles from start to finish ish getting started with redux https egghead io courses getting started with redux the next js handbook https www freecodecamp org news the next js handbook the complete javascript handbook https medium freecodecamp org the complete javascript handbook f26b2c71719c javascript clean code guide https github com ryanmcdermott clean code javascript front end web developer nanodegree https eu udacity com course front end web developer nanodegree nd001 javascript and react for developers https www udemy com js and react for devs you don t know javascript https github com getify you dont know js workflow tools for web developers https www lynda com web design tutorials workflow tools web development 533305 2 html learning git and github https www lynda com git tutorials up running git github 409275 2 html css essential training 3 https www lynda com css tutorials css essential training 3 609030 2 html css essential training 2 https www lynda com css tutorials css essential training 2 569189 2 html getting your website online https www lynda com web development tutorials getting your website online 609031 2 html learn enough command line to be dangerous https www learnenough com command line tutorial basic front end development projects https www freecodecamp org syknapse the web developer bootcamp frond end https www udemy com the web developer bootcamp the web developer bootcamp back end https www udemy com the web developer bootcamp front end development https www freecodecamp org syknapse google developer challenge scholarship https www udacity com google scholarships javascript30 https javascript30 com javascript jquery http javascriptbook com eloquent javascript http eloquentjavascript net learn css grid https scrimba com g gr8pte the beginner s guide to reactjs https egghead io courses the beginner s guide to reactjs reference links to tutors steve kinney https twitter com stevekinney mike north https twitter com michaellnorth maximilian schwarzm ller https twitter com maxedapps will sentence https twitter com willsentance patrick mcdonald https www udemy com user patrick mcdonald 8 dan abramov https twitter com dan abramov kyle simpson https twitter com getify flavio copes https twitter com flaviocopes ryan mcdermott https github com ryanmcdermott cassidy williams https twitter com cassidoo christina truong https twitter com christinatruong lynda com https www lynda com ray villalobos https twitter com planetoftheweb michael hartl https twitter com mhartl free code camp https www freecodecamp org udemy https www udemy com udacity https www udacity com wes bos https twitter com wesbos marijn haverbeke https twitter com marijnjh per harald borgen https twitter com perborgen scrimba https scrimba com kent c dodds https egghead io instructors kentcdodds egghead io https egghead io paths paths with multiple resources author 33 concepts every javascript developer should know leonardo maldonado best javascript books tutorials courses videos reactdom learn to code in 2018 andrei neagoie get job ready javascript edition p1xt full stack web developer path shovan chatterjee reference links to paths 33 concepts every javascript developer should know https github com leonardomso 33 js concepts best javascript books tutorials courses videos https reactdom com blog javascript books learn to code in 2018 https hackernoon com learn to code in 2018 get hired and have fun along the way b338247eed6a get job ready javascript edition https github com p1xt p1xt guides blob master job ready javascript edition 2 0 md full stack web developer path https github com shovanch fullstack web developer path reference links to authors leonardo maldonado https github com leonardomso reactdom https reactdom com andrei neagoie https twitter com andreineagoie p1xt https github com p1xt shovan chatterjee https github com shovanch interests i m currently interested in excited about typescript testing node and the mern stack dotfiles web development checklist this is a list of basic objectives to meet on the road to mastering web development it is an almost exact copy of ginny fahs https twitter com ginnyfahs things real developers do my bucket list https blog prototypr io wondering if youre a real developer yet try making a bucket list 281275482155 x open the computer s terminal x use a text editor bonus points if you have a specific reason for choosing it x use some keyboard shortcuts x write tests for your code x help another web developer with something they re having trouble with x attend an event about web development x follow developers you admire on social media x read a book about coding x open your browser console x get data from an api x hide api keys from the public x post a question on stack overflow x push code to github or gitlab or bitbucket speak about something web development related at an event x complete a technical interview x participate in a hackathon x deploy a project ship your project to a store contribute to open source x get paid to code x when people ask what you do respond saying you re a developer if you find this useful for your own needs you are welcome to fork a copy customise it or even give it a star you can follow me on twitter https twitter com syknapse syknapse or get in touch https syknapse github io syk houdeib contact my contact section portfolio acknowledgments this has been partly inspired by shovan chatterjee https twitter com shovan ch and his wonderful full stack web developer path https github com shovanch fullstack web developer path project and of course by alexander kallaway s https twitter com ka11away very motivational 100daysofcode challenge https github com kallaway 100 days of code and the great and supportive community around it license mit license https github com syknapse my learning tracker blob master license | front_end |
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slate | slate deprecated note slate has been deprecated and superseded by clay https github com pebble clay bower https img shields io bower v pebble slate svg slate is a front end framework for developing pebble mobile configuration pages it s the fastest way to make a clean ui for a pebble app s mobile configuration page screenshot https raw githubusercontent com pebble slate master docs assets screenshot png getting started getting slate there are only four files that makeup the slate framework a css file and a javascript file and two fonts there are two quick ways to getting started with slate via download the css and js files and fonts are also available via download download slate 0 0 3 https github com pebble slate archive v0 0 3 zip via bower the css and js files and fonts are also avaliable via bower bash bower install pebble slate zepto js slate is also bundled with zepto js https github com madrobby zepto which is a minimalist javascript library for modern browsers with a largely jquery compatible api video tutorial a detailed live demo tutorial was given at the pebble sf meetup and can be watched in full below image alt text here http img youtube com vi ttp7z6wceqi 0 jpg http www youtube com watch v ttp7z6wceqi additionally the example app used in the video can be found here https github com pebble hacks slate watchface template while a second example implementation can be found here https github com pebble examples slate config example documentation here is a list of the different components you can create with slate paragraphs paragraph https raw githubusercontent com pebble slate master docs assets slate paragraph png html div class item container div class item container content div class item abilities or he perfectly pretended so strangers be exquisite oh to another chamber pleased imagine do in went me rank at last loud shot an draw excellent so to no sincerity smallness removal request delight if on he we unaffected in we by apartments astonished to decisively themselves offended ten old consider speaking div div div headers footers and items header footer and item https raw githubusercontent com pebble slate master docs assets slate header content footer png html div class item container div class item container header single item div div class item container content label class item example item input type checkbox class item toggle name toggle 1 checked label div div class item container footer comfort reached gay perhaps chamber his six detract besides add moonlight newspaper up he it enjoyment agreeable depending timed a href voice share a led his widen noisy young div div toggles and selects toggles and select https raw githubusercontent com pebble slate master docs assets slate toggle png html div class item container div class item container header multiple items div div class item container content label class item example item input type checkbox class item toggle name toggle 2 checked label label class item example item input type checkbox class item toggle name toggle 3 label label class item example item select name select 1 dir rtl class item select option class item select option both option option class item select option selected major only option option class item select option minor only option select label div div checkboxes checkboxes https raw githubusercontent com pebble slate master docs assets slate checkbox png html div class item container div class item container header checkboxes div div class item container content label class item example item input type checkbox class item checkbox name checkbox 1 label label class item example item input type checkbox class item checkbox name checkbox 2 checked label div div radio buttons radio buttons https raw githubusercontent com pebble slate master docs assets slate radio png html div class item container div class item container header radio buttons div div class item container content label class item example item input type radio class item radio name radio 1 value a label label class item example item input type radio class item radio name radio 1 value b label label class item example item input type radio class item radio name radio 1 value c checked label div div date time and colorpickers date time and colorpickers https raw githubusercontent com pebble slate master docs assets slate date time colorpickers png html div class item container div class item container header date time colorpickers div div class item container content label class item example item input type time class item time name time 1 value 18 35 label label class item example item input type date class item date name date 1 value 2015 02 12 label label class item normal color picker input type text class item color item color normal name color 1 value 000000 label label class item sunny color picker input type text class item color item color sunny name color 2 value 000000 label div div input fields input field https raw githubusercontent com pebble slate master docs assets slate input png html div class item container div class item container header input field div div class item container content label class item div class item input wrapper input type text class item input name input 1 placeholder input field div label div div input fields with buttons input field with button https raw githubusercontent com pebble slate master docs assets slate input button png html div class item container div class item container header input field send button div div class item container content label class item div class item input wrapper item input wrapper button input type text class item input name input 2 placeholder input field div input type button class item button item input button value send label div div tab buttons tab buttons https raw githubusercontent com pebble slate master docs assets slate tab button png html div class item container div class item container header tab buttons div div class item container content div class item tab buttons a name tab 1 class tab button active both a a name tab 1 class tab button celcius a a name tab 1 class tab button fahrenheit a div div div sliders slider https raw githubusercontent com pebble slate master docs assets slate slider png html div class item container div class item container header slider div div class item container content label class item input type range class item slider name slider 1 value 50 div class item input wrapper item slider text input type text class item input name slider 1 value 50 div label div div draggable lists draggable list https raw githubusercontent com pebble slate master docs assets slate draggable png html div class item container div class item container header draggable items div div class item container content div class item draggable list label class item example item 1 label label class item example item 2 label label class item example item 3 label ul div div lists list https raw githubusercontent com pebble slate master docs assets slate list png html div class item container div class item container header item list div div class item container content div class item dynamic list label class item example item a label label class item example item b label div div div buttons button https raw githubusercontent com pebble slate master docs assets slate button png html div class item container div class button container input type button class item button value send div div | front_end |
