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arbory | packagist https img shields io packagist v arbory arbory svg https packagist org packages arbory arbory scrutinizer code quality https scrutinizer ci com g arbory arbory badges quality score png b master https scrutinizer ci com g arbory arbory branch master build status https travis ci org arbory arbory svg branch master https travis ci org arbory arbory styleci https github styleci io repos 44740139 shield branch master style flat https github styleci io repos 44740139 coverage status https coveralls io repos github arbory arbory badge svg branch master https coveralls io github arbory arbory branch master installation create new laravel project bash composer create project prefer dist laravel laravel 8 0 my project go to project root bash cd my project require arbory package bash composer require arbory arbory fill in database info bash vi env run installer and follow instructions bash php artisan arbory install that s it bash visit http localhost admin usage registering new pages php page register app pages textpage class fields function fieldset fieldset fieldset add new arbory base admin form fields richtext text routes function route get app http controllers textpagecontroller class index name index registering new admin modules php admin modules register app http controllers admin textcontroller class working with nodes the node repository is used to ensure that the website only displays active nodes to the user php currentnode app arbory base nodes node class nodes app arbory base repositories nodesrepository class returns only the active children of the current node nodes findunder currentnode validation validation rules https laravel com docs 5 8 validation can be attached to any field like so php form addfield new text title setrules required validating translations php form addfield new translatable new text title rules required custom validators arbory require one localized at least one translation exists for this field arbory file required file has been uploaded or is being passed in request fields object relation create a relation to another model php new arbory base admin form fields objectrelation field name arbory base nodes node class to limit the amount of relations the user can select a third argument can be passed relation fields limited to a single model will be rendered more compactly php new objectrelation field name arbory base nodes node class 1 single relation compact view new objectrelation field name arbory base nodes node class 10 an optional depth parameter can be passed automatically set for the node relation which adds visual nesting to the field items php new objectrelation field name arbory base nodes node class setindentattribute depth items can be grouped by an attribute php getname function arbory base nodes node model return class basename model content type new objectrelation field name arbory base nodes node class groupby content type getname settings register a setting with optional nesting and retrieve it php return my letter to a friend subject hello php settings has my letter to true settings get my letter to a friend defining a field type php return my setting key value my setting value type arbory base admin form fields compactrichtext class file settings php return my setting file value null type arbory base admin form fields arboryfile class my setting image value null type arbory base admin form fields arboryimage class translatable settings php return hello type arbory base admin form fields translatable class value type arbory base admin form fields compactrichtext class value en hello lv sveiks generate admin user bash php artisan arbory create user contributing to submit scss js changes you must rebuild dist directory containing compiled assets run npm run prod to do that coding style use psr 1 2 js we use airbnb coding style for both js and sass links below to install the built in inspections for phpstorm follow these instructions https www themarketingtechnologist co how to get airbnbs javascript code style working in webstorm https www themarketingtechnologist co how to get airbnbs javascript code style working in webstorm note when specifying jscs package in the configuration window it has to be installed locally within the project global installation will not work phpstorm installs packages globally customization rules can be modified either in separate files jscsrc or jscs json in project s root directory or project s package json file jscsconfig section links js https github com airbnb javascript https github com airbnb javascript css sass https github com airbnb css https github com airbnb css | front_end |
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react-native-design-utility | react native design utlity stable release https img shields io npm v react native design utility svg https npm im react native design utility i ve been using tailwind https github com tailwindcss tailwindcss lately for the web loved it but i didn t find any solution like this for react native so i build one who look like it but more for react native design styling i ve add some text utility like capitalize capitalizeeach thousand etc you pass props and this is pass to the stylesheet so this will not affect the perfomance when i take a look back on my old project lot of the time because importing everytime my constants and metrics file become painful i make use of hardcoded value as you know this is not the best way to make an app easier to maintain if value need to be change all this place where i did that need to ne update manually all my margin and padding size was the bigger one now here just by providing the name as a props i make sure they all follow no import nothing just like if you install a design framework etc but now you create your own don t worry all props here have fallback you don t want to use a value for your margin right you can just do mr 20 this will add 20 for the marginright style you don t see what you need here you can make use of the style props and add customstyle goal of this library the first goal of this library it s add kind of a design system yo your app this will be more easier in the long run to manage all your styling this will make sure your app is consistent all around all your margin padding value are the same etc also this will remove lot of typing i feel it easier to wrote design cause i can do this right inside my view component and not jumping around my style object if you like inline style this is will be the same so when you start working in your app the first thing to do would be to generate the theme see custom style for this and update it with the value provided by your designer or those see in the sketch photoshop file why not use constants file and import it here you don t even need that i make use of the context api and the two component provided receive the theme as a props so no more 100 files with import color etc you pass the props and the component do the rest installation yarn add react native design utility you must add the provider in your root component js import utilitythemeprovider from react native design utility class app extends component render return utilitythemeprovider rest of your app utilitythemeprovider for initialize the theme you can run npx react native design utility init by default the theme is this js const color black 212121 greydarkest 242424 greydarker 616161 greydark 757575 grey 9e9e9e greylight bdbdbd greylighter e0e0e0 greylightest eeeeee white fff reddarkest b71c1c reddarker c62828 reddark d32f2f red f44336 redlight ef5350 redlighter e57373 redlightest ef9a9a bluedarkest 0d47a1 bluedarker 1565c0 bluedark 1976d2 blue 2196f3 bluelight 42a5f5 bluelighter 64b5f6 bluelightest 90caf9 purpledarkest 4a148c purpledarker 6a1b9a purpledark 7b1fa2 purple 9c27b0 purplelight ab47bc purplelighter ba68c8 purplelightest ce93d8 greendarkest 1b5e20 greendarker 2e7d32 greendark 388e3c green 4caf50 greenlight 66bb6a greenlighter 81c784 greenlightest a5d6a7 export const theme text size sm 14 base 16 md 18 lg 20 xl 24 weight light 200 normal 400 bold 700 spacing tight 0 8 normal 1 wide 1 5 lineheight none 1 tight 1 25 normal 1 5 large 2 fonts base null color space xs 8 sm 16 md 24 lg 36 xl 40 radius xs 6 sm 10 base 14 lg 20 xl 30 opacity none 0 low 0 3 demi 0 5 high 0 8 base 1 shadows shadowcolor color black shadowoffset width 0 height 0 shadowopacity 1 shadowradius 1 shadowcolor color black shadowoffset width 0 height 0 shadowopacity 0 6 shadowradius 5 borders borderwidth 1 bordercolor color black borderwidth 2 bordercolor color black borderwidth 5 bordercolor color black button disabled opacity 0 5 color can be any string as you can see this give you a good amount of basic style size and other stuff the space object is the one use for both the margin and the padding custom theme for initialize the theme you can run npx react native design utility init this will come with some basic space etc also this library provide lot of custom color coming from material color https www materialpalette com colors you can take a look of the basic theme provide here https github com equimper react native design utility blob master src theme ts add the theme to the provider as a props js import utilitythemeprovider from react native design utility import theme from theme class app extends component render return utilitythemeprovider theme theme rest of your app utilitythemeprovider after you can custom any color or size etc dont play too much with the key but you have freedom on the value usage js import box text from react native design utility class mycomponent extends component render return box box w 20 bg red p sm mb lg text border 1 size lg color bluedarker center bold capitalizeeach lorem ipsum dolor sit amet consectetur adipisicing elit quo officiis quae deserunt exercitationem beatae nam atque nesciunt dolore animi eum magni doloremque velit culpa accusamus voluptatem vero quos ea incidunt text box box w 1 bg blue mb sm center py sm rows 1 2 1 dir row box bg reddarker self center text size xl bold capitalize hello text box box bg green text size xl bold thousand hell ya 5000 text box box bg red text size xl deco underline bold uppercase boom text box box box border 2 center h 200 w 1 2 bg red box h 1 3 w 1 2 bg blue f 1 box h 1 3 w 1 2 bg green box box circle 100 avatar shadow 1 bg black mb sm image source uri https pbs twimg com profile images 1022224321740263424 s0lj7ph1 400x400 jpg box box border 2 align end justify center h 200 w 100 bg red box bg blue f 1 box bg green f 2 box box you can pass all the props available for both view and text custom style you can pass any style props if this is not existing example js box size xl style borderbottomleftradius 1 import the type you can import the type for both component and extends your interface or type if you want js import utilityboxprops utilitytextprops from react native design utility interface iprops extends utilityboxprops const mycp props iprops whatever here some example circle and avatar utility you want to have a simple avatar in your app so you pass an image to the box but now you want it to be round etc with the box component you can do this way js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box avatar circle 100 shadow 1 image source uri avatarurl box box utilitythemeprovider here you pass the props avatar to let know the box this will have an image type component as a children after this you can put circle with a number who is the value of the height and the width of the view this is will be pass down to the child result docs img roundedavatar png flex rows utlity a box can receive a rows props this one can be an array of number this will provided flex to his children depend of the indexof inside the array example here we pass an array of only 1 this way each child receive it if indexof is not find 1 is provided so that s why you can do this way here js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box shadow 0 bg white w 95 h 200 dir row rows 1 align center box center text size lg element 1 text box box center text thousand size lg 5000 text box box center text capitalize size lg element 3 text box box box utilitythemeprovider result docs img flexrows png another example if you provide rows 1 2 this will give you this kind of behavior js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box shadow 0 bg white w 95 h 200 dir row rows 1 2 align center box bg purple center text size lg element 1 text box box bg red center text thousand size lg 5000 text box box box utilitythemeprovider result docs img flexrowswithdiffsize png text manipulation utilty center js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box bg white p sm w 90 shadow 0 text center lorem ipsum dolor sit amet consectetur adipisicing elit consequuntur corrupti voluptatibus dolor molestias cumque veritatis quibusdam molestiae labore harum dignissimos ad numquam minus quo sequi in voluptatum aspernatur ut molestias text box box utilitythemeprovider result docs img textcenter png capitalizeeach js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box bg white p sm w 90 shadow 0 text center capitalizeeach lorem ipsum dolor sit amet consectetur adipisicing elit consequuntur corrupti voluptatibus dolor molestias cumque veritatis quibusdam molestiae labore harum dignissimos ad numquam minus quo sequi in voluptatum aspernatur ut molestias text box box utilitythemeprovider result docs img textcapitalizeeach png capitalize js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box bg white p sm w 90 shadow 0 text center capitalize hello world text box box utilitythemeprovider result docs img textcapitalize png thousand js export default class app extends react component render return utilitythemeprovider theme theme box f 1 center box bg white p sm w 90 shadow 0 text center thousand 1000000 text box box utilitythemeprovider result docs img textthousand png components box props value description m xs sm md lg xl or any number margin mt xs sm md lg xl or any number margintop mb xs sm md lg xl or any number marginbottom mr xs sm md lg xl or any number marginright ml xs sm md lg xl or any number marginleft my xs sm md lg xl or any number marginvertical mx xs sm md lg xl or any number marginhorizontal p xs sm md lg xl or any number padding pt xs sm md lg xl or any number paddingtop pb xs sm md lg xl or any number paddingbottom pr xs sm md lg xl or any number paddingright pl xs sm md lg xl or any number paddingleft py xs sm md lg xl or any number paddingvertical px xs sm md lg xl or any number paddinghorizontal center boolean center element with flex border number give border at index null will remove any border shadow number give shadow at index h number fraction or string height w number fraction or string width bg string backgroundcolor o none low demi high base any string or any number opacity dir col col reverse row row reverse flexdirection align start end center stretch baseline alignitems justify start end center between around evenly justifycontent self start end center auto stretch baseline alignself flexwrap wrap nowrap flexwrap f number flex value rows array of number add flex value to child box at indexof default 1 if not provide circle number create a circle with the size provided avatar boolean if child is one image will put this one in circle must provided circle props also radius xs sm base lg xl number boolean string borderradius if true default is base position relative absolute position top number top bottom number bottom left number left right number right style stylesheet any other style text props value description m xs sm md lg xl or any number margin mt xs sm md lg xl or any number margintop mb xs sm md lg xl or any number marginbottom mr xs sm md lg xl or any number marginright ml xs sm md lg xl or any number marginleft my xs sm md lg xl or any number marginvertical mx xs sm md lg xl or any number marginhorizontal p xs sm md lg xl or any number padding pt xs sm md lg xl or any number paddingtop pb xs sm md lg xl or any number paddingbottom pr xs sm md lg xl or any number paddingright pl xs sm md lg xl or any number paddingleft py xs sm md lg xl or any number paddingvertical px xs sm md lg xl or any number paddinghorizontal center boolean text align center left boolean text align left right boolean text align right border number give border at index color string color default black in theme size sm base md lg xl any string or any number fontsize default is base weight string fontweight default is normal bold boolean fontweight bold in theme default is normal normal boolean fontweight normal in theme default is normal light boolean fontweight light in theme default is normal lineh none tight normal large any number or any string lineheight ls tight normal wide any string or any number letter spacing o none low demi high base any string or any number opacity uppercase boolean uppercase all letters lowercase boolean lowercase all letters capitalize boolean capitalize only first letter of first word capitalizeeach boolean capitalize each first letter of every word thousand boolean add a comma to a number when more than 3 zero italic boolean fontstyle italic deco underline none through underline through textdecorationline font string fontfamily if fonts object exist with base this will be the default style stylesheet any other style todo x add alignself to box add hitslop utility to box update readme with better example and better docs create clone app for show how to use this lib | design-system react-native react-native-component typescript tailwindcss | os |