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dd-ml-segmentation-benchmark | segmentation dataset this repository contains a description of the dronedeploy segmentation dataset and how to use it it also contains example code to get a working segmentation model up and running quickly using a small sample dataset see below for details of the full dataset and suggested improvement directions example https github com dronedeploy dd ml segmentation benchmark raw master img example jpg quickstart follow these steps to train a model and run inference end to end git clone https github com dronedeploy dd ml segmentation benchmark git cd dd ml segmentation benchmark pip3 install r requirements txt optional log in to w b to track your experiements wandb login train a keras model python3 main keras py train a fastai model python3 main fastai py this will download the sample dataset and begin training a model you can monitor training performance on weights biases https www wandb com once training is complete inference will be performed on all test scenes and a number of prediction images with names like 123123 abcabc prediction png will be created in the wandb directory after the images are created they will be scored and those scores stored in the predictions directory here s what a prediction looks like not bad for 50 lines of code but there is a lot of room for improvement example https github com dronedeploy dd ml segmentation benchmark raw master img out gif dataset details the dataset comprises a number of aerial scenes captured from drones each scene has a ground resolution of 10 cm per pixel for each scene there is a corresponding image elevation and label these are located in the images elevation and labels directories the images are rgb tiffs the elevations are single channel floating point tiffs where each pixel value represents elevation in meters and finally the labels are pngs with 7 colors representing the 7 classes documented below in addition please see index csv inside the downloaded dataset folder for a description of the quality of each labelled image and the distribution of the labels to use a dataset for training it must first be converted to chips see images2chips py this will create two directories images chips and label chips which will contain a number of 300x300 by default rgb images the label chips are also rgb but will be very low pixel intensities 0 7 so will appear black as first glance you can use the color2class and category2mask function to switch between the two label representations here is an example of one of the labelled scenes example https github com dronedeploy dd ml segmentation benchmark raw master img 15efe45820 d95df0b1f4inspire label png each color represents a different class color blue green red to class name 075 025 230 building 180 030 145 clutter 075 180 060 vegetation 048 130 245 water 255 255 255 ground 200 130 000 car 255 000 255 ignore ignore these magenta pixels mask areas of missing labels or image boundaries they can be ignored possible improvements the sample implementation is very basic and there is immediate opportunity to experiment with data augmentation datasets keras py datasets fastai py hyperparameters train keras py train fastai py post processing inference keras py inference fastai py chip size images2chips py model architecture train keras py train fastai py elevation tiles are not currently used at all images2chips py | machine-learing-algorithms segmentation vision python3 owner-vision tier3 | ai |
Project-of-medications-dispending-robot | project of medications dispending robot the project consists of mechanical electronical and programming parts the robot is intended for home use and for people that take care of the elderly or the sick project description in the mobile application is the possibility to set up hours of alarms and dispensing of medications there are sound and light signals when medications are despending the button on top of the device is used to turn off the alarm information in which the hour alarm was turned off is sent to the database where is the history of hours when the alarm was turned off a person who has the mobile application connected with the database have an access to the history of hours when the alarm was turned off an additional assumption is to achieve the highest possible energy saving mechanical part the mechanical part includes the outer casing made of plywood and the carousel for medications doses the carousel is made by the 3d printing technique img src img zlozonaobudowa jpg width 500 electronical part the main components of electronic circuit are power supply microcontroller esp8266 and stepper motor the microcontroller is programmed in c language img src img electronical diagram png width 1000 mobile application the project also includes the creation of a dedicated mobile application the application is used to read data from the robot and to set up settings for the device the application was created in android studio img src img glowna png width 250 real time database the intermediary between the application and the device is the real time database created with firebase technology img src img baza png width 300 | server |
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vuetify-component-lib-template | p float left img src https cdn auth0 com blog vuejs vue logo png alt vue js width 100 img src https www saashub com images app service logos 8 20ef90d04b35 large png 1527741609 alt vuetify js width 100 img src https opencollective production s3 us west 1 amazonaws com 011fc620 4cb2 11e9 a51a fdbb10b4cabb png alt storybook width 100 p vue js vuetify js component library template github issues https img shields io github issues mitevpi vuetify component lib template github pull requests https img shields io github issues pr raw mitevpi vuetify component lib template github contributors https img shields io github contributors mitevpi vuetify component lib template github last commit https img shields io github last commit mitevpi vuetify component lib template github release date https img shields io github release date mitevpi vuetify component lib template github code size in bytes https img shields io github languages code size mitevpi vuetify component lib template github repo size https img shields io github repo size mitevpi vuetify component lib template github https img shields io github license mitevpi vuetify component lib template a design system component library template for enabling graphic consistency and legibility across web development projects by creating reusable components and styles with accessible legible documentation built on top of vue js and vuetify js https vuetifyjs com en usage this template is comprised of two major categories styles src styles and components src components it builds to compiled components js and compiled styles css from the source vue files which can be used across web applications it also creates a storybook https storybook js org site for component design system documentation clone this repository locally and use it as a starting point for building a component library design system on top of vue js and vuetify js https vuetifyjs com en added updated configurations to vue cli starter 1 airbnb style guide https github com airbnb javascript 2 prettier style guide https prettier io 3 eslint style enforcing https eslint org 4 storybook https storybook js org 5 library build https cli vuejs org guide build targets html library 6 scss sass https github com sass node sass 7 vuetify js https vuetifyjs com en key commands after cloning downloading the repository locally install the required dependencies using npm i after installation the following commands can be used to develop build the component library 1 npm run build all this will build the component library in the dist folder the preview app in the dist app folder and the static storybook site for documenting the components in the storybook static folder 2 npm run storybook runs a local instance of storybook https storybook js org allowing you to preview interact with your component documentation 3 npm run serve runs the preview app how to import the built library importing components global importing the single file vue components directly if using vue cli 3 with babel or typescript it s recommended that you import its src directory this will minimize the size of your application by preventing duplicate or unnecessary polyfills importing the source vue file js main js import helloworld from component library src components vue use helloworld importing the bundled js js main js import helloworld from component library vue use helloworld in component import for single use in a component or small set of components importing the source vue file js component vue import helloworld from component library src components helloworld export default name tester components helloworld footer import component library src components footer script importing the bundled js components individually js component vue import helloworld from component library export default name tester components helloworld script importing styles loading compiled css the styles are written in scss and can be compiled upon building this library they can be loaded into an application that doesn t have scss loading capability by referencing importing the component library css file which is created in the dist folder of this repository when executing npm run build in order to enable this functionality an edit has to be made in vue config js vue config js the line extract false must be removed or set to true so that the compiled css file s are created upon build js import component library dist component library css loading scss directly in order to import and use styles across vue js applications the application will need to have sass node sass and sass loader installed as dev dependencies once installed the style files may be imported using the syntax below scss import in vue js style section import styles colors scss import styles font scss import styles typography screen after importing styles may be applied through classes or through referencing the variables exported by the sass scss importing variables in css nav a extend font bold color navy blue nav a router link exact active color blue html using classes directly in html h1 class typography page head sm page head sm h1 h1 class typography page head lg page head lg h1 design system the structure of this project and component library are meant to emulate a larger scale design system such as google s material colors colors are referenced into components from the styles folder src styles colors scss icons the icons are fontawesome 5 https fontawesome com and are loaded in using vuetify js https vuetifyjs com en fortawesome fontawesome free https www npmjs com package fortawesome fontawesome free components components can be found in the src components src components folder in the root directory of this repository typography font typography font classes can be found under the src styles src styles folder currently font scss and typography screen scss are available for font typography styling developer documentation building in order to contribute to this project fork clone this repository locally after cloning is completed install the dependencies using npm i preview you can start a development server by running the commands below in the root directory of this repository once the development server is running view localhost 8080 using chrome and vue js dev tools https chrome google com webstore detail vuejs devtools nhdogjmejiglipccpnnnanhbledajbpd hl en this is a preview application and will allow you to visualize the components styles that will ultimately be compiled to the design system library cmd npm run serve or run the storybook https storybook js org instance instead of the preview app cmd npm run storybook library to build the project as a library run npm run build in the root directory of the repository commands the following commands are used to develop the project 1 npm run build build the package distribution bundle 2 npm run build app build the preview web application 3 npm run build all build the preview application distribution bundles and the storybook https storybook js org static site 4 npm run serve start a development server with live reloading on changes used for previewing individual components 5 npm run lint lint code using eslint and vue airbnb and prettier configs 6 npm test run unit tests for the individual components in the package 7 npm run release runs tests build and version incrementing procedures 8 npm run storybook run storybook https storybook js org to see the component library in action 9 npm run build storybook build the storybook https storybook js org to a static application for deploying design system documentation elsewhere | vue vuetify component template frontend web vuejs design-system storybook material | os |
react-toolkit | axa fr react toolkit build status https dev azure com axaguildev react toolkit apis build status axafrance react toolkit branch master https dev azure com axaguildev react toolkit quality gate https sonarcloud io api project badges measure project axaguildev react toolkit metric alert status https sonarcloud io dashboard id axaguildev react toolkit reliability https sonarcloud io api project badges measure project axaguildev react toolkit metric reliability rating https sonarcloud io component measures id axaguildev react toolkit metric reliability rating security https sonarcloud io api project badges measure project axaguildev react toolkit metric security rating https sonarcloud io component measures id axaguildev react toolkit metric security rating code corevage https sonarcloud io api project badges measure project axaguildev react toolkit metric coverage https sonarcloud io component measures id axaguildev react toolkit metric coverage lerna https img shields io badge maintained 20with lerna cc00ff svg https lernajs io twitter https img shields io twitter follow guilddevopen style social https twitter com intent follow screen name guilddevopen about about getting started getting started packages packages concept concept how does it work how does it work list of supported browsers list of supported browsers contribute contribute roadmap roadmap about a set of independent components awesome library based on html and css using bem convention with the javascript reactjs implementation each component is autonomous and extensible pick and use only what you need how react toolkit does css isolation only by using bem block element modifier http getbem com css convention no need for intricate technologies just pragmatism components are simple to use just drag and drop it simple to customize by using css modifier to your own need each component may evaluate internally html css js and minimize any impact on your application you can easily build a new app from scratch or integrate some components into an existing application html css documentation website https axafrance github io target react toolkit storybook react storybook website https axafrance github io target react toolkit design getting started you can either install everything and use only what you need if you do that you will be able to use tree shaking to have a smaller bundle however you will need to import all the styles and not only the style related to your component sh npm install axa fr react toolkit all save javascript import react from react load only the component alert smaller bundle size import alert from axa fr react toolkit all component alert load all the toolkit bigger bundle size import alert from axa fr react toolkit all import axa fr react toolkit all dist style af toolkit core scss const myalertcomponent alert icon ok title this is an alert or you can install only the components you need sh npm install axa fr react toolkit alert save javascript import react from react import alert from axa fr react toolkit alert import axa fr react toolkit alert dist alert scss const myalertcomponent alert icon ok title this is an alert packages axa fr react toolkit all packages all readme md npm version https img shields io npm v axa fr react toolkit all style flat https www npmjs com package axa fr react toolkit all axa fr react toolkit action packages action readme md npm version https img shields io npm v axa fr react toolkit action style flat https www npmjs com package axa fr react toolkit action axa fr react toolkit alert packages alert readme md npm version https img shields io npm v axa fr react toolkit alert style flat https www npmjs com package axa fr react toolkit alert axa fr react toolkit badge packages badge readme md npm version https img shields io npm v axa fr react toolkit badge style flat https www npmjs com package axa fr react toolkit badge axa fr react toolkit button packages button readme md npm version https img shields io npm v axa fr react toolkit button style flat https www npmjs com package axa fr react toolkit button axa fr react toolkit collapse packages collapse readme md npm version https img shields io npm v axa fr react toolkit collapse style flat https www npmjs com package axa fr react toolkit collapse axa fr react toolkit core packages core readme md npm version https img shields io npm v axa fr react toolkit core style flat https www npmjs com package axa fr react toolkit core axa fr react toolkit form core packages form core readme md npm version https img shields io npm v axa fr react toolkit form core style flat https www npmjs com package axa fr react toolkit form core axa fr react toolkit form filter packages form filter readme md npm version https img shields io npm v axa fr react toolkit form filter style flat https www npmjs com package axa fr react toolkit form filter axa fr react toolkit form filter inline packages form filter inline readme md npm version https img shields io npm v axa fr react toolkit form filter inline style flat https www npmjs com package axa fr react toolkit form filter inline axa fr react toolkit form input card packages form input card readme md npm version https img shields io npm v axa fr react toolkit form input card style flat https www npmjs com package axa fr react toolkit form input card axa fr react toolkit form input checkbox packages form input checkbox readme md npm version https img shields io npm v axa fr react toolkit form input checkbox style flat https www npmjs com package axa fr react toolkit form input checkbox axa fr react toolkit form input choice packages form input choice readme md npm version https img shields io npm v axa fr react toolkit form input choice style flat https www npmjs com package axa fr react toolkit form input choice axa fr react toolkit form input date packages form input date readme md npm version https img shields io npm v axa fr react toolkit form input date style flat https www npmjs com package axa fr react toolkit form input date axa fr react toolkit form input file packages form input file readme md npm version https img shields io npm v axa fr react toolkit form input file style flat https www npmjs com package axa fr react toolkit form input file axa fr react toolkit form input number packages form input number readme md npm version https img shields io npm v axa fr react toolkit form input number style flat https www npmjs com package axa fr react toolkit form input number axa fr react toolkit form input pass packages form input pass readme md npm version https img shields io npm v axa fr react toolkit form input pass style flat https www npmjs com package axa fr react toolkit form input pass axa fr react toolkit form input radio packages form input radio readme md npm version https img shields io npm v axa fr react toolkit form input radio style flat https www npmjs com package axa fr react toolkit form input radio axa fr react toolkit form input select packages form input select readme md npm version https img shields io npm v axa fr react toolkit form input select style flat https www npmjs com package axa fr react toolkit form input select axa fr react toolkit form input select multi packages form input select multi readme md npm version https img shields io npm v axa fr react toolkit form input select multi style flat https www npmjs com package axa fr react toolkit form input select multi axa fr react toolkit form input slider packages form input slider readme md npm version https img shields io npm v axa fr react toolkit form input slider style flat https www npmjs com package axa fr react toolkit form input slider axa fr react toolkit form input switch packages form input switch readme md npm version https img shields io npm v axa fr react toolkit form input switch style flat https www npmjs com package axa fr react toolkit form input switch axa fr react toolkit form input text packages form input text readme md npm version https img shields io npm v axa fr react toolkit form input text style flat https www npmjs com package axa fr react toolkit form input text axa fr react toolkit form input textarea packages form input textarea readme md npm version https img shields io npm v axa fr react toolkit form input textarea style flat https www npmjs com package axa fr react toolkit form input textarea axa fr react toolkit form steps packages form steps readme md npm version https img shields io npm v axa fr react toolkit form steps style flat https www npmjs com package axa fr react toolkit form steps axa fr react toolkit form summary packages form summary readme md npm version https img shields io npm v axa fr react toolkit form summary style flat https www npmjs com package axa fr react toolkit form summary axa fr react toolkit help packages help readme md npm version https img shields io npm v axa fr react toolkit help style flat https www npmjs com package axa fr react toolkit help axa fr react toolkit icon packages icon readme md npm version https img shields io npm v axa fr react toolkit icon style flat https www npmjs com package axa fr react toolkit icon axa fr react toolkit layout footer packages layout footer readme md npm version https img shields io npm v axa fr react toolkit layout footer style flat https www npmjs com package axa fr react toolkit layout footer axa fr react toolkit layout footer client packages layout footer client readme md npm version https img shields io npm v axa fr react toolkit layout footer client style flat https www npmjs com package axa fr react toolkit layout footer client axa fr react toolkit layout header packages layout header readme md npm version https img shields io npm v axa fr react toolkit layout header style flat https www npmjs com package axa fr react toolkit layout header axa fr react toolkit link packages link readme md npm version https img shields io npm v axa fr react toolkit link style flat https www npmjs com package axa fr react toolkit link axa fr react toolkit loader packages loader readme md npm version https img shields io npm v axa fr react toolkit loader style flat https www npmjs com package axa fr react toolkit loader axa fr react toolkit modal boolean packages modal boolean readme md npm version https img shields io npm v axa fr react toolkit modal boolean style flat https www npmjs com package axa fr react toolkit modal boolean axa fr react toolkit modal default packages modal default readme md npm version https img shields io npm v axa fr react toolkit modal default style flat https www npmjs com package axa fr react toolkit modal default axa fr react toolkit panel packages panel readme md npm version https img shields io npm v axa fr react toolkit panel style flat https www npmjs com package axa fr react toolkit panel axa fr react toolkit popover packages popover readme md npm version https img shields io npm v axa fr react toolkit popover style flat https www npmjs com package axa fr react toolkit popover axa fr react toolkit restitution packages restitution readme md npm version https img shields io npm v axa fr react toolkit restitution style flat https www npmjs com package axa fr react toolkit restitution axa fr react toolkit table packages table readme md npm version https img shields io npm v axa fr react toolkit table style flat https www npmjs com package axa fr react toolkit table axa fr react toolkit tabs packages tabs readme md npm version https img shields io npm v axa fr react toolkit tabs style flat https www npmjs com package axa fr react toolkit tabs axa fr react toolkit title packages title readme md npm version https img shields io npm v axa fr react toolkit title style flat https www npmjs com package axa fr react toolkit title concept each component should be autonomous html css js and extensible how does it work html css bem convention is used in order to break css cascading problem scss and css files are avalaible for every component and can be overrided or extended html css documentation https axafrance github io target react toolkit storybook react components are stateless by default some higher order components hoc are stateful but feel free to use the stateless one if it fits your use case react documentation https axafrance github io target react toolkit design list of supported browsers here is the list of browsers we tested this toolkit on chrome 84 firefox 79 microsoft edge 85 internet explorer 11 safari 13 1 opera 71 contribute how to run the solution and to contribute contributing md please respect our code of conduct code of conduct md roadmap update general documentation migrating to typescript all components fix the issues and clean code make it simpler faster lighter | reactjs design-system guildevopen storybook bem-convention software front-end-development | os |