ENCE461-Wacky-Racers-Assignment | wacky racers this contains a directory structure for your assignment doc documentation hw hardware src source code assignment instructions the instructions https eng git canterbury ac nz wacky racers wacky racers raw master doc instructions instructions pdf are in a pdf file stored in this repository you ll also get a copy when you fork the project downloading your group leader should create a forked copy of the wacky racers git project and then add the other group members to the project this can be done by 1 go to https eng git canterbury ac nz wacky racers wacky racers 2 click fork button this will create your own copy of the repository 3 click on the settings menu then click the expand button for sharing and permissions change project visibility to private 4 click on the members menu and add group members as developers 5 using bash terminal or other useful shell enter the command git clone git eng git canterbury ac nz your userid wacky racers git note this requires that you have setup ssh keys on your machine and added them to your account see https docs gitlab com ee ssh generating a new ssh key pair for instructions on generating an ssh key pair or if you don t want to set up your ssh keys you can clone using the https protocol we recommend the above method as it allows automatic authentication without entering your password every single time you want to make changes git clone https eng git canterbury ac nz your userid wacky racers git 6 add the original wacky racers repository as upstream this will allow you to pull updates bug fixes we make during the assignment cd wacky racers git remote add upstream https eng git canterbury ac nz wacky racers wacky racers git 7 if we add more demo code or tweak the instructions you can pull the updated stuff using git pull upstream master visual studio code vs code is a modern and highly versatile text editor with the right extensions it can be used to develop code for just about anything this project has been configured for vs code on the esl computers but its relatively easy to modify it to work on a home computer be it windows linux or mac for the simplest use simply go file open folder and point it at the wacky racers repository this will give you access to the build tools ctrl shift b that have been setup these must be run from inside a program i e ledflash1 c finally opening a program and pressing f5 will launch a debugging session that will allow the use of breakpoints and variable inspection when building your programs the board configuration variable must be set in vs code this is done by choosing your c configuration bottom right of the window which by default will be either hat or racer as a side note the compilation and debugging requires the installation of two vs code extensions c c microsoft native debug web freak vs code should automatically prompt you to install these when you open the wacky racers directory configuration the src boards directory contains a number of configurations one for the hat and racer boards each configuration directory contains three files board mk this is a makefile fragment that specifies the mcu model optimisation level etc target h this is a c header file that defines the pio pins and clock speeds config h this is a c header file that wraps target h it s purpose is for porting to different compilers you will need to edit the target h file for your board compilation compilation requires a bare metal arm gcc toolchain arm none eabi see http ecewiki elec canterbury ac nz mediawiki index php arm toolchain for installation details compilation is performed using makefiles since each application requires many files rather than having large makefiles a heirarchy of makefile fragments is employed dependencies are automatically generated a board description can be selected with the board environment variable this can be defined for each command for example board racer make program alternatively this can be defined for a session export board racer make program before you can flash any code to the mcu you need to disable the write protection bit in the non volatile memory this will need to be done once and only needed again if you erase your flash memory make bootflash each of the makefiles has the following phony targets all compile the application program compile the application and download to the mcu you need openocd running as a daemon debug start the debugger gdb you need openocd running as a daemon reset reset your mcu you need openocd running as a daemon clean delete the executable and object files this is necessary when compiling for a different board bootflash this needs to done once to set a bit in the sam4s so that it will run your application and not its bootloader on reset demo applications these are found in the test apps directory these are board independent and thus the specific board must be selected with the board environment variable note when debugging hardware it is much easier to use a small test program rather than a large application there a number of variations of each test program as a rule the larger the number the fancier the level of abstraction i suggest trying the following programs ledflash1 you will need to correctly define led1 pio in boards xxxx target h if this program does not run see http ecewiki elec canterbury ac nz mediawiki index php sam4s getting started pwm test1 you will need to edit pwm test1 c and define pwm1 pio for an available pwm pin this program is useful for checking that the phase locked loop pll is correctly configured to generate the correct cpu clock frequency you should see a 100 khz square wave using an oscilloscope connected to the specified pio pin provided it can be driven from the pwm peripheral usb vbus test1 this will turn a led on if the usb vbus signal is detected when a usb cable is connected to a computer it is a simple example of using a pio as an input usbserial hello1 this will repeatedly send hello world to a computer via the usb cdc protocol if you have connected a usb cable to a computer running linux the linux dmesg command should say someting about ttyacm0 detected if not see the troubleshooting section for more details see http ecewiki elec canterbury ac nz mediawiki index php usb cdc adc test1 this reads from the ad5 and ad6 analogue inputs and prints the values to a computer with the usb cdc protocol troubleshooting if nothing runs see http ecewiki elec canterbury ac nz mediawiki index php sam4s getting started usb if usb does not work check boards xxxx target h that the definition of udp vbus pio is correct for your board the default is define udp vbus pio pa5 pio note the usb driver fires up when this pio pin goes high in response to the usb connector being plugged in to a computer if there is no vbus detection do not define this macro watchdog timers by default the watchdog timers are disabled to enable them use include mcu h mcu watchdog enable to reset the watchdog in your main loop use mcu watchdog reset i o i o is non blocking so if data is not available the functions return without waiting the underlying drivers use the posix i o model coding style for the curious the gnu c coding style is used i worked as a contractor for the usa company cygnus solutions taken over by redhat as a compiler engineer working on the gnu c compiler gcc the first rule when working as a programmer for a company is to follow the required coding style my text editor emacs is set up to default to this style | os |
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posh | now maintained here https github com denistakeda posh posh posh is a clojurescript react library that lets you use a single datascript https github com tonsky datascript database to store your app state components access the data they need to render by calling datascript queries with q or pull and are only updated when the query changes transact is used within components to change the global state if you are familiar with datomic you will find posh incredibly easy to use if not it s worth learning because of the power and versatility it will give your components posh is now self contained and can be used with multiple front ends see posh core such as reagent rum or quiescent only reagent is currently well supported by posh and is the focus of this documentation posh reagent uses reagent https github com reagent project reagent and can be integrated with your current reagent project because it uses a single database to store app state like om https github com omcljs om or re frame https github com day8 re frame it is fitting to write large extensible apps and reusable components with the added benefit of being much simpler to use and having a more expressive data retrieval and state updating syntax posh is also very fast because the in component data queries only run when the database is updated with relevant data found by pattern matching on the tx report for example below is a component that displays a list of a person s age name and weight the component will only re render when something in the database changed an attribute of the person id entity defn person conn person id let p pull conn person id ul li person name p li person age p li person weight p resources posh chat room on gitter https gitter im mpdairy posh i am also currently looking for contract work or employment on a project that uses posh examples posh todo list https github com mpdairy posh todo a todo list with categories edit boxes checkboxes and multi stage delete buttons trashy live demo http otherway org posh todo projects using posh zetawar http www zetawar com a highly customizable open source turn based tactical strategy web game written in clojurescript datsys https github com metasoarous datsys a web framework usage start a reagent project and include these dependencies clj posh 0 5 5 require in reagent app files clj ns example require reagent core as r posh reagent refer pull q posh datascript core as d important changes 0 5 4 added option fields to q and pull currently the only option is cache forever which will keep the query results caches forever even after the component using that query is un rendered thanks metasoarous https github com metasoarous 0 5 3 added filter tx filter q and filter pull to posh reagent 0 5 1 get else now works with q but still no pull in q q with no in args now works properly 0 5 you must require posh reagent in your ns s instead of posh core this is because posh 0 5 s core is now front end agnostic and reagent is just one of the front ends it will work with rum and quiescent soon to come previously posh s q took the conn as the first argument now the conn is placed behind the query in the args as in datascript or datomic s q db tx pull tx and q tx are now deprecated the tx patterns generated for pull are exact and for q are pretty thorough q with get else and pull do not currently work in 0 5 though they sort of worked in the older version if you need to use those just keep using the older version until those expressions are supported overview posh gives you two functions to retrieve data from the database from within reagent components pull and q they watch the database s transaction report and only update re render the hosting component when one of the transacted datoms affects the requested data posh posh datascript conn1 sets up the tx report listener for a conn clj def conn d create conn posh conn new in posh 0 5 you can posh multiple conns together if you intend to ever use them together in a q query clj posh conn users conn styles conn pull pull conn pull pattern entity id pull retrieves the data specified in pull pattern for the entity with entity id pull can be called from within any reagent component and will re render the component only when the pulled information has changed posh s pull operates just like datomic datascript s pull except it takes a conn instead of a db see datomic s pull http docs datomic com pull html posh s pull only attempts to pull any new data if there has been a transaction of any datoms that have changed the data it is looking at for example clj pull conn person name person age 1234 would only do a pull into datascript if there has been a transaction changing person name or person age for entity 1234 below is an example that pulls all of the info from the entity with id whenever id is updated and increases its age whenever clicked clj defn pull person id let p pull conn id println person person name p div on click transact conn db add id person age inc person age p person name p person age p q q query args q queries for data from the database according to the datalog rules specified in the query it must be called within a reagent component and will only update the component whenever the data it is querying has changed see datomic s queries and rules http docs datomic com query html for how to do datalog queries args are extra variables including the conn or conns from which you will be querying that datascript s q looks for after the find query if the query has an in specification note that posh s q takes conns rather than dbs whenever the database has changed q will check the transacted datoms to see if anything relevant to its query has occured if so q runs datascript s q and compares the new query to the old if it is different the hosting component will update with the new data below is an example of a component that shows a list of people s names who are younger than a certain age it only attempts to re query when someone s age changes or a young person s name changes clj q find name in old where p person age age age old p person name name conn old age currently pull is not supported inside q it is recommended to query for the eids manually send them to components with a separate pull for each eid filters filters allow you to select a subset of the database to be accessed by queries filters can be faster because tx datoms must first pass through a filter before passing on to any queries that use that filter however the filters currently just use datascript s filter function and lazily check each queried datom with a pattern matching predicate to see if it passes the filter so in reality filters might just slow you down in the future there will be an option to cache the filtered db which should improve speed of reliant queries filters return a value that can be passed in to queries or other filters in place of the root conn they should not be dereffed filter tx filter tx takes a poshdb or conn and a list of tx patterns the resulting filtered db consists only of datoms that satisfy one of those patterns the following filter would make a db of only task and category names clj defn test filter tx conn let filter0 p filter tx conn task name category name div p filter tx pr str filter0 rand int 999999 pr str p q find v where v filter0 the q would return a list of all the task and category names because filter datom evaluation is currently lazy the q query would have to check every single entity in the database to see if it passes the filter and is thus not very efficient filter pull filter pull creates a filtered db consisting of everything touched by the pull query for example clj p filter pull conn task category task name category name hobby this would return a filtered db that consists of the name of every task belonging to the hobby category filter q filter q queries for entity id s and creates a filtered db consisting of those entities and all their attributes although q and filter q can query from multiple db s filters the first argument after the find where query is assumed to be the parent db clj p filter q find task cat in todo where cat category todo todo task task category cat conn todo name matt s list the above would make a filtered db of all the category and task entities belonging to the todo list named matt s list combining filters you can call filters on filters clj def hobby tasks p filter pull conn task category task name category name hobby def hobby task names p filter tx hobby tasks task name and soon to come you ll be able to use filter merge on multiple filters to or them together transact posh reagent s transact takes a conn or a posh filter and transacts to the conn or the root conn of the filter clj transact conn db add 123 person name jim posh atom get posh atom conn the cache of all the queries is stored inside the posh atom which is pointed to by the conn if you want to see or edit things under the hood this is where to go the dereffed posh atom can be used as the posh tree in the functions in posh core a wiki will one day explain further advanced examples editable label this component will show the text value for any entity and attrib combo there is an edit button that when clicked creates an edit entity that keeps track of the temporary text typed in the edit box the done button resets the original value of the entity and attrib and deletes the edit entity the cancel button just deletes the edit entity the state is stored entirely in the database for this solution so if you were to save the db during the middle of an edit if you restored it later you would be in the middle of the edit still clj defn edit box conn edit id id attr let edit p pull conn edit val edit id span input type text value edit val edit onchange p transact conn db add edit id edit val target value button onclick p transact conn db add id attr edit val edit db fn retractentity edit id done button onclick p transact conn db fn retractentity edit id cancel defn editable label conn id attr let val attr p pull conn attr id edit p q find edit in id attr where edit edit id id edit edit attr attr conn id attr if not edit span val button onclick new entity conn edit id id edit val val edit attr attr edit edit box conn edit id attr this can be called with any entity and its text attrib like editable label conn 123 person name or editable label conn 432 category title back end as of version 0 5 posh core should be able to run on datomic databases and keep track of all queries it can also generate for any q or pull the necessary datoms needed in a bare database to get the same result for that q or pull which means that the front end can send its graph of queries to the backend and get back any datoms needed to update its db whenever anything relevant changes datsync https github com metasoarous datsync is a utility that eventually will do this though currently it just copies the entire datomic db over to datascript see our gitter room for updates https gitter im mpdairy posh developing this library start a clojure repl via your normal way m x cider jack in for emacs users start a cljs repl via lein trampoline cljsbuild repl listen files of interest posh clj datomic clj clojure datomic api posh clj datascript clj clojure datascript api posh reagent cljs datascript api running tests run lein test from project root license copyright 2015 matt parker if somebody needs to bsd then sure it s under that too distributed under the eclipse public license either version 1 0 or at your option any later version | front_end |