Gym-Management-System-DBMS-SQL | gym management system dbms language c database my sql source code for interface and database can be found in source code and snapshots gym management system pdf to be downloaded to view database schema and er diagram can be found below the software to be produced is on gymnasium management system here there are two users they are the gym administrators which also include the managers and the members which also include the trainers the administrators manage all the various parts of the gym they can either login with their existing credentials or create a new account after successful login they can manage various parts of the gym like the members trainers fees details memberships equipments and gym details the admin can check for existing members or trainers and can also register for new members or trainers they can view the details of payment of fees of various members and can add memberships to the gym they can also keep track of the equipments provided in the gym and also update the rental fees quantity and availability of equipments in the gym the administrator can also update the gym details which includes the contact numbers the opening and closing time the total members and trainers registered in the gym and also the different types of memberships available on the other hand the members can either login with their existing credentials or create a new account after successful login they can view their various details like membership type payment of fees personal trainers equipments rented and the gym details modules of the software 1 signup and login the admin is the owner of the gym and will manage the trainers as well as the members of the gym to secure the system from anonymous persons the login system is designed so the admin and the members will have their own username and the password this entity will also record the login time and logout time of the user from the system maintaining the record of the time will provide a secure surveillance over the admin events also the administrator also has relationships with every entity as it needs to track every performance of the system 2 staff it is used for managing the registered staff in the gym this includes adding removing updating and fetching all the details of the staff 3 members it is used for managing the registered members in the gym this includes adding removing updating and fetching all the details of the members 4 trainers it is used for managing the registered trainers in the gym this includes adding removing updating and fetching all the details of the trainers 5 memberships it is used for managing membership plans in the gym this includes adding removing updating and fetching all the details of the membership plans 6 equipment it is used to keep track of equipment in the gym this includes adding removing updating and fetching all the details of the equipments available in the gym database schema image https github com madgepereira020701 gym management system dbms assets 111832594 b3158d35 73fc 447c b74e a0e807cd7e0f er diagram image https github com madgepereira020701 gym management system dbms assets 111832594 3c6f4540 eeaf 4ed9 8f3f 401a54266f3e | server |
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WeChat-MiniProgram-WebAR | 1 chinese readme https zhuanlan zhihu com p 72617098 2 chinese source code analysis https zhuanlan zhihu com p 74438078 updated date update 2022 07 23 new use an experimental worker on ios please see the image ar and 3d mask fixed issue image ar cannot run on ios for a while 2021 12 11 new added a image tracker using opencv webassembly please see the image ar using opencv 2021 09 07 new added a color tracker mode please see the color ar 2021 08 15 new added a video mask mode for image ar this is a css 3d transformation which does not require three js please see the image ar and video mask update replace the spirit geometry with a plane geometry 2021 04 03 update the access a camera mode of image ar is recoverd 2021 03 15 new the display of the ar mask is changed from 2d to 3d by three js update because the access a camera mode is slow it is removed 2019 08 16 update the project structure has been modified the color tracker and object tracker are removed fix access a camera mode that does not work properly on android 2019 08 06 fix issue when function wx canvastotempfilepath is called frequently on android wechat wechat will be crashed 2019 08 01 update the perspective transform is achieved 2019 07 15 update the nft natural feature tracking is achieved 2019 07 08 new the affine transform is achieved introduction on wechat web ar this is a wechat web ar on july 5 2019 wechat miniprogram supported ar it was added a new api named cameraframelistener cameraframelistener api https developers weixin qq com miniprogram dev api media camera cameracontext oncameraframe html we can create ar effects with the new api this demo demonstrates a ar tracker effect using tracking js and jsfeat library the tracking js brings computer vision algorithms and techniques into browser environment the jsfeat is also a javascript computer vision library we can do real time image and face detection tracking js https trackingjs com and jsfeat https inspirit github io jsfeat index page of the wechat mini program avatar screenshot index jpg avatar screenshot index 2 jpg image ar and 3d mask ios wechat version number 8 0 24 or above it will use an experimental worker android and other it will not use an experimental worker use the demo to scan a pattern image below avatar face pattern jpg a cat beard is on the pattern image avatar screenshot 1 1 jpg a effect of translating and scaling avatar screenshot 1 2 jpg a effect of rotating avatar screenshot 1 3 jpg image ar using opencv this is the same as above supports image rotation the image is rotated by 30 degrees avatar screenshot 5 1 jpg the image is rotated by 90 degrees avatar screenshot 5 2 jpg image ar and video mask use the demo to scan a rotating image below avatar screenshot 4 1 jpg a video player is on and aligned with the image avatar screenshot 4 2 jpg color ar use the demo to scan a yellow color expect a effect below avatar screenshot 5 color jpg a effect of hiddening avatar screenshot 5 mask jpg custom the color of the highlighted area avatar screenshot 5 setting jpg face ar use the demo to scan a face expect a effect below avatar screenshot 2 1 jpg a effect of translating and scaling avatar screenshot 2 2 jpg because the landmarks of the demo are simple and basic only a effect of translating and scaling is on a rotating image avatar screenshot 2 3 jpg how to replace the cat beard image you may replace the default url of a image for 2d mask file package image tracker pages photo photo js and package face tracker pages photo photo js javascript a url of sprite image const modelurl utils cat beard png the width and height of the modelurl image should be 256 x 256 512 x 512 and 1024 x 1024 etc how to replace the pattern image for image ar file package face tracker utils imagebusiness js javascript const patternimageurl face pattern jpg a pattern image avatar face pattern jpg how to put a image on other positions for image ar select a track point on a pattern image the point is used to set the cat beard image file package image tracker utils modelbusiness js javascript a index of a track point on a pattern image const trackpoint x 185 the width of the pattern image is 375 y 224 the height of the pattern image is 375 how to put a image on other positions for face ar this is a map of the 31 keypoints of a face landmarks avatar screenshot 3 jpg for example a number 27 and number 29 are the sides of the mouth file package face tracker utils modelbusiness js javascript index of the track points of the face const trackpointa index of a landmark id 27 x coordinate x 155 69898111309 the width of the face image is 375 const trackpointb index of a landmark id 29 x coordinate x 216 53075265284997 the width of the face image is 375 known issues the ar demo is very slow on ios wechat | wechat wechat-mini-program webar ar natural-feature-tracking markless-augmented-reality augmented-reality | ai |
Unity-2022-Mobile-Game-Development-3rd-Edition | unity 2022 mobile game development third edition a href https www packtpub com product unity 2022 mobile game development third edition 9781804613726 utm source github utm medium repository utm campaign img src https content packt com b18868 cover image small jpg alt height 256px align right a this is the code repository for unity 2022 mobile game development third edition https www packtpub com product unity 2022 mobile game development third edition 9781804613726 utm source github utm medium repository utm campaign published by packt build and publish engaging games for android and ios what is this book about unity is a well established player in the mobile game development sphere and its new release unity 2022 is packed with new exciting features in unity 2022 mobile game development the third edition in this popular series you ll get to grips with the unity game engine by building a mobile game and publishing it on the most popular mobile app stores as well as exploring the all new features this book covers the following exciting features design responsive uis for your mobile games detect collisions receive user input and create player movements create engaging gameplay elements using mobile device input add custom icons and presentation options keep players engaged by using unity s mobile notification package integrate social media into your projects incorporate augmented reality features in your game for real world appeal build exciting games with post processing and particle effects if you feel this book is for you get your copy https www amazon com dp 180461372x today a href https www packtpub com utm source github utm medium banner utm campaign githubbanner img src https raw githubusercontent com packtpublishing github master github png alt https www packtpub com border 5 a instructions and navigations all of the code is organized into folders for example chapter02 the code will look like the following public void shownotification string title string body datetime deliverytime igamenotification notification notificationsmanager createnotification if notification null notification title title notification body body notification deliverytime deliverytime notification smallicon icon 0 notification largeicon icon 1 notificationsmanager schedulenotification notification following is what you need for this book if you are a game developer or mobile developer looking to learn unity and employ it to build mobile games for ios and android then this unity book is for you prior knowledge of c and unity will be beneficial but isn t mandatory with the following software and hardware list you can run all code files present in the book chapter 1 15 software and hardware list chapter software required os required 1 15 unity 2022 1 0b16 windows mac os x and linux 1 15 unity hub 3 3 1 windows mac os x and linux we also provide a pdf file that has color images of the screenshots diagrams used in this book click here to download it https packt link 6m4wr related products learning c by developing games with unity seventh edition packt https www packtpub com product learning c by developing games with unity seventh edition 9781837636877 utm source github utm medium repository utm campaign 9781837636877 amazon https www amazon com dp 1837636877 hands on unity 2022 game development third edition packt https www packtpub com product hands on unity 2022 game development third edition 9781803236919 utm source github utm medium repository utm campaign 9781803236919 amazon https www amazon com dp 1803236914 get to know the author john p doran is a passionate and seasoned technical game designer software engineer and author who is based in songdo south korea his passion for game development began at an early age he later graduated from digipen institute of technology with a bachelor of science in game design and a master of science in computer science from bradley university for over a decade john has gained extensive hands on expertise in game development working in various roles ranging from game designer to lead user interface ui programmer working in teams consisting of just himself to over 70 people in student mod and professional game projects including working at lucasarts on star wars 1313 additionally john has worked in game development education teaching in singapore south korea and the us to date he has authored 17 books pertaining to game development and is a 2023 unity education ambassador john is currently an instructor at george mason university korea prior to his present ventures he was an award winning videographer other books by the author unity 2017 mobile game development https www packtpub com product unity 2017 mobile game development 9781787288713 utm source github utm medium repository utm campaign 9781787288713 unity 2020 mobile game development second edition https www packtpub com product unity 2020 mobile game development second edition 9781838987336 utm source github utm medium repository utm campaign 9781838987336 unreal engine game development cookbook https www packtpub com product unreal engine game development cookbook 9781784398163 utm source github utm medium repository utm campaign 9781784398163 unity 2021 shaders and effects cookbook fourth edition https www packtpub com product unity 2021 shaders and effects cookbook fourth edition 9781839218620 utm source github utm medium repository utm campaign 9781839218620 unity 2018 shaders and effects cookbook third edition https www packtpub com product unity 2018 shaders and effects cookbook third edition 9781788396233 utm source github utm medium repository utm campaign 9781788396233 unreal engine 4 x scripting with c cookbook https www packtpub com product unreal engine 4x scripting with c cookbook second edition 9781789809503 building an fps game with unity https www packtpub com product building an fps game with unity 9781782174806 | front_end |
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sea-b28-foundations | foundations of computer science and web development bootcamp a code fellows http codefellows com bootcamp key details dates jan 5 jan 30 2015 class times 9am 5pm monday ndash friday class location code fellows hq 511 boren ave n seattle wa 98109 requirements 1 a working mac or linux laptop with plenty of free space on the hard drive free of any viruses and malware using the latest fully updated operating system and able to reliably connect to the internet via wireless network 2 please order your textbooks now so they arrive before class starts it s a 2 book set both are excellent html css http www amazon com dp 1118008189 javascript jquery http www amazon com dp 1118531647 | front_end |
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PocketMarvel | exam project for the android programming course spring 2019 | server |