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computer-vision | computer vision self study guide for traditional and ml based computer vision techniques theory implementations of important computer vision and machine learning concepts computer vision background subtraction colorspace features filters geometry affine transforms projective transforms hog features histograms homography hough transform image gradients k means kalman filter linear algebra vectors matrices morphological operations optical flow segmentation thresholding deep learning autoencoder cnn gan vae applied solutions to common tasks with popular libraries opencv pytorch scikit learn classification resnet squeezenet object detection multi object tracking ball tracking player tracking image processing grayscale segmentation fc densenet unet sfm image stitching problems coding problems and solutions mostly computer science fundamentals with a slight focus on computer vision arrays matrix hashmap stacks queues strings dynamic programming linkedlists recursion trees papers notes on interesting computer vision papers setup dependencies anaconda 3 opencv 3 pytorch 0 2 tensorflow gpu hardware build your own deep learning box https towardsdatascience com building your own deep learning box 47b918aea1eb datasets download link for datasets in this repo resources courses udacity intro to computer vision https www udacity com course introduction to computer vision ud810 berkeley cs184 cinoyter graphics and imaging https cs184 org books 3d math primer for graphics and game development https www amazon com primer graphics development wordware library dp 1556229119 computer vision algorithms and applications http szeliski org book papers awesome computer vision papers https github com kjw0612 awesome deep vision synthetic computer vision papers https github com unrealcv synthetic computer vision datasets awesome computer vision https github com jbhuang0604 awesome computer vision synthetic computer vision datasets https github com unrealcv synthetic computer vision | computer-vision machine-learning deep-learning pytorch opencv jupyter scikit-learn | ai |
rallie | div align center img width 300 height 300 src https raw githubusercontent com ralliejs docs main vuepress public logo png br br coverage status https coveralls io repos github ralliejs rallie badge svg branch master https coveralls io github ralliejs rallie branch master release https img shields io github release ralliejs rallie svg https github com ralliejs rallie releases lastcommit https img shields io github last commit ralliejs rallie https github com ralliejs rallie commits master lerna https img shields io badge maintained 20with lerna cc00ff svg https lerna js org div div align center https github com ralliejs rallie blob master readme zh md english div introduction rallie is a library that can help users implement decentralized front end micro service architecture the front end application developed based on rallie can become a service that exposes responsive states events and methods different services can share dependencies flexibly combine and arrange so as to improve the scalability of large scale front end applications features decentralized service arrangement there is no concept like main application and sub application everything is service and the dependencies between services are managed and arranged by rallie communication between services services can expose reactive states based on vue reactivity along with events and methods based on proxy middleware the middleware mechanism based on koa compose makes the process of loading application s resource become really flexible and scalable support mainstream front end technology rallie is friendly to typescript and supports vue2 vue3 react and vanilla js example code https github com ralliejs rallie tree master playground https github com ralliejs rallie tree master playground preview https ralliejs github io rallie index html https ralliejs github io rallie index html ecosystem rallie react https github com ralliejs rallie tree master packages react support react services by providing hooks rallie vue https github com ralliejs rallie tree master packages vue support vue3 services by providing composition api and support vue2 services by providing mixins rallie load html https github com ralliejs rallie tree master packages load html a middleware that allows services load resources directly from html document rallie js a library that helps users implement decentralized front end micro service architecture https ralliejs github io docs license rallie is mit licensed https github com ralliejs rallie blob master license | microfrontends react vue module-federation javascript frontend-web micro-frontend micro-frontend-architecture | front_end |
shards-dashboard-vue | p align center a href https designrevision com downloads shards dashboard lite vue img src assets preview png width 250 a p h1 align center style border bottom none important margin bottom 5px important a href https designrevision com downloads shards dashboard lite vue shards dashboard vue a h1 p align center a href img src https img shields io badge license mit brightgreen svg a a href https twitter com designrevision img src https img shields io twitter follow designrevision svg style social label follow a p p align center a free vue admin dashboard template pack featuring a modern design system br and lots of custom templates and components p p align center a href https designrevision com demo shards dashboard lite vue img height 55px src assets btn live preview png a a href https designrevision com downloads shards dashboard lite vue img height 55px src assets btn learn more png a p br p align center a href https designrevision com downloads shards dashboard lite vue img src assets demo preview gif width 650 a p br note you can download the sketch files from the official product page br quick start install dependencies by running yarn run yarn serve to start the local development server that s it you re ready to start building awesome dashboards br project structure all templates are located inside src views and most of them are self contained there s only one single layout defined default inside src layouts however the current structure provides an easy way of extending the ui kit the src components directory hosts all template specific subcomponents in their own subdirectory almost all components have their styles isolated in sfc however some global styles are also placed inside src assets scss next to shards dashboard lite s base styles the src utils directory contains generic chart js utilities br pro version if you re looking for something more check out shards dashboard pro vue https designrevision com downloads shards dashboard pro vue which features many more custom templates and components use the github15 coupon code for a 15 discount off the current price br built using shards vue https designrevision com downloads shards vue chart js http www chartjs org vue datepicker https github com charliekassel vuejs datepicker nouislider https refreshless com nouislider quill https quilljs com material icons http material io icons fontawesome icons http fontawesome io br changelog please check out the changelog changelog md | vue vuejs uikit dashboard admin admin-dashboard template design design-system ux modern | os |
Memento | memento memento is a python app that records everything you do on your computer and lets you go back in time search and chat with a llm large language model to find back information about what you did https github com apirrone memento assets 6552564 d256a3a9 fa44 4b73 8b8e b02a5473540b this project is heavily inspired by rewind ai https rewind ai how it works the app takes a screenshot every 2 seconds it compiles the screenshots into h264 video segments for storage efficiency it uses ocr to extract text from the images it indexes the text in a sqlite3 database and a vectordb it uses fts5 to search the text it uses a llm gpt through openai s api to chat with the timeline branches the main branch is the latest release the dev branch contains the latest stable improvements that will be merged into main periodically any other branch is a feature currently being developed disk space and performance considerations right now memento produces about 120mb of data per hour we are working on ways to reduce this number todo profile cpu usage of memento installation this project was tested on ubuntu 22 04 console pip install e you also need to install tesseract ocr on your system to install latest version tesseract 5 x x console sudo apt update sudo add apt repository ppa alex p tesseract ocr devel sudo apt install tesseract ocr then install the language packs you need for example console sudo apt install tesseract ocr eng sudo apt install tesseract ocr fra you also need to set an environment variable this is the path on my system it may be different on yours console export tessdata prefix usr share tesseract ocr 5 tessdata usage background process run in a terminal console memento bg show the timeline console memento timeline then use ctrl f to search if you want to chat with the timeline through a llm you need an openai api key in your env as openai api key then use ctrl t to open the chatbox contributing feel free to contribute fork the repo and submit a pr to the dev branch | ai |
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KTFLITE | ktflite img src assets app logo neo png width 148 alt app logo computer vison application written in kotlin powered by tensorflow deep learning library ktflite a mix of kotlin and tensorfow lite is an application written entirely in kotlin powered by tensorflow a deep learning library developed by google br p align center img src https raw githubusercontent com eddywm ktflite master assets app img1 png width 250 img src https raw githubusercontent com eddywm ktflite master assets app img2 png width 250 img src https raw githubusercontent com eddywm ktflite master assets app img3 png width 250 p br br some inferences br p align center img src https raw githubusercontent com eddywm ktflite master assets app img inference1 png width 250 p br br installation clone the repo and open in android studio to study the code build apk with gradle to run on your android device git clone https github com eddywm ktflite git open the project folder in android studio author eddy wm twitter https twitter com eddy wm eddywmdev gmail com | kotlin tensorflow deep-learning computer-vision android machine-learning | ai |
Machine-Learning-using-Python | project1 wind power output predictions wind power forecasting data excel file containing wind power and weather forecast data the columns contain the following timestamp self explanatory targetvar hourly mean wind power normalised by the maximum output of the wind farm u10 forecast zonal wind velocity m s at 10m above ground v10 forecast meridional wind velocity m s at 10m above ground u100 forecast zonal wind velocity m s at 100m above ground v100 forecast meridional wind velocity m s at 100m above ground wind power data are missing from the final day of the dataset the task is to predict the wind power output for this day based on the available weather forecasts project2 interactive dictionary an interactive dictionary to find the meaning of the desired word produce error if no word found or suggest any matching word used data json file project3 commonfloor web scraping retrieve property deatils estate company prices project4 zomato web scraping top restaurant in bangalore restaurant name address cuisine project4 spam message detection the message spam collection is a set of tagged messages that have been collected for spam research it contains one set of messages in english of 5 574 messages tagged acording being legitimate ham or spam try to build a model which can classify future messages into spam or non spam categories automatically project5 twitter bots a twitterbot is a program that integrates with the twitter platform automatically posting retweeting liking or following other users twitterbots can prove to be useful through providing interesting information or updates and they can also be fun or humorous project6 mining twitter check the trends twitter trending topics discover what people are talking about | ai |
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Flight-Controller-design-for-SHAKTHI-C64-Processor | flight controller design for shakthi c64 processor this is a simulink based control system design for a quadcopter the control system was designed in simulink and the embedded c code and verilog code were generated using simulink coder this was aimed at developing a flight controller using the riscv isa based shakthi c64 vajra microprocessor developed at rise labs iit madras india view project report https github com shariethernet flight controller design for shakthi c64 processor blob main project report pdf | os |
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create-frontend-framework | slides available here https docs google com presentation d 1qek3f9ycae0olg5ccgrlsybxtnd7iampbgkotvxwczi edit usp sharing this project aims to provide a step by step implementation of a frontend framework it s only for learning purpose and allows to take a first shot of internal stuff such as templating state management and the use of virtual doms new here s another way to implement it using react api and jsx https github com mfrachet create frontend framework tree jsx new the project is now available on github pages https mfrachet github io create frontend framework | front_end |
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ffhqr-dataset | skylab research skylab research png https research skylabtech ai flickr faces hq retouching ffhqr dataset license cc https img shields io badge license cc green svg style plastic format png https img shields io badge format png green svg style plastic resolution 1024 times 1024 https img shields io badge resolution 1024 times 1024 green svg style plastic images 70000 https img shields io badge images 70 000 green svg style plastic teaser image ffhqr teaser jpg flickr faces hq retouching ffhqr dataset flickr faces hq retouching ffhqr dataset licenses licenses overview overview acknowledgements acknowledgements privacy privacy flickr faces hq retouching ffhqr is a high quality image dataset of retouched human faces the dataset is released as part of the following paper autoretouch automatic professional face retouching br alireza shafaei skylabtech https research skylabtech ai james j little ubc mark schmidt ubc br winter conference on applications of computer vision wacv 2021 br wacv 21 page https openaccess thecvf com content wacv2021 html shafaei autoretouch automatic professional face retouching wacv 2021 paper html pdf https openaccess thecvf com content wacv2021 papers shafaei autoretouch automatic professional face retouching wacv 2021 paper pdf supp https openaccess thecvf com content wacv2021 supplemental shafaei autoretouch automatic professional wacv 2021 supplemental pdf video https youtu be nbfksl5xhha the original ffhq dataset https github com nvlabs ffhq dataset consists of 70 000 1 mp face aligned images that are collected from flickr we professionally retouched ffhq to create ffhqr ffhqr is the first large scale publicly available retouching dataset we chose ffhq as the basis of our new dataset because of the variety of ages ethnicity lighting conditions and the large number of images that could benefit from face retouching for press business and other inquiries please contact alireza skylabtech ai mailto alireza skylabtech ai licenses the original ffhq license is available here https github com nvlabs ffhq dataset the individual images may have the following licenses creative commons by 2 0 https creativecommons org licenses by 2 0 public domain mark 1 0 https creativecommons org publicdomain mark 1 0 creative commons by nc 2 0 https creativecommons org licenses by nc 2 0 public domain cc0 1 0 https creativecommons org publicdomain zero 1 0 u s government works http www usa gov copyright shtml according to the ffhq homepage all of these licenses allow free use redistribution and adaptation for non commercial purposes however some of them require giving appropriate credit to the original author as well as indicating any changes that were made to the images the retouching dataset is made available under creative commons by nc sa 4 0 https creativecommons org licenses by nc sa 4 0 license by skylab technologies incorporated https skylabtech ai you can use redistribute and adapt it for non commercial purposes as long as you a give appropriate credit by citing our paper b indicate any changes that you ve made and c distribute any derivative works under the same license bibtex inproceedings shafaei 2021 wacv author shafaei alireza and little james j and schmidt mark title autoretouch automatic professional face retouching booktitle proceedings of the ieee cvf winter conference on applications of computer vision wacv month january year 2021 pages 990 998 overview to use ffhqr you first need to download the original 1024x1024 ffhq images https github com nvlabs ffhq dataset the retouched images ffhqr can be downloaded below path size files format description ffhqr dataset boxvr nbsp images1024x1024 part 1 https www cs ubc ca research autoretouch ffhqr part1 tar 13 gb 10 000 png tar package 00000 09000 boxvr nbsp images1024x1024 part 2 https www cs ubc ca research autoretouch ffhqr part2 tar 13 gb 10 000 png tar package 10000 19000 boxvr nbsp images1024x1024 part 3 https www cs ubc ca research autoretouch ffhqr part3 tar 13 gb 10 000 png tar package 20000 29000 boxvr nbsp images1024x1024 part 4 https www cs ubc ca research autoretouch ffhqr part4 tar 13 gb 10 000 png tar package 30000 39000 boxvr nbsp images1024x1024 part 5 https www cs ubc ca research autoretouch ffhqr part5 tar 13 gb 10 000 png tar package 40000 49000 boxvr nbsp images1024x1024 part 6 https www cs ubc ca research autoretouch ffhqr part6 tar 13 gb 10 000 png tar package 50000 59000 boxvr nbsp images1024x1024 part 7 https www cs ubc ca research autoretouch ffhqr part7 tar 13 gb 10 000 png tar package 60000 69000 boxur nbsp thumbnails128x128 https www cs ubc ca research autoretouch thumbs tar 2 3 gb 70 000 png tar package thumbnails at 128 times 128 data split by folders train 00000 to 55000 validation 56000 to 62000 test 63000 to 69000 acknowledgements we would like to thank the photoretouchonline com http photoretouchonline com team and the artona group inc https www artona com staff for their valuable feedback and support we thank tero karras nvidia samuli laine nvidia timo aila nvidia for the original ffhq dataset privacy if you wish to remove a photo that you own from ffhq and ffhqr please follow the ffhq instructions https github com nvlabs ffhq dataset privacy after your image is successfully deleted from ffhq please contact alireza skylabtech ai to remove the corresponding image from ffhqr | retouching computer-vision deep-learning dataset large-scale high-resolution | ai |
blynk-library | swubanner https raw githubusercontent com vshymanskyy standwithukraine main banner direct svg https vshymanskyy github io standwithukraine blynk c library tweet https img shields io twitter url http shields io svg style social https twitter com intent tweet text build 20your 20iot 20app 20in 20minutes 20right 20on 20your 20smartphone url https github com blynkkk blynk library via blynk app hashtags iot ios android arduino esp8266 esp32 raspberrypi github version https img shields io github release blynkkk blynk library svg https github com blynkkk blynk library releases latest github download https img shields io github downloads blynkkk blynk library total svg https github com blynkkk blynk library releases latest github stars https img shields io github stars blynkkk blynk library svg https github com blynkkk blynk library stargazers github issues https img shields io github issues blynkkk blynk library svg https github com blynkkk blynk library issues build status https img shields io travis blynkkk blynk library svg https travis ci org blynkkk blynk library license https img shields io badge license mit blue svg https github com blynkkk blynk library blob master license if you like blynk give it a star or fork it and contribute github stars https img shields io github stars blynkkk blynk library svg style social label star https github com blynkkk blynk library stargazers github forks https img shields io github forks blynkkk blynk library svg style social label fork https github com blynkkk blynk library network blynk is a unique iot platform for connecting any hardware to the cloud designing apps to control them and managing your deployed products at scale with blynk library you can connect over 400 hardware models including esp8266 esp32 nodemcu all arduinos raspberry pi particle texas instruments etc to the blynk cloud with blynk apps for ios and android apps you can easily drag n drop graphic interfaces for any diy or commercial project it s a pure wysiwg experience no coding on ios or android required hardware can connect to blynk cloud over the internet using hardware connectivity available on your board like esp32 or with the use of various shields ethernet wifi gsm lte etc blynk cloud is available for every user of blynk for free blynk banner https github com blynkkk blynkkk github io raw master images githubbanner jpg downloads blynk arduino library https github com blynkkk blynk library releases latest blynk mobile app img src https cdn rawgit com simple icons simple icons develop icons googleplay svg width 18 height 18 google play https play google com store apps details id cloud blynk img src https cdn rawgit com simple icons simple icons develop icons apple svg width 18 height 18 app store https apps apple com us app blynk iot id1559317868 quickstart arduino ethernet shield download the blynk app app store https apps apple com us app blynk iot id1559317868 google play https play google com store apps details id cloud blynk get the auth token from the app import this library to arduino ide guide here http arduino cc en guide libraries in arduino ide select file examples blynk boards ethernet arduino ethernet update auth token in the sketch and upload it to arduino connect your arduino with ethernet shield to the internet when you are connected check the included examples on how to use different types of connections transports and explore blynk features you can combine any example for your hardware transport features documentation and other helpful links the list of supported hardware https docs blynk io en blynk edgent firmware api supported boards supported boards ethernet wifi cellular full blynk documentation https docs blynk io a complete guide on blynk features community forum http community blynk cc join a 500 000 blynk community to ask questions and share ideas code examples browser http examples blynk cc browse examples to explore blynk possibilities official website https blynk io social media facebook https www fb com blynkapp twitter https twitter com blynk app youtube https www youtube com blynk instagram https www instagram com blynk iot linkedin https www linkedin com company b l y n k blynk libraries for other platforms python micropython https github com blynkkk lib python libraries by community python micropython https github com vshymanskyy blynk library python particle https github com vshymanskyy blynk library particle lua openwrt nodemcu https github com vshymanskyy blynk library lua openwrt packages https github com vshymanskyy blynk library openwrt mbed https developer mbed org users vshymanskyy code blynk node red for blynk iot https flows nodered org node node red contrib blynk iot contributing we accept contributions from our community stability bugfixes new hardware support or any other improvements here https github com blynkkk blynk library labels help 20wanted is a list of what you could help with license this project is released under the mit license mit | arduino esp8266 esp32 particle-photon embedded hardware mbed raspberry-pi bluetooth bluetooth-low-energy ethernet-shield gsm ota iot internet-of-things espressif iot-platform wifi | server |
bubble-blast-saga | bubble blast saga an ios game that was developed as part of cs3217 software engineering on modern application platforms at national university of singapore | os |
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Front-End-Toolkit | front end toolkit tweet https img shields io twitter url http shields io svg style social https twitter com intent tweet text front end 20boilerplate 20with 20lots 20of 20automation 20 url https www devbridge com articles the power of our new front end toolkit via devbridge hashtags front end html sass automated accessibility webdev css starter template this project is a set of best practices brought to you by the team at devbridge group https www devbridge com articles the power of our new front end toolkit which will allow you to start project quickly non depending from any javascript framework features that are already here recommended sass structure with good practices from our team live server with auto reload feature sass linting integration and configuration automated svg spriting automated image optimization recommended structure for html layout automated html linting task automated accessibility check with generated reports pre commit hooks to keep project clean component based development approach which will help to transfer code on whatever front end framework you want or just use it as a plain html site generator prepared code hygiene tools like editor config nvmrc npmrc files and small things like npm scripts in development html components with basic styling states and best accessibility practices more detailed instructions and explanations why we are doing things in this way installation to setup new project clone this repo git clone https github com devbridge front end toolkit git switch to right node version using nvm https github com creationix nvm which node version is required defined in nvmrc https github com devbridge front end toolkit blob v2 dev nvmrc file nvm use version number from nvmrc file inside project folder install dependencies from package json npm i to start developing run npm script command npm run start or launch command with check dependencies mode which will check if all needed dependencies are installed npm run start safe it will start all development tasks prepare assets compile html and css bundle javascript and add file watchers now you can configure your project license the mit license mit | front_end |
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go-ethereum | classic geth has moved notice https proxy duckduckgo com iu u https 3a 2f 2flisasstampstudio com 2fwp content 2fuploads 2f2017 2f08 2fimportant please read jpg f 1 classic geth is being maintained at https github com etclabscore go ethereum for latest releases and developments please see https github com etclabscore go ethereum classic geth is being maintained at https github com etclabscore go ethereum for latest releases and developments please see https github com etclabscore go ethereum classic geth is being maintained at https github com etclabscore go ethereum for latest releases and developments please see https github com etclabscore go ethereum | ethereum blockchain ethereum-classic | blockchain |
cheriot-rtos | cheriot rtos this repository contains the core rtos for the cheriot platform https aka ms cheriot tech report this is currently a research project that has been open sourced to enable wider collaboration it is not yet in a state where it should be used in production in particular security issues will currently be fixed in the main branch of the repo with no coordinated disclosure to use this you will also some dependencies the getting started guide docs gettingstarted md describes in detail how to build these a version of llvm with cheriot support currently in the cheriot branch of cheri llvm https github com ctsrd cheri llvm project tree cheriot an implementation of the isa e g cheriot ibex https github com microsoft cheriot ibex or the emulator generated from the formal model https github com microsoft cheriot sail these dependencies are pre installed in the dev container that will be automatically downloaded if you open this repository in visual studio code or by hitting to open it in github code spaces to clone this repository make sure that you use git clone recurse so that you get submodules this repository contains symbolic links important if you wish to clone this repository on windows make sure that you have enabled developer mode and run git config global core symlinks true you must do this before cloning the repository the getting started guide docs gettingstarted md describes how to install these and how to build the test suite and examples in this repository the rtos is privilege separated into a small number of core components as described in the architecture document docs architecture md the c c extensions used by the compartmentalisation model are described in the language extensions document docs languageextensions md if you have questions please see the frequently asked questions docs faq md document or raise an issue building firmware images this repo contains the infrastructure for building cheriot firmware images note the build system is currently based on xmake but we have encountered a number of issues with our use of xmake and may switch to an alternative build system at some point clone this repo into your project and create an xmake lua referring to it the file should start with this line lua includes path to this repo sdk this will enable debug and release configuration specified with m release debug both are compiled with oz optimise for size even at the expense of performance next you need to specify that you want to use the compiler provided by this sdk set toolchains cheriot clang now you can add targets we provide helpers for creating library compartment and firmware targets these work just like normal xmake targets library lib add files shared c file c shared cxx file cc compartment example add files example example c firmware example firmware add deps lib example on load function target target values set threads compartment example priority 1 entry point entry point stack size 0x400 trusted stack frames 2 the firmware description specifies the compartments and libraries that this system depends on and specifies the threads threads are listed as a lua array of objects each of which has the following keys compartment specifies the name of the compartment in which this thread starts entry point specifies the name of the exported function from that compartment that the thread will start executing this function must take no arguments and return void stack size specifies the size in bytes of the stack for this thread trusted stack frames specifies the number of trusted stack frames the maximum depth of cross compartment calls possible on this thread note that any call that may yield is likely to require at least one additional trusted stack frame to call the scheduler so for example a blocking call to malloc requires three stack frames the caller the allocator and the scheduler sh xmake config sdk path to cheriot llvm tools xmake this will create the output in build cheriot cheriot release debug name of firmware target it will also create a dump file in the same location giving the objdump output of the same target contributing this project welcomes contributions and suggestions most contributions require you to agree to a contributor license agreement cla declaring that you have the right to and actually do grant us the rights to use your contribution for details visit https cla opensource microsoft com when you submit a pull request a cla bot will automatically determine whether you need to provide a cla and decorate the pr appropriately e g status check comment simply follow the instructions provided by the bot you will only need to do this once across all repos using our cla this project has adopted the microsoft open source code of conduct https opensource microsoft com codeofconduct for more information see the code of conduct faq https opensource microsoft com codeofconduct faq or contact opencode microsoft com mailto opencode microsoft com with any additional questions or comments trademarks this project may contain trademarks or logos for projects products or services authorized use of microsoft trademarks or logos is subject to and must follow microsoft s trademark brand guidelines https www microsoft com en us legal intellectualproperty trademarks usage general use of microsoft trademarks or logos in modified versions of this project must not cause confusion or imply microsoft sponsorship any use of third party trademarks or logos are subject to those third party s policies | os |
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blog | blog website this website has been built using material for mkdocs https squidfunk github io mkdocs material markdown has been used to write the blog and material has been used for generating the website have a great stay | tutorial documentation journal | server |
iot-codelabs | huawei iot developer community 2017 codelabs this repository contains the source material for codelabs released at huawei 2017 access the codelabs http developer huawei com ict cn training codelab labs 2 b nb iot agentlite javascript app | liteos nb-iot iot-platform edge-computing | server |
NLP-hands-on | nlp hands on hands on natural language processing published by dongyu | ai |
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Private_Project | personal project description object 0 package selenium requests beautifulsoup etc 1 daum personal project daum news png nan keyword category date link press rank title maintext keywords number of comments real comment site category date link press rank title maintext keyword number of comments real comment site naver personal project naver news png nan keyword category date link press rank title maintext number of comments real comment site keywords category date link press rank title maintext number of comments real comment site keywords 2 category date link comment site category date link comment site 3 naver movie sentiment https www kinds or kr 156291 632330 161297 1617233 naver movie sentiment analysis 20 2 mongodb 1 2017 12 01 2018 02 01 63 db news daum 9372 news naver 15120 comments 16813332 3 konlpy konlpy org konlpy customization customized konlpy https github com lovit customized konlpy keyword pagerank http excelsior cjh tistory com entry textrank eb a5 bc ec 9d b4 ec 9a a9 ed 95 9c eb ac b8 ec 84 9c ec 9a 94 ec 95 bd konlpy twitter mecab daum konlpy twitter mecab konlpy kkma twitter komoran hannanum 2017 12 raw data konlpy mecab konlpy twitter customized konlpy 100 1 customized konlpy mecab 2 namuwiki wikipedia title 3 https www kinds or kr 4 nia 2017 2 ckonlpy mecab sns niadic 93 50 7 5000 9 35 100 50 textrank algorithm mecab ckonlpy 10 mecab ckonlpy 10 textrank n gram 1 5 2 10 2 90 4 5 word2vec doc2vec fasttext logistic regressor random forest svc xgboost neural network1 neural network2 it word2vec doc2vec fasttext logistic regressor random forest svc xgboost neural network1 neural network2 classification recall recall clustering konlpy konlpy org customized konlpy https github com lovit customized konlpy datascienceschool https datascienceschool net https www data go kr https www data go kr dataset 15012945 filedata do https www kinds or kr | ai |
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Udagram_Image_Filtering_Microservice | udagram image filtering microservice udagram is a simple cloud application developed alongside the udacity cloud engineering nanodegree it allows users to register and log into a web client post photos to the feed and process photos using an image filtering microservice the project is split into three parts the frontend code is in another repository udagram frontend link to code https github com tebogoyungmercykay refactoring a monolith to microservices tree master udagram frontend udagram tests link to code https github com tebogoyungmercykay refactoring a monolith to microservices tree master udagram frontend udagram tests a basic ionic client web application which consumes the restapi backend reverse proxy code is in another repository udagram reverse proxy link to code https github com tebogoyungmercykay refactoring a monolith to microservices tree master udagram reverseproxy dockerfile link to code https github com tebogoyungmercykay refactoring a monolith to microservices blob master udagram reverseproxy dockerfile nginx conf link to code https github com tebogoyungmercykay refactoring a monolith to microservices blob master udagram reverseproxy nginx conf restapi backend code is in another repository api feed link to code https github com tebogoyungmercykay refactoring a monolith to microservices tree master udagram api feed api user link to code https github com tebogoyungmercykay refactoring a monolith to microservices tree master udagram api user node express server which can be deployed to a cloud service the image filtering microservice clone link link to code https github com tebogoyungmercykay udagram image filtering microservice git this is the project in this repository it is a node express application which runs a simple script to process images project instructions new endpoint create a new endpoint in the server ts file the starter code has a task for you to complete an endpoint in src server ts which uses query parameter to download an image from a public url filter the image and return the result importing the new endpoint importing it for you at the top of the src server ts file typescript import filterimagefromurl deletelocalfiles from util util starter code project starter code link to code https github com udacity cloud developer tree master course 02 project image filter starter code the starter code was created by udacity members perequisite 1 installations git installation git installation link https www youtube com watch v 4xqvv2lto40 ab channel travelscode git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency python installation python link https www youtube com watch v bcy4d9n3pew t 300s ab channel programmingknowledge python is a high level general purpose programming language its design philosophy emphasizes code readability with the use of significant indentation update python if necessary step 1 go to python s official site step 2 click on the downloads tab step 3 download the version you need to