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embedded-iot_profile | embedded iot profile usb armory for daily use https github com hardenedlinux embedded iot profile blob master docs usb armory for daily use md 1 getting started bootable image network sdcard resizing linksys wrt1900acs openwrt for daily use https github com hardenedlinux embedded iot profile blob master docs linksys wrt1900acs openwrt for daily use md 1 getting started flashing firmware network configuration etc 2 advance use integrated shadowsocks | server |
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iotStudio | iotstudio p align center img src https img shields io github commit activity m dgiot iotstudio alt ommit activity img src https badgen net badge package 40dgiot 2fiotstudio blue alt package maxretrytimes 3 class m 1 transition all duration 1000 img src https img shields io github release dgiot iotstudio color brightgreen alt release dgiot dgiot 5 30 90 https www dgiotcloud cn qq https jq qq com wv 1027 k lipwzvde 346566935 img src https dgiot web 1306147891 cos ap nanjing myqcloud com wechat png width 60 br br https prod dgiotcloud cn br br br br img src http dgiot 1253666439 cos ap shanghai fsi myqcloud com shuwa tech zh qq e6 8a 80 e6 9c af e7 be a4 e4 ba 8c e7 bb b4 e7 a0 81 png width 60 02 png https dgiot 1253666439 cos ap shanghai fsi myqcloud com shuwa tech zh frontend web e5 be ae e6 9c 8d e5 8a a1 e6 9e b6 e6 9e 84 e5 9b be 02 png dgiot github https github com dgiot iotstudio https github com dgiot iotstudio from git gitee https gitee com dgiot iotstudio https gitee com dgiot iotstudio from git img src http dgiot 1253666439 cos ap shanghai fsi myqcloud com dgiot release dgiot wechat jpg width 20 dgiot develop tools https dgiot dev 1306147891 cos ap nanjing myqcloud com msys64 msys64 zip bash git clone b master https github com dgiot iotstudio git bash cd iotstudio npm install yarn g yarn config set registry https registry npm taobao org g yarn v yarn install bash yarn dev bash yarn build b65e47b3 afcf 9bf4 4190 ab6c557ef217 png https dgiot 1253666439 cos ap shanghai fsi myqcloud com shuwa tech zh frontend web b65e47b3 afcf 9bf4 4190 ab6c557ef217 png http localhost dgiot admin dgiot admin https prod dgiotcloud cn dgiot file website head png https prod dgiotcloud cn dgiot file website konva png https prod dgiotcloud cn dgiot file website realcard png https prod dgiotcloud cn | vue tdengine rocketmq emqx activemq iot docker | server |
laptop | laptop build status https travis ci org monfresh laptop svg https travis ci org monfresh laptop laptop is a script to set up an os x computer for web development it can be run multiple times on the same machine safely it installs upgrades or skips packages based on what is already installed on the machine this particular version of the script is geared toward beginners who want to set up a ruby on rails environment on their mac more advanced users can easily customize customize in laptoplocal the script to install additional tools to see an example of a more advanced script check out 18f laptop https github com 18f laptop requirements i support clean installations of these operating systems os x yosemite 10 10 https www apple com osx os x mavericks 10 9 older versions may work but aren t regularly tested bug reports for older versions are welcome install begin by opening the terminal application on your mac the easiest way to open an application in os x is to search for it via spotlight the default keyboard shortcut for invoking spotlight is command space once spotlight is up just start typing the first few letters of the app you are looking for and once it appears press return to launch it in your terminal window copy and paste each of these three commands one at a time then press return after each one to download review and execute the script respectively sh curl remote name https raw githubusercontent com monfresh laptop master mac cat mac bash mac 2 1 tee laptop log source rvm scripts rvm i also have more detailed instructions with a video video in the wiki spotlight https support apple com en us ht204014 video https github com monfresh laptop wiki detailed installation instructions with video debugging your last laptop run will be saved to laptop log read through it to see if you can debug the issue yourself if not copy the lines where the script failed into a new github issue https github com monfresh laptop issues new for me or attach the whole log file as an attachment what it sets up flux for adjusting your mac s display color so you can sleep better github for mac for setting up your ssh keys automatically heroku toolbelt for deploying and managing heroku apps homebrew for managing operating system libraries homebrew cask for quickly installing mac apps from the command line homebrew services so you can easily stop start and restart services hub for interacting with the github api postgres for storing relational data qt for headless javascript testing via capybara webkit rvm for managing ruby versions includes bundler and the latest ruby sublime text 3 for coding all the things zsh as your shell bundler http bundler io flux https justgetflux com github for mac https mac github com heroku toolbelt https toolbelt heroku com homebrew http brew sh homebrew cask http caskroom io homebrew services https github com gapple homebrew services hub https github com github hub postgres http www postgresql org qt http qt project org ruby https www ruby lang org en rvm https github com wayneeseguin rvm sublime text 3 http www sublimetext com 3 zsh http www zsh org it should take less than 15 minutes to install depends on your machine and internet connection customize in laptop local your laptop local is run at the end of the mac script put your customizations there this repo already contains a laptop local you can use to get started it lets you install the following tools commented out by default atom github s open source text editor cloudapp for sharing screenshots and making an animated gif from a video firefox for testing your rails app on a browser other than chrome or safari iterm2 an awesome replacement for the os x terminal atom https atom io cloudapp http getcloudapp com firefox https www mozilla org en us firefox new iterm2 http iterm2 com to install any of the above tools uncomment them from laptop local by removing the for example to install cloudapp your laptop local should look like this sh bin sh brew cask install atom brew cask install cloud brew cask install firefox brew cask install iterm2 write your customizations such that they can be run safely more than once see the mac script for examples laptop functions such as fancy echo brew install or upgrade gem install or update and brew cask install can be used in your laptop local sh go to your os x user s root directory cd download the sample file to your computer curl remote name https raw githubusercontent com monfresh laptop master laptop local credits this laptop script is inspired by thoughbot s laptop https github com thoughtbot laptop script public domain thoughtbot s original work remains covered under an mit license https github com thoughtbot laptop blob c997c4fb5a986b22d6c53214d8f219600a4561ee license my work on this project is in the worldwide public domain license md as are contributions to my project as stated in contributing contributing md this project is in the public domain within the united states and copyright and related rights in the work worldwide are waived through the cc0 1 0 universal public domain dedication https creativecommons org publicdomain zero 1 0 all contributions to this project will be released under the cc0 dedication by submitting a pull request you are agreeing to comply with this waiver of copyright interest | front_end |
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Archived | archived private archived folder university of asia pacific department of computer science amp engineering bachelor of science in engineering jahangirnagar university institute of information technology professional masters in information technology bus 401 business and entrepreneurship bus 402 business and entrepreneurship lab chem 111 chemistry chem 112 chemistry lab cse 101 introduction to computer science programming methodology cse 102 introduction to computer science programming methodology lab cse 103 structured programming cse 104 structured programming lab cse 105 discrete mathematics cse 203 object oriented programming i java cse 204 object oriented programming i java lab cse 205 data structures cse 206 data structures lab cse 207 algorithms cse 208 algorithms lab cse 209 digital logic system design cse 210 digital logic system design lab cse 211 database systems cse 212 database systems lab cse 303 data communications cse 304 data communications lab cse 305 system analysis and design cse 306 system analysis design lab cse 307 theory of computation cse 309 object oriented programming ii visual and web programming cse 310 object oriented programming ii lab visual and web programming lab cse 311 microprocessors assembly language cse 312 microprocessors assembly lab cse 313 numerical methods cse 314 numerical methods lab cse 315 peripheral interfacing cse 316 peripheral interfacing lab cse 317 computer architecture cse 319 computer networks cse 320 computer networks lab cse 321 software engineering cse 322 software engineering lab cse 330 industrial training cse 400 project thesis cse 401 mathematics for computer science cse 403 artificial intelligence and expert systems cse 404 artificial intelligence and expert systems lab cse 405 operating systems cse 406 operating systems lab cse 407 ict law policy and ethics cse 410 software development cse 425 computer graphics cse 426 computer graphics lab cse 427 topics of current interest cse 429 compiler design cse 430 compiler design lab cse 457 design and testing of vlsi cse 458 design and testing of vlsi lab ecn 201 economics eee 121 electrical electronic engineering i eee 122 electrical electronic engineering i lab eee 221 electrical electronic engineering ii eee 222 electrical electronic engineering ii lab hss 101 english i written and spoken english hss 111 a bangladesh studies society and culture hss 111 b bangladesh studies bangladesh history hss 301 english ii english for communications mth 101 math i basic calculus co ordinate geometry mth 103 math ii linear algebra mth 201 math iii multivariable calculus mth 203 probability statistics mth 205 math iv differential equations and fourier and laplace transformations phy 101 physics phy 102 physics lab cse 411 mobile communications cse 413 cloud computing cse 415 parallel and distributed systems cse 417 management information systems cse 419 sensor networks cse 421 graph theory cse 423 bioinformatics cse 425 environment and green technology cse 431 simulation and modeling cse 432 simulation and modeling lab cse 433 fault tolerant systems cse 434 fault tolerant system lab cse 435 pattern recognition cse 436 pattern recognition lab cse 437 multimedia technology cse 438 multimedia technology lab cse 439 wireless networking cse 440 wireless networking lab cse 441 introduction to computer vision cse 442 introduction to computer vision lab cse 443 unix and systems programming cse 444 unix and systems programming lab cse 445 human computer interaction cse 446 human computer interaction lab cse 447 distributed operating system cse 448 distributed operating system lab cse 449 digital signal processing cse 450 digital signal processing lab cse 451 object oriented database cse 452 object oriented database lab cse 453 software design pattern cse 454 software design pattern lab cse 455 e commerce and web engineering cse 456 e commerce and web engineering lab cse 459 natural language processing cse 460 natural language processing lab cse 461 robotics cse 462 robotics lab cse 463 embedded systems cse 464 embedded systems lab cse 465 computer and network security cse 466 computer and network security lab cse 467 data mining machine learning cse 468 data mining machine learning lab cse 469 topics of current interest cse 470 topics of current interest lab pmit 6111 software testing quality assurance pmit 6113 mobile application development pmit 6217 wireless networks pmit 6307 data mining knowledge discovery pmit 6104 database security pmit 6107 artificial intelligence neural network pmit 6201 cloud mobile computing pmit 6223 iot fog computing pmit 6204 cryptography steganography pmit 6311 human computer interaction pmit 6316 special topics related to ict pmit 6000 research project pmit 6001 computer programming environment pmit 6002 information system analysis design pmit 6003 data structures algorithms pmit 6004 operating system pmit 6005 discrete mathematics numerical analysis pmit 6006 database management system pmit 6007 web technology pmit 6008 computer networks data communication pmit 6009 microprocessor interfacing pmit 6010 software engineering pmit 6011 computer architecture pmit 6012 digital logic design pmit 6013 telecommunication system pmit 6014 signal systems pmit 6101 distributed computing pmit 6102 distributed database pmit 6103 advanced database management system pmit 6105 advanced operating system pmit 6106 advanced data structure algorithm pmit 6108 management information system pmit 6109 e commerce web security pmit 6110 advanced software engineering pmit 6112 software project management pmit 6114 advanced web engineering pmit 6115 simulation modeling pmit 6116 information system ethics cyber law pmit 6117 it forensic pmit 6118 computer graphics pmit 6119 graph theory application pmit 6120 embedded system pmit 6202 multimedia asset management system pmit 6203 network security pmit 6205 cellular network planning pmit 6206 fiber optic communication pmit 6207 radio frequency technology pmit 6208 vlsi layout algorithms pmit 6209 modeling of data networks pmit 6210 telecommunication network management pmit 6211 digital signal processing pmit 6212 digital image processing pmit 6213 speech recognition pmit 6214 information coding pmit 6215 tele traffic engineering pmit 6216 telecommunication traffic network planning pmit 6218 advanced networking internet technology pmit 6219 advanced digital communication pmit 6220 advanced optical communication pmit 6221 advanced wireless communication pmit 6222 advanced satellite communication pmit 6301 computational biology pmit 6302 computational geometry pmit 6303 advanced neuroinformatics pmit 6304 health informatics pmit 6305 bio informatics pmit 6306 advanced data mining for biological data pmit 6308 neuronal information discovery pmit 6309 modeling of biological systems pmit 6310 computer vision pmit 6312 robotics and automation pmit 6313 big data analysis pmit 6314 information retrieval pmit 6315 natural language processing | server |