upgrade to based on your system specifications ie 32 bit or 64 bit here we will be downloading the 64 bit installer for 3 x step 4 click on the installer and it will begin the installation make sure to select the add python 3 9 to path option and click on install now step 5 chech python version python version ionic cli installation ionic cli link https ionicframework com docs intro cli ionic empowers web developers to build leading cross platform mobile apps and progressive web apps pwas aws cli installation aws cli link https docs aws amazon com cli latest userguide cli chap install html the aws command line interface aws cli is a unified tool to manage your aws services frameworks and tools nodejs npm postbird postman node modules command npm install g node modules consider modules to be the same as javascript libraries a set of functions you want to include in your application update pip command python m pip install upgrade pip pip is the package installer for python you can use pip to install packages from the python package index and other indexes virtualenv command python m pip install user virtualenv virtualenv installation link https virtualenv pypa io en latest installation html virtualenv is used to manage python packages for different projects using virtualenv allows you to avoid installing python packages globally which could break system tools or other projects install upgrade the eb cli installation command pip install upgrade user awsebcli installing from github installing from github information link https docs aws amazon com elasticbeanstalk latest dg eb cli3 html step 1 git clone https github com aws aws elastic beanstalk cli setup git step 2 bash or zsh python aws elastic beanstalk cli setup scripts ebcli installer py powershell or in a command prompt python aws elastic beanstalk cli setup scripts ebcli installer py perequisite 2 aws setup account setup account link https portal aws amazon com billing signup amazon web services inc is a subsidiary of amazon that provides on demand cloud computing platforms and apis to individuals companies and governments on a metered pay as you go basis creating a user iam user link https aws amazon com free trk 712ee378 d73b 4293 9bad 8ce09671ea7c sc channel ps s kwcid al 4422 3 444219541886 p g aws 20account ef id cj0kcqjw08aybhdlarisaa gb0f0v9icd8fw5bh10du jrfcb9 sohaatkkh8bwo4g1hquaaqmssqaaajo2ealw wcb g s s kwcid al 4422 3 444219541886 p g aws 20account all free tier sort by item additionalfields sortrank all free tier sort order asc awsf free 20tier 20types all awsf free 20tier 20categories all free tier this is for gaining free hands on experience with the aws platform products and services permisions administratoraccess awselasticbeanstalk perequisite 3 aws configurations step 1 aws configure run on a terminal eg cmd step 2 fill in the details from the created user aws access key id none xxxxxxxxxxxxx aws secret access key none xxxxxxxxxxxx default region name none xxxxxxxxxxxxxxxxxx eg us west 2 default output format none xxxxxxxxx eg json perequisite 4 setup node environment step 1 npm i optional npm audit fix step 2 npm run dev step 3 npm run build this command should be properly set in the package json file in the same directory if zip command gives problems https stackoverflow com a 55749636 deploying the system step 1 open cmd as addministrator and cd to the code files step 2 you can create a virtual enviromnment optional step 3 eb init run on a terminal do you wish to continue with codecommit y n n do you want to set up ssh for your instances y n y type a keypair name default is aws eb enter add this block of code in the config file under the elasticbeanstalk folder text deploy artifact www archive zip step 4 eb create run on a terminal enter environment name default is xxxxxxxxxxxxxxxxxx enter enter dns cname prefix default is xxxxxxxxxxxxxxxxxx enter nb this has to be unique select a load balancer type 1 classic 2 application 3 network default is 2 2 would you like to enable spot fleet requests for this environment y n n step 5 done info successfully launched environment step 6 nb you can use eb deploy to push changes stand out task optional refactor the course restapi if you re feeling up to it refactor the course restapi to make a request to your newly provisioned image server authentication prevent requests without valid authentication headers make sure to add the token to the postman collection and export the postman collection file add them to your submission so we can review custom domain name add your own domain name and have it point to the running services try adding a subdomain name to point to the processing server note domain names are not included in aws free tier and will incur a cost p align center the end thank you p | cloud |
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goloop | goloop codecov https codecov io gh icon project goloop branch master graph badge svg token 5dutfegmfy https codecov io gh icon project goloop official blockchain architecture implementation of the icon 2 0 protocol welcome to the goloop github repository goloop is a smart contract enabled enterprise grade blockchain software written in go with many unique features providing a secure immutable and scalable environment to develop decentralized applications this github repository contains the source code of the goloop software which will serve as base modules for enterprise blockchains as well as the implementation base for icon 2 0 protocol introduction general build guide doc build md tutorial doc tutorial md api documents json rpc v3 doc jsonrpc v3 md json rpc iiss extension doc iiss extension md json rpc btp extension doc btp extension md json rpc btp2 extension doc btp2 extension md others goloop command line reference doc goloop cli md genesis transaction doc genesis tx md genesis storage doc genesis storage md contribution guidelines there are two branches in the repository master is the development branch for icon 2 0 and the base is the branch shared with enterprises and public blockchains therefore the updates only focused on the base modules will be committed to the base branch while the economics and governance logics focused updates are committed to the master branch we will update more detailed guidelines to collaborate with community developers license this project is available under the apache license version 2 0 license community the following links are the icon community developer chat channel developer website and community forum more detailed information regarding goloop will be updated on the links below icon community developer chat channel https t me icondevs icon developer portal https www icondev io icon community forum https forum icon community | blockchain icon | blockchain |
udacitystaticsitewrok | project documentation deploying a static website on aws 1 introduction in today s digital age having an online presence is crucial for businesses individuals and organizations websites serve as the primary interface between users and the services or information they seek this project focuses on deploying a static website on aws leveraging the power of s3 for hosting and cloudfront for efficient content delivery 2 real life significance scalability by hosting on aws s3 the website can handle a vast number of requests this scalability ensures that as the user base grows the website remains responsive and available performance with cloudfront users experience low latency and high transfer speeds ensuring a seamless browsing experience this is especially vital for businesses where user retention is closely tied to website performance cost efficiency static websites on s3 incur lower costs compared to traditional hosting solutions you only pay for the storage used and the data transferred making it a cost effective solution for startups and smes security using iam policies to secure the s3 bucket ensures that the website s content remains protected from unauthorized access or malicious attacks 3 devops best practices infrastructure as code iac automate the creation of the s3 bucket and cloudfront distribution using tools like aws cloudformation or terraform this ensures repeatability and consistency across deployments continuous integration and continuous deployment ci cd implement a ci cd pipeline to automate the deployment of website updates this ensures that any changes to the website are tested and deployed efficiently monitoring and logging integrate aws cloudwatch to monitor the health and performance of the s3 bucket and cloudfront distribution this provides real time insights and alerts on any potential issues backup and disaster recovery regularly backup the s3 bucket contents in case of any unforeseen issues a recovery plan should be in place to restore the website to its previous state step by step plan deploying a travel and tour website on aws 1 preparation website content ensure that the static website content for the travel and tour website including html css javascript files and any images or media is ready for deployment 2 aws console access login access the aws management console using your credentials services navigate to the services dropdown and select the required services s3 iam cloudfront 3 s3 bucket creation and configuration create bucket in the s3 dashboard click on create bucket name it something relevant like travelandtour website region selection choose a region close to your primary audience for better latency bucket settings leave the default settings but ensure that block all public access is unchecked since this is a public website upload content navigate to the newly created bucket and upload all the website files static website hosting in the bucket properties enable static website hosting note the endpoint url provided you ll need it for cloudfront 4 security with iam create policy in the iam dashboard create a new policy that allows public read access to the s3 bucket use a json statement like json version 2012 10 17 statement effect allow principal action s3 getobject resource arn aws s3 travelandtour website attach policy to bucket go back to the s3 bucket and attach this policy ensuring public read access 5 content delivery with cloudfront create distribution in the cloudfront dashboard click on create distribution web distribution choose web as the delivery method origin settings for origin domain name select the s3 bucket endpoint url from the dropdown default cache behavior accept the default settings but ensure redirect http to https is enabled for security distribution settings choose a price class based on your target audience for a global audience select use all edge locations deploy click on create distribution note the cloudfront domain name this will be the primary url for accessing the website 6 accessing the website once the cloudfront distribution is deployed it might take some time you can access the travel and tour website using the unique cloudfront domain name 7 optional custom domain and ssl if you have a custom domain like travelandtour com you can configure it with route 53 and attach an ssl certificate using aws certificate manager for a professional touch by following this plan you ll have a travel and tour website hosted on aws s3 secured with iam and delivered efficiently using cloudfront this setup ensures scalability performance and security for your online presence udacitystaticsitewrok first assignment on devops cloud engineering udacity s3 url http sem staticsite s3 website us east 2 amazonaws com s3 buckect name sem staticsite cloudfront url https dgkzby30omhr0 cloudfront net | cloud |
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GITM | div align center h1 ghost in the minecraft generally capable agents for open world environments via large language models with text based knowledge and memory h1 img width 300 alt image src figs logo png arxiv paper https arxiv org abs 2305 17144 div minecraft as the world s best selling game boasts over 238 million copies sold and more than 140 million peak monthly active users within the game hundreds of millions of players have experienced a digital second life by surviving exploring and creating closely resembling the human world in many aspects minecraft acts as a microcosm of the real world developing an automated agent that can master all technical challenges in minecraft is akin to creating an artificial intelligence capable of autonomously learning and mastering the entire real world technology ghost in the minecraft gitm is a novel framework integrates large language models llms with text based knowledge and memory aiming to create generally capable agents in minecraft gitm features the following characteristics broad task coverage all previous agents combined can only achieve 30 completion rate of all items in the minecraft overworld technology tree while gitm is able to unlock 100 of them high success rate gitm achieves 67 5 success rate on the obtaindiamond task improving the sota openai s vpt by 47 5 excellent training efficiency openai s vpt needs to be trained for 6 480 gpu days deepmind s dreamerv3 needs to be trained for 17 gpu days while our gitm does not need any gpus and can be trained in 2 days using only a single cpu node with 32 cpu cores this research shows the potential of llms in developing capable agents for handling long horizon complex tasks and adapting to uncertainties in open world environments div align center img src figs different items gif alt alt text width 700 gitm can handle various biomes environments day and night scenes and even encounter monsters with ease img width 800 alt image src figs fig1 png div demo video due to size limit of github the video is played at 2x speed and the part of finding ores is played at 10x speed obtain enchanted book https github com opengvlab gitm assets 39956983 a3fb6ca7 aed5 4e16 821d 0b0284704ffd the enchanted book is the ultimate creation in the technology tree of minecraft overworld watch high definition video on youtube https youtu be qddd3qp41zo obtain diamond https github com opengvlab gitm assets 39956983 40b43d92 7113 4497 a577 acb81603bf4e watch high definition video on youtube https youtu be r0nrjlsoxvw overview the biggest dilemma of previous rl based agents is how to map an extremely long horizon and complex goal to a sequence of lowest level keyboard mouse operations to address this challenge we propose our framework ghost in the minecraft gitm which uses large language model llm based agents as a new paradigm instead of direct mapping like rl agents our llm based agents employ a hierarchical approach it first breaks down the decompose goal into sub goals then into structured actions and finally into keyboard mouse operations div align center img width 800 alt image src figs fig2 png div the proposed llm based agent consists of a llm decomposer a llm planner and a llm interface which are responsible for the decomposition of sub goals structured actions and keyboard mouse operations respectively llm decomposer first decomposes a goal in minecraft into a series of well defined sub goals according to the text based knowledge collected from the internet llm planner then plans a sequence of structured actions for each sub goal llm planner also records and summarizes successful action lists into a text based memory to enhance future planning llm interface execute the structured actions to interact with the environment by processing raw keyboard mouse input and receiving raw observations div align center img width 800 alt image src figs fig3 png div results success rate for the entire technology tree div align center img width 800 alt image src figs success rate all items bar png div gitm achieves non zero success rates for all items which indicates a strong collecting capability while all previous methods combined can only complete 30 of these items success rate for the obtaindiamond challenge methods crafting table img width 15 alt image src figs crafting table jfif wooden pickaxe img width 15 alt image src figs wooden pickaxe png stone pickaxe img width 15 alt image src figs stone pickaxe png iron pickaxe img width 15 alt image src figs iron pickaxe jfif diamond img width 15 alt image src figs diamond jfif dreamerv3 50 0 3 0 0 01 0 01 deps 90 0 80 0 73 3 10 0 0 6 vpt 100 0 100 0 100 0 85 0 20 0 our gitm 100 0 100 0 100 0 95 0 67 5 learning efficiency div align center img width 600 alt image src figs learning efficiency png div gitm only requires a single cpu node with 32 cores for training compared with 6 480 gpu days of openai s vpt and 17 gpu days of deepmind s dreamerv3 gitm improves the efficiency by at least 10 000 times citation if you find this project useful in your research please consider cite article zhu2023ghost title ghost in the minecraft generally capable agents for open world environments via large language models with text based knowledge and memory author zhu xizhou and chen yuntao and tian hao and tao chenxin and su weijie and yang chenyu and huang gao and li bin and lu lewei and wang xiaogang and qiao yu and zhang zhaoxiang and dai jifeng journal arxiv preprint arxiv 2305 17144 year 2023 | artificial-intelligence llms minecraft reinforcement-learning gitm ghost-in-the-minecraft | ai |
front-end-challenge | front end challenge desafio para os futuros front end s do personare https github com personare introdu o a nossa product owner pensou em um produto fant stico para ser desenvolvido e um dos desafios cria o de um jogo de tarot br ent o essa a sua miss o criar um jogo de tarot permitindo o sorteio de uma carta e as especifica es s o tela de apresenta o exibindo todas as cartas com seu conte do vis vel e com um bot o para iniciar o jogo ao clicar no bot o as cartas dever o ser viradas escondendo o conte do e embaralhadas permitir que o usu rio selecione apenas uma carta clicando na mesma apresentar a carta selecionada o nome da carta e uma descri o a descri o pode ser um lorem ipsum obs as imagens e nomes das cartas est o listadas no arquivo tarot json tarot json esse arquivo deve ser consumido via http request a propriedade image de cada carta deve ser concatenada com a propriedade imagesurl para obter o endere o final da imagem utilize o valor da propriedade imagebackcard para obter a imagem do fundo da carta instru es 1 efetue o fork deste reposit rio e crie um branch com o seu nome ex caue alves 2 ap s finalizar o desafio crie um pull request 3 aguarde algum contribuidor realizar o code review pr requisitos aplica o feita em react possuir testes gerar vers o de produ o criar micro commits ou commits por features detalhar nos coment rios dos commits as decis es tomadas diferenciais boa documenta o testes de componentes isolados d vidas se surgir alguma d vida consulte as perguntas feitas anteriormente https github com personare front end challenge labels question caso n o encontre a sua resposta sinta se vontade para abrir uma issue https github com personare front end challenge issues new | front_end |
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freertos-addons | freertos addons after working with freertos for over 12 years i decided to start adding features and implementations that i wish would have been there at the beginning current features c wrappers coverity scan build status https scan coverity com projects 9669 badge svg https scan coverity com projects michaelbecker freertos addons a collection of c wrappers encapsulating freertos functionality allowing you to write your rtos application in c while still using freertos this wrapper layer does all the integration work for you this library is for you if you are planning on using c and freertos in your project but don t want to spend the time integrating the two everything was tested successfully using freertos versions 8 2 3 9 0 0 10 0 0 and 10 5 1 there are numerous demo unit test projects using these wrappers and various features they provide last count we are at 48 demo projects showing how you might use the c wrapper library licensing now follows the mit open source license https opensource org licenses mit the same as freertos https www freertos org a00114 html starting from version 10 0 0 project web page http michaelbecker github io freertos addons full cross referenced documentation http michaelbecker github io freertos addons cppdocs html index html documents were auto generated and cross referenced using doxygen c add on wrappers a collection of c add on functionality for freertos right now these consist of memory pools fixed size memory allocation buffers using these elminates the possibility of memory fragmentation there is overhead associated with these so it s better if you are maximizing the size of each allocation reader writer locks these allow multiple threads to simultaneously access a shared resource all as readers if something needs to change then a writer lock needs to be taken which will allow a singe thread to modify the shared resource workqueues these allow you to queue work i e a function to a different thread useful if you have a lot of one off things that need to be done in different threads but they happen very asynchronous licensing now follows the mit open source license https opensource org licenses mit the same as freertos https www freertos org a00114 html starting from version 10 0 0 there are numerous demo unit test projects using these wrappers and various features they provide last count we are at 10 demo projects showing how you might use the c libraries in addition to support these there are implementations of standard optimized compter science singly linked lists doubly linked circular lists queues and stacks full cross referenced documentation http michaelbecker github io freertos addons cdocs html index html documents were auto generated and cross referenced using doxygen updated linux port removed i have switched to using the distributed gcc posix port that comes with the freertos kernel under the thirdparty directory all demos have been updated to point to this port overall releases version 1 6 1 https github com michaelbecker freertos addons releases tag v1 6 1 updated demos to now use the new freertos kernel directory structure hosted on github updated demos to use the supported distributed gcc posix port in the thirdparty directory of the freertos kernel demos work with version 10 5 1 of the freertos kernel cleaned up demo makefiles leveraging a few common makefiles which are included in most other ones also renamed from makefile to makefile to better match linux make case conventions version 1 6 0 https github com michaelbecker freertos addons releases tag v1 6 0 c wrappers 1 6 0 merged in event groups work from danilo pucci smokovitz dnlps hotmail com updated license to mit updated doxygen documentation c add ons 1 1 0 fixed bugs in memory pools added initial implementation of zero copy queues updated license to mit updated doxygen documentation linux port merged in some of the work done by kkoovalsky to handle cleanup better this does not solve all issues see https github com michaelbecker freertos addons issues 14 for details version 1 5 1 https github com michaelbecker freertos addons releases tag v1 5 1 c wrappers 1 5 0 added alignment requirements to memory pools updated doxygen documentation c add ons 1 0 1 added static allocated fixed size memory pools updated doxygen documentation version 1 5 0 starting to independently version the overall project vs the unique packages within it https github com michaelbecker freertos addons releases tag v1 5 0 added new major feature c add ons this is version 1 0 0 of the c add ons c add ons include fixed size memory pools read write locks work queues version 1 4 0 https github com michaelbecker freertos addons releases tag v1 4 0 added new feature fixed size memory pools and associated unit tests version 1 3 2 https github com michaelbecker freertos addons releases tag v1 3 2 bug fixes to 1 3 1 regarding the critical section wrapper code prior to this version in critical hpp will not compile successfully added a demo project using straight c and the updated linux simulator only version 1 3 1 https github com michaelbecker freertos addons releases tag v1 3 1 bug fixes to 1 3 0 related to defining vtaskdelete to 0 as well as needing to make the timer class s dtor virtual many thanks to ewout boks from the han technical college arnhem the netherlands for finding these version 1 3 0 https github com michaelbecker freertos addons releases tag v1 3 0 added preprocessor variable cpp freertos no cpp strings if you do not want to use c strings simply define this in your makefile or project note that if you define this you must also define cpp freertos no exceptions some classes throw exceptions if they cannot be constructed and the exceptions they throw depend of c strings added an implementation of condition variables these are not enabled by default to use define cpp freertos condition variables also include the files condition variable hpp and ccondition variable cpp in your project version 1 2 0 https github com michaelbecker freertos addons releases tag v1 2 0 adding preprocessor flag to exclude exceptions for smaller footprint and c compilers that do not support them updated license to one similar to freertos version what does that mean for you it means you are free to use freertos c wrappers in your commercial product without making your product open source version 1 1 0 https github com michaelbecker freertos addons releases tag v1 1 0 adding object oriented work queues coverity scan analysis performed with bug fixes see https scan coverity com projects michaelbecker freertos addons version 1 0 2 https github com michaelbecker freertos addons releases tag v1 0 2 fixed a major bug in thread creation see https www linkedin com pulse apples kumquats perils multi threaded polymorphism michael becker version 1 0 1 https github com michaelbecker freertos addons releases tag v1 0 1 changed license from gplv3 to gplv2 or later to accomodate freertos s modified gplv2 license see https www gnu org licenses gpl faq html allcompatibility for more information version 1 0 0 https github com michaelbecker freertos addons releases tag v1 0 0 initial release todo this is my todo list for this project if there s something you d like to see done sooner feel free to make a request freertos features not yet implemented events mpu restricted threads etaskgetstate uxtaskgetnumberoftasks uxtaskgetstackhighwatermark thread local storage new value added in timers add onstop onstart mutex sync with these methods priority queues tick hooks option to round robin hooks one per tick | freertos cpp-freertos freertos-addons cpp rtos | os |
linapple-pie | linapple pie port of linapple2b optimized for front end usage changes done by mark ormond supports mounting and running disks from the command line and remapping joystick see readme linapple pie for changes visit the original linapple page at http linapple sourceforge net and the original applewin page at https github com applewin see the readme file for more info | front_end |
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Machine-Learning-A-Probabilistic-Perspective-Solutions | machine learning a probabilistic perspective solutions motivation hey there i am recording the solutions of the exercises of the fourth printing of this book in this repository the only exercises that i do not intend to do in this first run are those which explicit require matlab any computational exercise will be done in python using a jupyter notebook i will follow a schema where i give a introduction and some insight into the problem solve it and then make some remarks on the solution i strongly reccomend the reading of the intro and conclusion section of the exercises that you re interested in i intend to update the solutions in a reasonable pace starting now january 2017 i hope this might help anyone who has an interest in the book and machine learning as a whole | ai |
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Acoustic-Phantom-RPi | acoustic phantom rpi cmu 18549 embedded system capstone design project this repo contains code to be run on the raspberry pi | os |
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ict4d-guide | images logo png ict4d guide this is an open and accessible guide to help field staff in information and communication technologies for development ict4d projects around the world this guide is the result of many people s experiences working in the field be it domestically in their country or internationally around the world this is an open ongoing and collaborative effort so please help us by contributing to the guide ready to jump in browse the guide here works on mobile as well or download a pdf https www gitbook com download pdf book gabrielkrieshok ict4d guide epub https www gitbook com download epub book gabrielkrieshok ict4d guide or mobi https www gitbook com download mobi book gabrielkrieshok ict4d guide version of the guide ready to collaborate head on over to the book source https github com gabrielkrieshok ict4d guide on github or browse the issues https github com gabrielkrieshok ict4d guide issues page to get started ready to contibute see the contributing guide about contributing md contents the guide is divided into four parts part i basics part 1 basics md broadly describes digital development ict4d and using data for social good part ii tools part 2 tools md gives an overview of useful tools technologies and services of the trade for digital development workers part iii topics part 3 topics md identifies key focus area topics and associated helpful resources part iv learn part 4 learn md helps get started to learn more about particular topics tools and approaches who this guide is for the content of the guide favors people who have some familiarity with digital development ict4d and international development but should be accessible and engaging to everyone this guide should not be considered as a comprehensive resource to those working in digital development the value of this guide is that it is a concise and accessible resource to provide a reference of resources to get you started or moving along through a project who made this this guide and resources were prepared through many nights and weekends by gabriel krieshok https gabrielkrieshok com a rel license href http creativecommons org licenses by sa 4 0 img alt creative commons license style border width 0 src https i creativecommons org l by sa 4 0 88x31 png a br this work is licensed under a a rel license href http creativecommons org licenses by sa 4 0 creative commons attribution sharealike 4 0 international license a | server |
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starterkit | carlos cuesta starter kit build status https img shields io travis carloscuesta starterkit svg style flat square https travis ci org carloscuesta starterkit dependency status https img shields io david dev carloscuesta starterkit svg style flat square https david dm org carloscuesta starterkit info devdependencies github release https img shields io github release carloscuesta starterkit svg style flat square https github com carloscuesta starterkit releases xo code style https img shields io badge code style xo 5ed9c7 svg style flat square https github com sindresorhus xo p align center img src https cloud githubusercontent com assets 7629661 9838465 89626e74 5a5e 11e5 9b7d e0ce76856732 gif alt carlos cuesta starterkit p a simple starterkit boilerplate that i use to realize my front end static development projects if you have comments or suggestions feel free to give me a shout on twitter http twitter com crloscuesta also checkout the yeoman generator startekit https github com carloscuesta generator starterkit technologies gulp http gulpjs com automate and enhance your workflow pug https pugjs org terse language for writing html templates sass http sass lang com css with superpowers babel https babeljs io use next generation javascript today es5 es6 flexboxgrid http flexboxgrid com a grid system based on the flex display property nodejs https nodejs org javascript runtime built on chrome s v8 javascript engine requirements and use requirements node js https nodejs org en gulp http gulpjs com bash npm install g gulp use bash git clone https github com carloscuesta starterkit git cd starterkit npm install gulp tasks gulp runs the default task dev including the following ones styles scss compiling to css css minification and autoprefixing templates pug compiling and rendering to html scripts es6 to es5 with babel scripts minification and concatenation into a single file images image compression beautify beautify your preproduction files at dist serve starts a server at dist with all your compiled files looking for file changes and injecting them into your browser gulp build builds your project runs the following tasks styles templates scripts images beautify gulp optimize optimizes your project to improve the pagespeed runs uncss removes unused css from your styles file using uncss https github com giakki uncss critical extract and inline critical path above the fold css from html using critical https github com addyosmani critical images gulp deploy deploy your dist folder into your server or surge cloud runs optimize ftp uploads dist to ftpuploadsdir https github com carloscuesta starterkit blob master gulpfile js l58 surge uploads your dist to surge http surge sh if you want to use the deploy task you will have to edit the gulpfile js https github com carloscuesta starterkit blob master gulpfile js l65 lines between 65 69 with your ftp connection info host https github com carloscuesta starterkit blob master gulpfile js l68 user https github com carloscuesta starterkit blob master gulpfile js l69 password https github com carloscuesta starterkit blob master gulpfile js l70 if you want to use surge http surge sh instead of ftp just setup a domain name in the surgeinfo domain https github com carloscuesta starterkit blob master gulpfile js l77 once you setup ftpcredentials you will have to choose a directory of your server where the deploy will go ftpuploadsdir https github com carloscuesta starterkit blob master gulpfile js l58 now you will be able to use gulp deploy and your dist folder will go up to your ftp server use npm run to list the gulp tasks available you can run the tasks too using the npm run scriptname that is on the list project structure dist minified optimized and compiled files assets assets folder css css style files files static files img images folder js js files html rendered and compiled htmls from pug node modules node modules dependencies and packages src source files images images non compressed scripts javascript files styles scss style files includes styles scss partials templates templating pug files includes templating pug partials gulpfile js gulp automatization file demo starterkit terminal https cloud githubusercontent com assets 7629661 10411914 803cb756 6f75 11e5 82c3 b0832b425b77 gif license the code is available under the mit https github com carloscuesta starterkit blob master license license | starterkit gulp | front_end |
LaserObjectTracker | lot the laser object tracker welcome to the official repository dedicated to the lot project this project is distributed under the gnu general public license v2 or later lot is an embedded system designed to automatically detect track and point a ball using a raspberry pi camera and servomotors please don t forget to check the wiki link on the left alt tag https cloud githubusercontent com assets 10380160 7783192 2d01ef70 0139 11e5 8975 65940e033ab0 jpg it was created for arm architecture processors such as the cortex a7 and it is written in the c language two librairies are used opencv http opencv org raspicam https github com cedricve raspicam they are open source here is what you need a raspberry pi b to detect and command servomotors a raspberry pi camera to take screenshots of the environment a home made electronic circuit to adjust the power a laser to point the ball 2 servomotors to control the x and y axis source codes are now available btr team | os |
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near-api-js | near javascript api build status https travis ci com near near api js svg branch master https travis ci com near near api js gitpod ready to code https img shields io badge gitpod ready to code blue logo gitpod https gitpod io https github com near near api js near javascript api is a complete library to interact with the near blockchain you can use it in the browser or in node js runtime documentation learn how to use https docs near org tools near api js quick reference the library in your project read the typedoc api https near github io near api js documentation cookbook packages cookbook with common use cases to quickly get started with integrating near in a web browser read our web frontend integration https docs near org develop integrate frontend article contribute to this library 1 install dependencies pnpm install 2 run continuous build with pnpm r compile w publish prepare dist version by running pnpm dist integration test start the node by following instructions from nearcore https github com nearprotocol nearcore then pnpm test tests use sample contract from near hello npm package see https github com nearprotocol near hello update error schema follow next steps 1 change hash for the commit with errors in the nearcore https github com near near api js blob master fetch error schema js l8 l9 2 fetch new schema node fetch error schema js 3 pnpm build to update lib js files packages package architecture in onion diagram docs package architecture png https www figma com file tzapceviabyw6a6kauemce naj packages t n9nlkgboax9fyxon 1 accounts https github com near near api js tree master packages accounts account creation management crypto https github com near near api js tree master packages crypto cryptographic key pairs signing keystores https github com near near api js tree master packages keystores general purpose key persistence management keystores browser https github com near near api js tree master packages keystores browser browser keystores keystores node https github com near near api js tree master packages keystores node nodejs keystores providers https github com near near api js tree master packages providers rpc interaction transactions https github com near near api js tree master packages transactions transaction composition signing types https github com near near api js tree master packages types common types utils https github com near near api js tree master packages utils common methods wallet account https github com near near api js tree master packages wallet account accounts in browser based wallets license this repository is distributed under the terms of both the mit license and the apache license version 2 0 see license license and license apache license apache for details | blockchain smartcontracts javascript hacktoberfest | blockchain |