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LLM-Optimizers-Papers | llm optimizers papers awesome https camo githubusercontent com 64f8905651212a80869afbecbf0a9c52a5d1e70beab750dea40a994fa9a9f3c6 68747470733a2f2f617765736f6d652e72652f62616467652e737667 https github com agi edgerunners llm optimizers papers license mit https camo githubusercontent com fd551ba4b042d89480347a0e74e31af63b356b2cac1116c7b80038f41b04a581 68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d677265656e2e737667 https opensource org licenses mit img src https img shields io github last commit tensorflow tensorflow svg img https camo githubusercontent com eafac29b763e18c4d80c680d6a179f348cfa2afbc8d3a45642df19fd580d2404 68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5052732d57656c636f6d652d726564 https camo githubusercontent com eafac29b763e18c4d80c680d6a179f348cfa2afbc8d3a45642df19fd580d2404 68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5052732d57656c636f6d652d726564 must read papers on large language model llm as optimizers and automatic optimization for llms news 2023 10 06 we create this paper list on llm as optimizers and automatic optimization for llms papers 1 rlprompt optimizing discrete text prompts with reinforcement learning mingkai deng jianyu wang cheng ping hsieh yihan wang han guo tianmin shu meng song eric p xing zhiting hu abs https arxiv org abs 2205 12548 emnlp 2022 1 grips gradient free edit based instruction search for prompting large language models archiki prasad peter hase xiang zhou mohit bansal abs https arxiv org abs 2203 07281 eacl 2023 1 automatic prompt optimization with gradient descent and beam search reid pryzant dan iter jerry li yin tat lee chenguang zhu michael zeng abs https arxiv org abs 2305 03495 preprint 2023 05 1 instructzero efficient instruction optimization for black box large language models lichang chen jiuhai chen tom goldstein heng huang tianyi zhou abs https arxiv org abs 2306 03082 preprint 2023 06 1 retroformer retrospective large language agents with policy gradient optimization weiran yao shelby heinecke juan carlos niebles zhiwei liu yihao feng le xue rithesh murthy zeyuan chen jianguo zhang devansh arpit ran xu phil mui huan wang caiming xiong silvio savarese abs https arxiv org abs 2308 02151 preprint 2023 08 1 large language models as optimizers chengrun yang xuezhi wang yifeng lu hanxiao liu quoc v le denny zhou xinyun chen abs https arxiv org abs 2309 03409 preprint 2023 09 1 promptbreeder self referential self improvement via prompt evolution chrisantha fernando dylan banarse henryk michalewski simon osindero tim rockt schel abs https arxiv org abs 2309 16797 preprint 2023 09 1 connecting large language models with evolutionary algorithms yields powerful prompt optimizers qingyan guo rui wang junliang guo bei li kaitao song xu tan guoqing liu jiang bian yujiu yang abs https arxiv org abs 2309 08532 preprint 2023 09 1 self taught optimizer stop recursively self improving code generation eric zelikman eliana lorch lester mackey adam tauman kalai abs https arxiv org abs 2310 02304 preprint 2023 10 1 dspy compiling declarative language model calls into self improving pipelines omar khattab arnav singhvi paridhi maheshwari zhiyuan zhang keshav santhanam sri vardhamanan saiful haq ashutosh sharma thomas t joshi hanna moazam heather miller matei zaharia christopher potts abs https arxiv org abs 2310 03714 preprint 2023 10 1 eureka human level reward design via coding large language models yecheng jason ma william liang guanzhi wang de an huang osbert bastani dinesh jayaraman yuke zhu linxi fan anima anandkumar abs https arxiv org abs 2310 12931 preprint 2023 10 star star history star history chart https api star history com svg repos agi edgerunners llm optimizers papers type date https star history com agi edgerunners llm optimizers papers date | llm llms optimization optimization-algorithms optimizer papers prompting awesome-list review survey large-language-models | ai |
SQL-Employee-Database | employee database sql jpg https github com jbizzlefoshizzle modeling engineering analysis blob master images sql jpg background my task here was a research project on employees of this corporation from the 1980s and 1990s all that remained of the database of employees from this period are six csv files i designed tables to hold data in the csvs imported the csvs into a sql database and queried the data using python pandas jupyter notebook data modeling after inspecting the csvs i sketched out an entity relationship diagram erd of the tables erd png https github com jbizzlefoshizzle modeling engineering analysis blob master images erd 20 entity 20relationship 20diagram png data engineering using the erd i created a table schema for each of the csv files i specified data types primary keys foreign keys and other constraints sql screenshot https github com jbizzlefoshizzle modeling engineering analysis blob master images table schemata png i then imported each csv file into its corresponding sql table data analysis the following are a sample of the queries run listing the employee number last name first name gender and salary of each employee listing the manager of each department with specific information listing all employees in sales including their employee number last name first name and department name in descending order listing the frequency count of employee last names generating a visualization of the data i imported the sql database into pandas using the python sql toolkit and object relational mapper sqlalchemy i used the create engine function to interact directly with the database using jupyter notebook pandas png https github com jbizzlefoshizzle modeling engineering analysis blob master images juypter dependencies png i used select statements to call in the salaries and titles tables from the sql database select https github com jbizzlefoshizzle modeling engineering analysis blob master images select tables png then combined the dataframes in order to better aggregate the data combine https github com jbizzlefoshizzle modeling engineering analysis blob master images finding mean png i then found the mean salary of each job title mean https github com jbizzlefoshizzle modeling engineering analysis blob master images mean png before using the python plotting library matplotlib to create a bar graph visualization bar graph https github com jbizzlefoshizzle modeling engineering analysis blob master images bar graph png | sql sqlalchemy sqlalchemy-python sqlalchemy-database erd jupyter-notebook pandas python | server |
nuclide | nuclide circle status https circleci com gh facebook nuclide tree master svg style shield circle token a805ec51c07ae99799ce548795383dd1f1e4dc76 https circleci com gh facebook nuclide nuclide http nuclide io is a collection of features for atom https atom io to provide ide like functionality for a variety of programming languages and technologies the nuclide license https github com facebook nuclide blob master license has certain limitations around distribution and should not be considered an open source license https opensource org licenses alphabetical however this does not affect your ability to fork the project and make contributions https github com facebook nuclide blob master contributing md documentation the full documentation http nuclide io docs for nuclide provides information for client installation http nuclide io docs editor setup mac http nuclide io docs editor setup mac linux http nuclide io docs editor setup linux windows is not supported http nuclide io docs editor setup windows server installation http nuclide io docs editor setup installing nuclide server getting started feature walkthrough http nuclide io docs quick start getting started building from source http nuclide io docs advanced topics building from source | front_end |
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Smart-Waste-Management-System | smart waste management system designed and developed an embedded system using microcontrollers and python for effective management of waste | os |
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todolist-frontend-vuejs | todolist frontend application donate https img shields io badge donate paypal green svg https www paypal me guillaumebriday https github com guillaumebriday todolist frontend vuejs workflows lint badge svg netlify status https api netlify com api v1 badges 68286221 cb5f 4960 834f 0ae250395090 deploy status https app netlify com sites todolist frontend vuejs deploys frontend for https github com guillaumebriday todolist backend laravel app built for a serie of articles on my blog https guillaumebriday fr if you want to see this project with nuxt js https nuxtjs org i created the same application available here todolist frontend nuxt https github com guillaumebriday todolist frontend nuxt the purpose of this repository is to consume api provide by a laravel application https github com guillaumebriday todolist backend laravel with the vue js https vuejs org javascript front end framework screenshot https raw githubusercontent com guillaumebriday todolist frontend vuejs master screenshot png some of the tools used in this project vue js https vuejs org vue router with lazy loading routes https router vuejs org en vue test utils https github com vuejs vue test utils vuex https github com vuejs vuex axios https github com axios axios moment js https github com moment moment laravel echo https github com laravel echo webpack https webpack js org webpack dev server https github com webpack webpack dev server tailwind css https github com tailwindcss tailwindcss installation development environment requirements docker https www docker com docker compose https docs docker com compose install setting up your development environment on your local machine git clone https github com guillaumebriday todolist frontend vuejs git cd todolist frontend vuejs cp env example env docker compose run rm node yarn docker compose run service ports rm node yarn hot useful commands building the app bash docker compose run rm node yarn dev or docker compose run rm node yarn watch or docker compose run rm node yarn production running eslint bash docker compose run rm node yarn lint running tests bash docker compose run rm node yarn test broadcasting websockets before using websockets you need to set the pusher app key key in your env file you could generate a key on https pusher com https pusher com deploy in production this application is hosted on netlify https www netlify com and available on https todolist guillaumebriday me https todolist guillaumebriday me more details more details are available on my blog post https guillaumebriday fr laravel vuejs faire une todo list partie 1 presentation et objectifs https guillaumebriday fr laravel vuejs faire une todo list partie 1 presentation et objectifs french contributing do not hesitate to contribute to the project by adapting or adding features bug reports or pull requests are welcome license this project is released under the mit http opensource org licenses mit license | webpack vuejs hmr spa vuex tailwindcss axios momentjs docker docker-compose webpack-dev-server vue-router laravel-echo lazy-loading netlify | front_end |
iroha-javascript | npm version https img shields io npm v iroha helpers svg https www npmjs com package iroha helpers minified size https badgen net bundlephobia min iroha helpers https badgen net bundlephobia min iroha helpers iroha 1 3 0 https img shields io badge iroha 1 3 0 green https github com hyperledger iroha tree 1 3 0 iroha helpers some functions which will help you to interact with hyperledger iroha https github com hyperledger iroha from your js program trying an example 1 clone this repository 2 run iroha http iroha readthedocs io en latest getting started 3 run grpc web proxy for iroha https gitlab com snippets 1713665 4 yarn build npx ts node example index ts installation using npm bash npm i iroha helpers using yarn bash yarn add iroha helpers example in an example directory you can find index ts and chain ts files these files demonstrate main features of iroha helpers in the chain ts you can find how to build transaction with several commands and how to deal with batch node js with node js you should create connection to iroha by using queryservice and commandservice from endpoint grpc pb also you should provide grpc credentials as a second argument iroha address address of iroha grpc usually ends on 50051 ex http localhost 50051 javascript import grpc from grpc import queryservice v1client as queryservice commandservice v1client as commandservice from iroha helpers lib proto endpoint grpc pb const commandservice new commandservice iroha address grpc credentials createinsecure browser with browser you should create connection to iroha by using queryservice and commandservice from endpoint pb service iroha address address of grpc web proxy usually ends on 8081 ex http localhost 8081 javascript import commandservice v1client as commandservice queryservice v1client as queryservice from iroha helpers lib proto endpoint pb service const commandservice new commandservice iroha address const queryservice new queryservice iroha address create transaction to create transaction you can call command from list of commands or create your own from scratch or use transaction builder javascript import txbuilder from iroha helpers lib chain new txbuilder createaccount accountname user1 domainid test publickey 0000000000000000000000000000000000000000000000000000000000000000 addmeta admin test 1 send commandservice then res console log res catch err console error res create batch javascript import txbuilder batchbuilder from iroha helpers lib chain const firsttx new txbuilder createaccount accountname user1 domainid test publickey 0000000000000000000000000000000000000000000000000000000000000000 addmeta admin test 1 tx const secondtx new txbuilder createaccount accountname user2 domainid test publickey 0000000000000000000000000000000000000000000000000000000000000000 addmeta admin test 1 tx new batchbuilder firsttx secondtx setbatchmeta 0 sign adminpriv 0 sign adminpriv 1 send commandservice then res console log res catch err console error err commands for usage of any command you need to provide commandoptions as a first argument javascript const commandoptions privatekeys array of private keys in hex format creatoraccountid account id ex admin test quorum 1 commandservice null timeoutlimit 5000 set timeout limit x addassetquantity https iroha readthedocs io en latest develop api commands html add asset quantity x addpeer https iroha readthedocs io en latest develop api commands html add peer x addsignatory https iroha readthedocs io en latest develop api commands html add signatory x appendrole https iroha readthedocs io en latest develop api commands html append role x createaccount https iroha readthedocs io en latest develop api commands html create account x createasset https iroha readthedocs io en latest develop api commands html create asset x createdomain https iroha readthedocs io en latest develop api commands html create domain x createrole https iroha readthedocs io en latest develop api commands html create role x detachrole https iroha readthedocs io en latest develop api commands html detach role x grantpermission https iroha readthedocs io en latest develop api commands html grant permission x removesignatory https iroha readthedocs io en latest develop api commands html remove signatory x revokepermission https iroha readthedocs io en latest develop api commands html revoke permission x setaccountdetail https iroha readthedocs io en latest develop api commands html set account detail x setaccountquorum https iroha readthedocs io en latest develop api commands html set account quorum x subtractassetquantity https iroha readthedocs io en latest develop api commands html subtract asset quantity x transferasset https iroha readthedocs io en latest develop api commands html transfer asset x ompareandsetaccountdetail https iroha readthedocs io en latest develop api commands html compare and set account detail x removepeer https iroha readthedocs io en latest develop api commands html remove peer queries for usage of any query you need to provide queryoptions as a first argument javascript const queryoptions privatekey private key in hex format creatoraccountid account id ex admin test queryservice null timeoutlimit 5000 set timeout limit x getaccount https iroha readthedocs io en latest develop api queries html get account x getblock https iroha readthedocs io en latest develop api queries html get block x getsignatories https iroha readthedocs io en latest develop api queries html get signatories x gettransactions https iroha readthedocs io en latest develop api queries html get transactions x getpendingtransactions https iroha readthedocs io en latest develop api queries html get pending transactions x getaccounttransactions https iroha readthedocs io en latest develop api queries html get account transactions x getaccountassettransactions https iroha readthedocs io en latest develop api queries html get account asset transactions x getaccountassets https iroha readthedocs io en latest develop api queries html get account assets x getaccountdetail https iroha readthedocs io en latest develop api queries html get account detail x getassetinfo https iroha readthedocs io en latest develop api queries html get asset info x getroles https iroha readthedocs io en latest develop api queries html get roles x getrolepermissions https iroha readthedocs io en latest develop api queries html get role permissions x getpeers https iroha readthedocs io en latest develop api commands html remove peer x fetchcommits https iroha readthedocs io en latest develop api queries html fetchcommits known issues please be careful api might and will change todo add tests integration tests with iroha add more documentation | iroha javascript-library distributed-ledger blockchain hyperledger dlt | blockchain |
onesaitplatform-edge | onesaitplatform edge technology of containers docker to be used in the edge and which send information to onesait platform | server |
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ml-tutorial | machine learning algorithms implementations k means and gaussian mixture model gmm gmm conditional random field crf crf connectionist temporal classification ctc ctc gumbel distribution gumbel probabilistic linear discriminant analysis plda plda gaussian process regression gpr gp | machine-learning | ai |
azure-iot-starter-kits | page type sample description code and instructions for deploying code to azure iot starter kits languages python json products azure azure iot hub azure iot starter kits this repository contains code and instructions for deploying code to azure iot starter kits each project is a proof of concept and designed as a learning experience projects are specific to a manufacturer s device manufacturers projects exist for the following manufacturers seeed https github com azure samples azure iot starter kits tree master seeed getting started start with the readme md for each project additional resources microsoft azure iot edge https azure microsoft com en us services iot edge azure iot edge documentation https docs microsoft com en us azure iot edge | azure-iot azure-iot-edge raspberry-pi-3 raspberry-pi-camera raspberry-pi-iot | server |
pagenodes | pagenodes gitter https img shields io gitter room nwjs nw js svg https gitter im monteslu pagenodes utm source badge utm medium badge utm campaign pr badge utm content badge you can check out a working example of pagenodes here https pagenodes com pagenodes pagenodes is an in browser fork of node red http www node red org node red it requires no back end server and is 100 browser based if you are going to host this many modules will need to be hosted via https or you can run it locally for full functionality screenshot screenshot png pagenodes is currently in a heavy state of development and we are working on a roadmap to follow for future implementations in its current form it offers a large amount of functionality with very little set up overview with pagenodes our goal is to give the user a simple browser based iot network this gives the development of the workflow to the user without relying on a third party network basic functionality can be as simple as relaying an image from the camera to chrome notification center scaling up to allowing a robotics protocol like johnny5 http johnny five io johnny5 the ability to control robotics via the web browser install building pagenodes requires a local node version 6 install git clone git github com monteslu pagenodes git cd pagenodes npm install npm run build running locally npm run build npm run start this will open up a webserver locally with ecstatic on port 1337 requirements for bluetooth low energy ble control click here https github com webbluetoothcg web bluetooth blob gh pages implementation status md chrome requirements to see what is currently supported for the ble nodes in pagenodes currently bluetooth is enabled for chrome os only but other browsers are working to implement them as well this site has a list of devices currently compatible setting up a basic flow setting up a simple flow with pagenodes is pretty easy the ui is the standard drag and drop interface from node red however we implement a range of new functionality setting up a timestamp delivery 1 drag the inject tab from the left column onto the sheet 2 drag the debug tab onto the sheet 3 click and drag from the node on the right side of the timestamp module to the node on the left hand side of the msg payload module the flow should look like this base flow http snag gy 2skbf jpg 4 next click on the deploy http snag gy siigx jpg button to start the flow any time there is a change to the flow you must re deploy 5 click the grey square to the left of the timestamp node in order to activate it you can switch to the debug panel on the right side of the screen in order to see the actual results almost all of the nodes in the left column will have a small readme in the info tab explaining how they work this will give you the base functionality need in order to learn how the nodes work credits contributors node red team https github com node red node red node red team iced dev http www iceddev com iced dev copyright license copyright 2013 2015 ibm corp under the apache 2 0 license https github com node red node red blob master license apache 2 0 license | server |
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Blockchain-Resource | h1 align center h1 p align center a href https school appworks tw img src appworks school l 550x279 png a p p align center appworks school solidity p p align center p table tr td style white space nowrap a href section1 readme md a td td solidity td tr tr td style white space nowrap a href section2 readme md a td td td tr tr td style white space nowrap a href section3 readme md defi a td td defi td tr table | blockchain |
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chainify | chainify img align right src https raw githubusercontent com liquality chainabstractionlayer master liquality logo png height 80px pre pre chainify is a flexible modular library for developing disintermediated solutions across different blockchains the repository uses yarn workspaces https yarnpkg com features workspaces for fast reliable and secure dependency management the build system is using turborepo https turborepo org packages package version chainify bitcoin packages bitcoin chainify https img shields io npm v chainify bitcoin style for the badge https npmjs com package chainify bitcoin chainify bitcoin ledger packages bitcoin ledger chainify https img shields io npm v chainify bitcoin ledger style for the badge https npmjs com package chainify bitcoin ledger chainify client packages client chainify https img shields io npm v chainify client style for the badge https npmjs com package chainify client chainify errors packages errors chainify https img shields io npm v chainify errors style for the badge https npmjs com package chainify errors chainify evm packages evm chainify https img shields io npm v chainify evm style for the badge https npmjs com package chainify evm chainify evm contracts packages evm contracts chainify https img shields io npm v chainify evm contracts style for the badge https npmjs com package chainify evm contracts chainify evm ledger packages evm ledger chainify https img shields io npm v chainify evm ledger style for the badge https npmjs com package chainify evm ledger chainify hw ledger packages hw ledger chainify https img shields io npm v chainify hw ledger style for the badge https npmjs com package chainify hw ledger chainify logger packages logger chainify https img shields io npm v chainify logger style for the badge https npmjs com package chainify logger chainify near packages near chainify https img shields io npm v chainify near style for the badge https npmjs com package chainify near chainify solana packages solana chainify https img shields io npm v chainify solana style for the badge https npmjs com package chainify solana chainify terra packages terra chainify https img shields io npm v chainify terra style for the badge https npmjs com package chainify terra chainify types packages types chainify https img shields io npm v chainify types style for the badge https npmjs com package chainify types chainify utils packages utils chainify https img shields io npm v chainify utils style for the badge https npmjs com package chainify utils install dependencies bash yarn install build all packages bash yarn build run all tests bash yarn test release a new version bash yarn changeset choose the version bump major minor or patch add change summary yarn version review changes yarn build force yarn release yarn tag license mit license md | blockchain ethereum bitcoin rpc ledger abstraction-layer npm standard browser node | blockchain |