Bound-Cap-LLM | bounding the capabilities of large language models in open text generation with prompt constraints this repo contains codes for the following paper albert lu hongxin zhang yanzhe zhang xuezhi wang diyi yang bounding the capabilities of large language models in open text generation with prompt constraints eacl 2023 findings if you would like to refer to it please cite the paper mentioned above prompts and generations we provide all our created 288 prompts and 3000 generated responses from openai text davinci 002 opt bloom glm in the following structure for better future utilization for the full prompt list please refer to our paper and the prompts txt file under each folder structural descriptive prompts txt formatting code prompts txt email prompts txt paper prompts txt numerical babbage curie t0 t0 4 t0 9 template2 prompts txt stylistic literary style mood tone writing style prompts txt story generation characterization genre pacing plot prompts txt sensitivity ada babbage curie t0 4 t1 bloom glm opt prompts txt mitigation definition demonstration explanation prompts csv run experiments and analysis to run your own experiments on custom prompts or parameters use the run py for example python3 run py n 10 verbose output file structural numerical 1 prompt write 10 words about bananas there are several ways for you to provide the prompts for more details please refer to the code to run analysis on collected generations please refer to the code in mturk and utils py | ai |
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designsystem | notebook with decorative cover design system guide are you planning to develop a design system or just curious to know what design system is if yes then here is a detailed guide for you no matter who you are a designer developer product owner ux writer tester etc this guide has something for everyone question why this guide from the last few months i have been working on design system at my workplace there were challenges along with lots of learnings i was sharing my experience on social media many people showed their interest on this topic hence i have documented my learnings on the design system bulb agenda what is design system why you need a design system how to start https github com neha designsystem blob master step0 md designer guide for design system https github com neha designsystem blob master designer guide md developer guide for design system wip https github com neha designsystem blob master developer guide md post design system guide best practises of design system resources resources bulb what is design system a single source of the truth for the designers developers and the products bulb why you do need a design system design system is not a new thing these are here from decades thanks to our very complex ui and ux as well as rapidly changing technology companies are moving towards the design system to also make sure that point right brand guidelines of the organization is followed by every product and project of the organization point right code guidelines of the organization should be followed by every product and project within the organization point right designers and engineers can focus on more important and creative work rahter than just doing same task again point right remove the redundant tasks bulb how to start this is the most important question for everyone who is new to design system if you google design system guide the result you will get is what design system is what it has etc but no one explains how to start a design system from a ux ui product lead or tester presepctive here is the process which i have followed and you can follow too for developers do not start with the code for designers do not start with the design most important task is to understand clearly about the scope of the design system problems you are trying to solve by design system requirements of the organiztion product projects step 0 https github com neha designsystem blob master step0 md step 1 designer guide for design system https github com neha designsystem blob master designer guide md step 2 develoepr guide for design system wip https github com neha designsystem blob master developer guide md bulb resources white check mark tinyconf bangalore 2019 design design system for reusability https docs google com presentation d 151uqocm56brwtoka40z4nc3lfmubgxtzgzr keduy08 edit usp sharing white check mark react boston 2019 your guide for scalable in design system https docs google com presentation d 1fgy2l2nsexlct 5pesevtvvfvrxuqlh1t0bz4empuwe edit usp sharing white check mark google devfest new delhi 2019 design your design system https docs google com presentation d 1sifc2g83spjaf7ytcya5m3bfrpqxhhmxwun3qckn5k8 edit usp sharing | os |
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nlppt | natural language processing for portuguese nlppt this library is a set of tools and functions to help natural language processing tasks specific for portuguese language fuctions and tools covered ok sentence splitting ok word tokenization ok lemmatization ok word morfological analysis ok stemming word spelling check portuguese vocabulary grammar checker multi word expression tokenization portuguese language model portuguese wordvectors word2vec model part of speech tagger two models one trained in macmorpho other in google utb corpus macmorpho revisited machado bosque universal tree bank product reviews lexicons and wordnets wordnet br openwordnet verbnet unitex pb unitex pt sentiment lexicons gazetters named entities model and interface for stanford corenlp dependency parser on utb interface for palavras parser named entity detection wordsense disamgbiguation sentiment analysis text summarization | ai |
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php-best-practices | php best practices apart from consulting php the right way https phptherightway com clean code adapted for php https github com jupeter clean code php awesome php libraries and resources https github com ziadoz awesome php my personal blog https chemaclass com blog teamwork agile team work agile md agile software development values agreements team work agreements md we need conventions code reviews team work code reviews md pair programming pull request documentation team work documentation md document your knowledge estimations team work estimations md discover the unknowns knowledge sharing team work knowledge sharing md follow the news of your stack technical skills comments technical skills comments md they are not always updated decoupled business logic technical skills decoupled business logic md abstraction concretions layers and dependencies final classes technical skills final classes md composition over inheritance functions technical skills functions md they should be small git mastering technical skills git mastering md the best software version control ide technical skills ide md know your ide immutability technical skills immutability md it makes the code more predictable meaningful names technical skills meaningful names md it should tell you why it exists and what it does minimum scope technical skills minimum scope md for your variables methods and classes performance tips technical skills performance tips md use strict comparison strict types technical skills strict types md use strict types constant when possible static analysis technical skills static analysis md identify bugs in your code testing technical skills testing md test what your software does | best-practices web-development php agile-development php-best-practices strict-types team-work knowledge-sharing knowledge discover learning continual-learning agile clean-code quality quality-improvement | front_end |
ml | machine learning deep learning roadmap beginner understand basic concepts learn python and be able to differentiate machine learning data mining and deep learning introduction interview with tom mitchell http videolectures net mlas06 mitchell itm a gentle guide to machine learning https blog monkeylearn com a gentle guide to machine learning what is the difference between data analytics data analysis data mining data science machine learning and big data https www quora com what is the difference between data analytics data analysis data mining data science machine learning and big data 1 data mining vs artificial intelligence vs machine learning http upfrontanalytics com data mining vs artificial intelligence vs machine learning a visual introduction to machine learning http www r2d3 us visual intro to machine learning part 1 get started with python https www python org syntax data types strings control flow functions classes exceptions networking asynchronous task function decorator annotation context manager multiprocessing etc machine learning resources for getting started online video course build intelligent applications https www coursera org specializations machine learning python stanford machine learning https www coursera org learn machine learning octave overview papers the discipline of machine learning http www cs cmu edu tom pubs machinelearning pdf a few useful things to know about machine learning http homes cs washington edu pedrod papers cacm12 pdf beginner machine learning books programming collective intelligence https www safaribooksonline com library view programming collective intelligence 9780596529321 machine learning for hackers https www safaribooksonline com library view machine learning for 9781449330514 machine learning 2nd edition https www safaribooksonline com library view machine learning 2nd 9781466583283 data mining practical machine learning tools and techniques third edition https www safaribooksonline com library view data mining practical 9780123748560 practical machine learning https www safaribooksonline com library view practical machine learning 9781784399689 complete at least the online video course start a small project for creating a python web crawler application and a restful service to explore data stored novice get familiar with python machine learning libraries install and practice python libraries pip https pypi python org pypi pip asyncio https docs python org 3 library asyncio html jupyter http jupyter org scikit learn http scikit learn org quick start tutorial http scikit learn org stable tutorial basic tutorial html user guide http scikit learn org stable user guide html api reference http scikit learn org stable modules classes html example gallery http scikit learn org stable auto examples index html papers scikit learn machine learning in python http jmlr org papers v12 pedregosa11a html api design for machine learning software experiences from the scikit learn project http arxiv org abs 1309 0238 books learning scikit learn machine learning in python https www safaribooksonline com library view learning scikit learn machine 9781783281930 building machine learning systems with python second edition https www safaribooksonline com library view building machine learning 9781784392772 machine learning with scikit learn tutorial http amueller github io sklearn tutorial scikit learn http scikit learn org is built upon the scipy http www scipy org scientific python includes numpy http www numpy org base n dimensional array package python numpy tutorial http cs231n github io python numpy tutorial scipy http www scipy org fundamental library for scientific computing pandas http pandas pydata org data structures and analysis python for data science cheat sheet https assets datacamp com blog assets pandaspythonfordatascience pdf sympy http www sympy org symbolic mathematics matplotlib http matplotlib org comprehensive 2d 3d plotting ipython http ipython org enhanced interactive console study scikit learn http scikit learn org read documentation and summarize the capabilities of scikit learn http scikit learn org linear regression example in python http scipy cookbook readthedocs io items linearregression html linear regression using scikit learn http scikit learn org stable modules generated sklearn linear model linearregression html logistic regression using scikit learn http scikit learn org stable modules generated sklearn linear model logisticregression html regression analysis using python statsmodels package http blog yhat com posts logistic regression python rodeo html using logistic regression in python for data science http www dummies com programming big data data science using logistic regression in python for data science logistic regression and gradient descent notebook http nbviewer jupyter org github tfolkman learningwithdata blob master logistic 20gradient 20descent ipynb regression analysis using python statsmodels package http www turingfinance com regression analysis using python statsmodels and quandl k nearest neighbours in python http scikit learn org stable modules neighbors html an introduction to supervised learning via scikit learn http bugra github io work notes 2014 11 22 an introduction to supervised learning scikit learn an introduction to unsupervised learning via scikit learn http bugra github io work notes 2014 11 16 an introduction to unsupervised learning scikit learn start a project to implement a simpler algorithm like a perceptron k nearest neighbour or linear regression write little programs to demystify methods and learn all the micro decisions required to make it work intermediate learn neural networks and understand deep learning online video courses neural networks for machine learning https www coursera org learn neural networks books deep learning http www deeplearningbook org deep learning tutorial http deeplearning net tutorial deeplearning pdf neural networks and deep learning http neuralnetworksanddeeplearning com papers imagenet classification with deep convolutional neural networks http papers nips cc paper 4824 imagenet classification with deep convolutional neural networks pdf deep learning in a nutshell core concepts https devblogs nvidia com parallelforall deep learning nutshell core concepts study one of the machine learning dataset from data gov https www data gov clearly describe the problem that the dataset represents summarize the data using descriptive statistics describe the structures you observe in the data and hypothesize about the relationships in the data spot test a handful of popular machine learning algorithms on the dataset tune well performing algorithms and discover the algorithm and algorithm configuration that performs well on the problem design small experiments using the datasets for studying linear regression or logistic regression then answer a specific question and report results try to port an open source algorithm code from one language to another advanced get to know the python frameworks for deep learning and focus on tensorflow study neural networks in python implementing a neural network from scratch in python http www wildml com 2015 09 implementing a neural network from scratch a neural network in 11 lines of python http iamtrask github io 2015 07 12 basic python network get familiar with the neural networks libraries caffe a deep learning framework made with expression speed and modularity in mind theano cpu gpu symbolic expression compiler in python tensorflow http tensorflow org an open source software library for numerical computation using data flow graphs lasagne a lightweight library to build and train neural networks in theano keras check the links below deep learning software links http deeplearning net software links check rest of deep learning libraries by language http www teglor com b deep learning libraries language cm569 deep learning with python study tensorflow https www tensorflow org study keras https keras io a high level neural networks library which allows for easy and fast prototyping through total modularity minimalism and extensibility books hands on machine learning with scikit learn and tensorflow https www safaribooksonline com library view hands on machine learning 9781491962282 first contact with tensorflow http jorditorres org first contact with tensorflow getting started with tensorflow https www safaribooksonline com library view getting started with 9781786468574 videos videos from tensorflow silicon valley meetup jan 19 2016 https blog altoros com videos from tensorflow silicon valley meetup january 19 2016 html videos from tensorflow seattle meetup jan 21 2016 https blog altoros com videos from tensorflow seattle meetup jan 21 2016 html code samples learning tensorflow https github com chetannaik learning tensorflow tensorflow https www tensorflow org knowledge points graph session variable fetch feed tensorboard playground mnist practice apis linear regression logistic regression modeling and training gradients and the back propagation algorithm activation functions cnn rnn and lstm dnn unsupervised learning restricted boltzmann machine and collaborative filtering with rbm auto encoders deep belief network gpu programming and serving version 0 3 by michael | ai |