anlp21 | anlp21 course materials for applied natural language processing info 256 fall 2021 uc berkeley syllabus http people ischool berkeley edu dbamman info256 html notebook description 1 words evaluatetokenizationforsentiment the impact of tokenization choices on sentiment classification 1 words exploretokenization different methods for tokenizing texts whitespace nltk spacy regex 1 words tokenizeprintedbooks design a better tokenizer for printed books 1 words text complexity implement type token ratio and flesch kincaid grade level scores for text 2 compare chisquare mann whitney tests explore two tests for finding distinctive terms 2 compare log odds ratio with priors implement the log odds ratio with an informative and uninformative dirichlet prior 3 dictionaries dictionarytimeseries plot sentiment over time using human defined dictionaries 3 dictionaries empath explore using empath dictionaries to characterize texts 4 embeddings distributionalsimilarity explore distributional hypothesis to build high dimensional sparse representations for words 4 embeddings wordembeddings explore word embeddings using gensim 4 embeddings semaxis implement semaxis for scoring terms along a user defined axis e g positive negative concrete abstract hot cold 4 embeddings bert explore the basics of token representations in bert and use it to find token nearest neighbors 4 embedings sequenceembeddings use sequence embeddings to find tv episode summaries most similar to a short description 5 eda wordsenseclustering inferring distinct word senses using kmeans clustering over bert representations 5 eda haiku kmeans explore text representation in clustering by trying to group haiku and non haiku poems into two distinct clusters | ai |
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prototype-compressor | this project is not meant to be contributed to or used made in an academic context steps 1 check if all modules are installed pip command can be used check if all other dependent files are in the same directory including data folder with the dataset numpy matplotlib imageio json all others that might come up as necessary how to install run the following in an admin elevated command line for example pip install numpy 2 change the main py file as you want there are 4 default dataset images each one has 2 methods of encoding lzw and rlehuff you just need to uncomment the one you want to encode decode lzw encodings accept a chunk size value but there is a default value which individually have the best pre calculated cost benefit 3 run the main py file no args are accepted all stuff must be handled in the main py code example on the command line python main py 3 enjoy the output check if any file was outputted and created probably 4 this works any problem question suggestion send an email to one of the following miguel dinis miguelbarroso student dei uc pt edgar duarte edgarduarte student dei uc pt rodrigo ferreira rodrigoferreira student dei uc pt | compression-algorithm python | server |
AdeKunle | adekunle about me passionate and dedicated ios software engineer with a proven track record of crafting top notch applications my unwavering commitment to the core principles and ethical standards of engineering drives me to deliver exceptional results armed with a wealth of expertise in implementing cutting edge architectures and design patterns i continuously strive for excellence and eagerly seek new knowledge i go above and beyond by actively participating in the swift london and nslondon networking groups where i not only share my insights but also expand my skill set proficient in swift uikit and swiftui i excel at collaborating with cross functional teams to create and sustain impactful mobile solutions my enthusiasm for software engineering is unwavering and i am poised to embrace new challenges and learn more in this ever evolving field | os |
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station | massastation an entrance to the massa blockchain ci https github com massalabs station actions workflows api yml badge svg branch main https github com massalabs station actions workflows api yml query branch 3amain codecov https codecov io gh massalabs station branch main graph badge svg token 592lpzlc4m https codecov io gh massalabs station go report card https goreportcard com badge github com massalabs station https goreportcard com report github com massalabs station install massastation to install massastation please follow the instructions available in the installation guide installation md contributing we welcome contributions of all kinds from bug reports to feature requests and code contributions if you re interested in contributing to massastation please make sure to read our contribution guidelines contributing md for detailed instructions on how to get started going further modules plugins massastation is a module manager it enables everyone to use create and enjoy different modules to activate features to the massa blockchain install a module you can install modules that were validated by massa labs from the module store https station massa web store the module will be automatically installed and activated after a few seconds directly in your station browse massastation store to find the module you need create a module if you are working on a module you can install it manually to test it using massastation 1 get the zip file download url of the module you want to install make sure this url matches the version of massastation you are using your computer os and architecture 2 paste the url in the install a plugin field of the module manager page https station massa web store 3 click on the install button note a complete guide on how to create a module will be available soon | blockchain |
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Text-to-SQL-Generation | text to sql generation researching how different prompt engineering and self correction techniques affect llms text to sql capabilities can llms be properly interfaced to relational databases | server |
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cosmos-snapshots | cosmos snapshots list of snapshots https snapshots c29r3 xyz akash mainnet https github com c29r3 cosmos snapshots blob main instructions akash md mirrors https gist githubusercontent com c29r3 1a8a951008b19aaa424d63d15cf528d8 raw 910b3ab34bcceb2b3e9bca0765a92461bafc53f8 akash snapshot mirrors sentinel mainnet https github com c29r3 cosmos snapshots blob main instructions sentinel md desmos mainnet https github com c29r3 cosmos snapshots blob main instructions desmos md stargaze mainnet https github com c29r3 cosmos snapshots blob main instructions stargaze md agoric mainnet https github com c29r3 cosmos snapshots blob main instructions agoric md mirrors http 162 255 116 68 snapshots privded by min min 6706 https snapshots stakecraft com provided by alex novy http snapshots alexvalidator com provided by bambarello https github com bambarello oasis mainnet https github com bambarello cosmos snapshots blob main oasis md ixo mainnet regen mainnet stargaze mainnet juno mainnet axelar mainnet sifchain betanet desmos mainnet evmos mainnet gravity bridge mainnet omniflix mainnet umee mainnet cosmos mainnet kichain mainnet https services staketab com provided by staketab https github com staketab axelar axelar testnet 1 axelar testnet 2 cosmos desmos evmos gravity bridge omniflix osmosis sifchain stargaze umee https snapshots stake2 me provided by danil ushakov https github com k0kk0k agoric akash certik gravity bridge ixo osmosis sifchain stargaze https snapshot notional ventures provided by notional https github com notional labs cosmoshub osmosis juno starname regen akash sentinel e money terra ixo sifchain likecoin kichain cyber cheqd stargaze band chihuahua kava bitcanna konstellation omniflixhub vidulum provenance dig gravity bridge comdex cerberus bitsong assetmantle fetchai run your own backup server with snapshots install requirements bash sudo apt update sudo apt install curl git docker io y clone github repo git clone https github com c29r3 cosmos snapshots git cd cosmos snapshots create folder for snapshots mkdir home snapshots start nginx via docker bash cd home docker run name snapshots restart always v pwd default conf etc nginx conf d default conf v pwd snapshots root p 80 80 d nginx fill in the variables in the file akash snapshot sh chain id akashnet 2 snap path home snapshots akash log path home snapshots akash log txt data path home akash data service name akash service create new snapshot akash snapshot sh check snapshot bash my ip curl s 2ip ru curl s http my ip automation you can add script to the cron cron start every day at 00 00 0 0 bin bash c root akash snapshot sh | cosmos snapshots akash sifchain osmosis desmos sentinel juno oasis kichain stargaze agoric | blockchain |
blok | tracking protection test pilot experiment aka blok build status https travis ci org mozilla blok svg branch master https travis ci org mozilla blok coverage status https coveralls io repos github mozilla blok badge svg https coveralls io github mozilla blok available on test pilot https img shields io badge available on test pilot 0996f8 svg https testpilot firefox com experiments tracking protection web extension https developer mozilla org en us add ons webextensions re implementation of tracking protection for firefox https support mozilla org en us kb tracking protection pbm we will run this add on thru test pilot experimentation https testpilot firefox com experiments to measure web content breakage collect user feedback when we have breakage data and user feedback we will change the tracking protection implementation so users get better web experience with tracking protection requirements firefox 48 run it 1 download the latest xpi https github com mozilla blok tree master web ext artifacts 2 in firefox open file and select the xpi when the add on blocks tracker requests you will see a tracking protection pageaction icon pageaction screenshot docs page action screenshot png when you click the icon you will see a pop up so you can report broken working pages or toggle tracking protection on or off pop up screenshot docs pop up screenshot png development 1 clone this repo locally 2 cd blok 3 npm install 4 npm run bundle running the code this add on depends on web ext https developer mozilla org en us add ons webextensions getting started with web ext using web ext start a version of firefox running the add on like so node modules bin web ext run source dir src firefox binary path to firefox 49 binary development environment add on development is better with a particular environment https developer mozilla org en us add ons setting up extension development environment one simple way to get that environment set up is to install the devprefs add on https addons mozilla org en us firefox addon devprefs you can make a custom firefox profile that includes the devprefs add on and use that profile when you run the code in this repository profileeditor screenshot docs profile editor screenshot png 1 make a new profile by running path to firefox binary no remote p new profile name which launches the profile editor create profile name it whatever you wish e g blok dev and store it in the default location it s probably best to deselect the option to use without asking since you probably don t want to use this as your default profile 2 once you ve created your profile click start firefox a new instance of firefox should launch go to tools add ons and search for devprefs install it quit firefox 3 now you have a new vanilla firefox profile with the devprefs add on installed you can use your new profile with the code in this repository like so node modules bin web ext run source dir src firefox binary path to firefox 49 binary firefox profile new profile name check out the browser toolbox https developer mozilla org en us docs tools browser toolbox for more information about debugging add on code testing requires node 6 npm test distributing to distribute you will need amo access credentials see the web ext docs 1 use web ext sign https developer mozilla org en us add ons webextensions web ext command reference web ext sign faq footnotes appendices etc how does this compare with ublock privacy badger ghostery etc the primary goal of this add on experiment is to create a feedback loop for tracking protection users to provide data on problems breakage so we mozilla can learn how to improve tracking protection technologies in ways that maximize user privacy and minimize web breakage the other privacy add ons are great tools as well the focus on reporting website problems breakages is the key difference here in fact we deferred a number of other features in favor of simplicity and to make the feedback mechanism the primary focus of the add on read more on the discourse forum https discourse mozilla community org c test pilot tracking protection how do i run the add on without web ext 1 go to about config and set xpinstall signatures required to false 2 go to about debugging 3 click load temporary add on 4 select this repo s src manifest json file | front_end |
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