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caliper | hyperledger caliper https wiki hyperledger org download attachments 2392434 hyperledger caliper logo color svg version 1 modificationdate 1548883186000 api v2 ci https github com hyperledger caliper actions workflows main yml badge svg https github com hyperledger caliper actions workflows main yml codecov https codecov io gh hyperledger caliper branch main graph badge svg token rvfhtnrzbj https codecov io gh hyperledger caliper cii best practices https bestpractices coreinfrastructure org projects 2381 badge https bestpractices coreinfrastructure org projects 2381 license https img shields io badge license apache 202 0 blue https github com hyperledger caliper blob main license node scoped https img shields io node v hyperledger caliper cli https www npmjs com package hyperledger caliper cli npm scoped https img shields io npm v hyperledger caliper cli label version https www npmjs com package hyperledger caliper cli npm https img shields io npm dt hyperledger caliper cli label npm 20downloads https www npmjs com package hyperledger caliper cli docker pulls https img shields io docker pulls hyperledger caliper https hub docker com r hyperledger caliper discord chat https img shields io badge discord caliper red https discord com channels 905194001349627914 941417677778473031 mailing list https img shields io badge mailing 20list caliper blue https lists hyperledger org g caliper topics welcome to the hyperledger caliper project caliper is a blockchain performance benchmark framework which allows users to test different blockchain solutions with predefined use cases and get a set of performance test results currently supported blockchain solutions hyperledger besu https github com hyperledger besu utilizing the ethereum adapter hyperledger fabric v1 x v2 x https github com hyperledger fabric ethereum https github com ethereum go ethereum fisco bcos https github com fisco bcos fisco bcos currently supported performance indicators success rate transaction read throughput transaction read latency minimum maximum average resource consumption cpu memory network io see the pswg white paper https www hyperledger org resources publications blockchain performance metrics to find out the definitions and corresponding measurement methods for more information on using caliper please consult the documentation site https hyperledger github io caliper configuration and usage see the related documentation page https hyperledger github io caliper how to contact us if you have any issues using caliper that the documentation does not help you solve please reach out to us through the following methods discord https discord com channels 905194001349627914 941417677778473031 please feel free to contact us on discord instant messaging we monitor the caliper channels as closely as possible but even if you don t have a problem that needs resolving why not jump on and say hi we d love to hear from you about your experiences and any new features you think we should work on issues https github com hyperledger caliper issues feel free to raise an issue if you are facing a caliper related problem caliper interacts with multiple blockchain technologies and consequently it might be an issue with the underlying blockchain technology being interacted with you can seek specific help on these technologies on the same discord server such as the fabric or besu channels how to contribute we welcome contributions to the caliper code base please see contributing contributing md for more information license hyperledger project source code files are made available under the apache license version 2 0 apache 2 0 located in the license license file hyperledger project documentation files are made available under the creative commons attribution 4 0 international license cc by 4 0 available at http creativecommons org licenses by 4 0 | benchmark blockchain caliper hacktoberfest | blockchain |
iotagent-ul | iot agent for the ultralight 2 0 protocol fiware iot agents https nexus lab fiware org static badges chapters iot agents svg https www fiware org developers catalogue license apgl https img shields io github license telefonicaid iotagent ul svg https opensource org licenses agpl 3 0 support badge https img shields io badge tag fiware iot orange svg logo stackoverflow https stackoverflow com questions tagged fiware iot br quay badge https img shields io badge quay io fiware 2fiotagent ul grey logo red 20hat labelcolor ee0000 https quay io repository fiware iotagent ul docker badge https img shields io badge docker telefonicaiot 2fiotagent ul blue logo docker https registry hub docker com r telefonicaiot iotagent ul br documentation badge https img shields io readthedocs fiware iotagent ul svg http fiware iotagent ul readthedocs io en latest badge latest ci https github com telefonicaid iotagent ul workflows ci badge svg https github com telefonicaid iotagent ul actions query workflow 3aci coverage status https coveralls io repos github telefonicaid iotagent ul badge svg branch master https coveralls io github telefonicaid iotagent ul branch master status https nexus lab fiware org static badges statuses iot ultralight svg cii best practices https bestpractices coreinfrastructure org projects 4699 badge https bestpractices coreinfrastructure org projects 4699 an internet of things agent for the ultralight 2 0 protocol with amqp https www amqp org http https www w3 org protocols and mqtt https mqtt org transports this iot agent is designed to be a bridge between ultralight and the ngsi https swagger lab fiware org url https raw githubusercontent com fiware specifications master openapi ngsiv2 ngsiv2 openapi json interface of a context broker it is based on the iot agent node js library https github com telefonicaid iotagent node lib further general information about the fiware iot agents framework its architecture and the common interaction model can be found in the library s github repository this project is part of fiware https www fiware org for more information check the fiware catalogue entry for the iot agents https github com fiware catalogue tree master iot agents books documentation https fiware iotagent ul readthedocs io mortar board academy https fiware academy readthedocs io en latest iot agents idas img style height 1em src https quay io static img quay favicon png quay io https quay io repository fiware iotagent ul whale docker hub https hub docker com r telefonicaiot iotagent ul dart roadmap https github com telefonicaid iotagent ul blob master docs roadmap md contents background background install install usage usage api api contributing contributing testing testing license license background this internet of things agent is a bridge that can be used to communicate devices using the ultralight 2 0 protocol and ngsi context brokers like orion https github com telefonicaid fiware orion ultralight 2 0 is a lightweight text based protocol aimed to constrained devices and communications where the bandwidth and device memory may be limited resources this iot agent will provide different transport protocol bindings for the same protocol http mqtt as is the case in any iot agent this one follows the interaction model defined in the node js iot agent library https github com telefonicaid iotagent node lib that is used for the implementation of the apis found on the iot agent s north port information about the architecture of the iot agent can be found on that global repository this documentation will only address those features and characteristics that are particular to the ultralight 2 0 iot agent additional information about operating the component can be found in the operations logs and alarms docs operations md document install information about how to install the iot agent for ultralight can be found at the corresponding section of the installation administration guide docs installationguide md a dockerfile is also available for your use further information can be found here docker readme md usage information about how to use the iot agent can be found in the user programmers manual docs usermanual md the following features are listed as deprecated docs deprecated md api apiary reference for the configuration api can be found here https telefonicaiotiotagents docs apiary io reference configuration api more information about iot agents and their apis can be found in the iot agent library documentation https iotagent node lib readthedocs io the latest iot agent for ultralight documentation is also available on readthedocs https fiware iotagent ul readthedocs io en latest contributing if you d like to contribute start by searching through the issues and pull requests to see whether someone else has raised a similar idea or question before contributing please check out contribution guidelines docs contribution md testing mocha https mochajs org test runner should js https shouldjs github io assertion library the test environment is preconfigured to run bdd testing style module mocking during testing can be done with proxyquire https github com thlorenz proxyquire in order to successfuly run the tests on the local machine three services must be running mosquitto mqtt v5 broker mongo database rabbitmq amqp broker server they can be run using docker shell docker run d p 27017 27017 hostname mongo name mongo mongo 4 4 19 docker run d p 1883 1883 l mosquitto eclipse mosquitto 1 6 15 docker run d p 5672 5672 hostname my rabbit name some rabbit rabbitmq 3 11 13 the required libraries if missing can be installed with npm install to run tests type console npm test license the iot agent for ultralight is licensed under affero general public license gpl version 3 license 2023 telefonica investigaci n y desarrollo s a u details summary strong further information on the use of the agpl open source license strong summary are there any legal issues with agpl 3 0 is it safe for me to use there is absolutely no problem in using a product licensed under agpl 3 0 issues with gpl or agpl licenses are mostly related with the fact that different people assign different interpretations on the meaning of the term derivate work used in these licenses due to this some people believe that there is a risk in just using software under gpl or agpl licenses even without modifying it for the avoidance of doubt the owners of this software licensed under an agpl 3 0 license wish to make a clarifying public statement as follows please note that software derived as a result of modifying the source code of this software in order to fix a bug or incorporate enhancements is considered a derivative work of the product software that merely uses or aggregates i e links to an otherwise unmodified version of existing software is not considered a derivative work and therefore it does not need to be released as under the same license or even released as open source details | fiware iot iot-agent | server |
ShopApp | shopapp a new flutter project getting started this project is a starting point for a flutter application a few resources to get you started if this is your first flutter project lab write your first flutter app https docs flutter dev get started codelab cookbook useful flutter samples https docs flutter dev cookbook for help getting started with flutter development view the online documentation https docs flutter dev which offers tutorials samples guidance on mobile development and a full api reference | server |
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sophum_mini_firmware_rtos | sophum firmware rtos this is the flight control source code of sophum quadcopter and the suffix rtos means real time operating system is used | os |
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rumqtt | note archived no further development under this repo follow progress of a different implementation here https github com tekjar rumq build status https dev azure com kraviteza kraviteza apis build status atherenergy rumqtt branchname master https dev azure com kraviteza kraviteza build latest definitionid 2 branchname master documentation https docs rs rumqtt badge svg https docs rs rumqtt pure rust mqtt client which strives to be simple robust and performant this library takes an opinionated approach of spawning an eventloop thread where all the mqtt related network io happens the eventloop takes care of necessary robustness tasks without user having to rethink of all the necessary stuff to implement client apis will communicate with the eventloop over a channel check the documentation for possible client operations features asynchronous asynchronous new publishs subscriptions doesn t have to wait for the ack of the previous message before sending the next message much faster when compared to synchronous calls backpressure based on inflight queue length slow networks outgoing and incoming streams operating concurrently doesn t mean internal mqtt state buffers grow indefinitely consuming memory when the inflight message limit is hit the eventloop stops processing new user requests until inflight queue limit is back to normal and the backpressure will propagate to client calls the same is true for slow networks the channel buffer will nicely smoothen latency spikes but a prolonged bad network will be detected through backpressure throttling a lot of managed brokers will allow messages only at a certain rate any spikes and the broker might disconnect the client throttling limit will make sure that this doesn t happen this is true even for retransmission of internal unacked messages during reconnections automatic reconnections all the intermittent disconnections are handled with automatic reconnections but the control to do or not do this is with the user miscellaneous on demand disconnection and reconnections inbuilt jwt auth for saas brokers like gcp iotcore tls using rusttls cross compilation and multi platform support is painless automatic resubscription not usually necessary when clean session false but might help when opensource brokers crash before saving the state what s not supported cancelling mqtt will with disconnect packet mqtt http mqtt org | mqtt-client pure-rust iot | server |
cccourse-examples | cccourse examples introduction this project provide a set of sobel edge detection examples for the cloud computing course and the computer graphics course at the school of engineering science ses university of chinese academy of sciences ucas this project demonstrates how to write distributed parallel programs for fast image processing in a cluster environment with many cpu and gpu nodes following main topics have been included and implemented 1 perform cpu parallel acceleration of sobel edge detection algorithm by openmp on a single node of a cluster 2 perform gpu parallel acceleration of sobel edge detection algorithm by opencl and cuda on a single node of a cluster 3 perform distributed parallel acceleration of sobel edge detection algorithm by mpi on a cluster 4 perform mix mode distributed parallel acceleration of sobel edge detection algorithm by mpi openmp and mpi cuda on a cluster dependencies 1 openmp open multi processing an api specification for parallel programming on shared memory platforms https www openmp org https www openmp org it is widely supported by most modern compilers of c c and fortran 2 opencl open computing language an open standard for cross platform parallel programming of diverse accelerators https www khronos org opencl https www khronos org opencl the development files for opencl are probably provided by the hardware vendor in some kind of development kit e g cuda from nvidia 3 cuda toolkit a development environment including framework language supporting math libraries and plenty of debugging tools for creating high performance gpu accelerated applications https developer nvidia com cuda toolkit https developer nvidia com cuda toolkit 4 mpi message passing interface a standardized and portable message passing interface designed to function on distributed parallel computing architectures the implementation of open mpi https www open mpi org is suggested to be used in this project 5 freeimage an open source library for accessing popular image formats like jpeg png bmp tiff etc https freeimage sourceforge io https freeimage sourceforge io instructions for use prepare develop tools 1 install git optional to retrieve the source code from github 2 install appropriate c compiler e g clang on macos gcc on linux and msvc on windows 3 install cmake https cmake org for generating native makefiles and workspaces according to the compiler actually used 4 install development kit for opencl according to the type of gpu you want to try the parallel programs on e g cuda for nvidia gpu 5 install cuda if your experimental environment includes nvidia gpus 6 install appropriate mpi development libraries according to the platforms on which you perform experiments e g open mpi on linux microsoft mpi on windows 7 install or prepare the freeimage development libraries setup local workspace 1 download the source code of this project 2 use cmake to generate appropriate native makefiles and workspaces according to the ide you use 3 build the project and get the executable binaries perform experiments the project contains following different implementations of sobel edge detection algorithm which can be run on single node or multiple nodes with cpu and gpu 1 sobel serial version 2 sobel omp parallel version for cpu implemented by openmp 3 sobel ocl parallel version for gpu implemented by opencl 4 sobel cuda parallel version for gpu implemented by cuda 5 sobel mpi distributed parallel version for running on multi nodes implemented by mpi 6 sobel mpi omp mix mode distributed parallel version for running on multi nodes implemented by mpi and openmp 7 sobel mpi cuda mix mode distributed parallel version for running on multi nodes with cpu and gpu processors implemented by mpi and cuda | cuda mpi opencl openmp | cloud |
voting-blockchain | a simple blockchain based voting system a simple blockchain based voting system application built from scratch by python it s available for running with multipeer materials how to run and how to use in video demo https www youtube com watch v cqnodjuf6ee tutorial part 1 https medium com datadriveninvestor build a blockchain application from scratch in python understanding blockchain 1a6f1592e42a tutorial part 2 not ready now https github com ngocjr7 voting blockchain how it looks alt tag https raw githubusercontent com ngocjr7 voting blockchain master docs sample png how to use note at the first run click update chaincode and mine to init chaincode i wrote a simple chaincode count down opening time to auto close survey after a period of time before using mine mine unconfirmed transaction resync reload front end update chaincode load smart contract from chaincode py in vosy app to blockchain transaction pending transaction list unconfirmed transaction list node list node in the network instructions to run this project can run separately by python https github com ngocjr7 voting blockchain running by python command or use docker compose https github com ngocjr7 voting blockchain running by docker compose running by docker compose note only available for linux user if you have any problem with request ip address try to uncomment network mode host in docker compose yml prerequisites you need to install docker and docker compose before running in first machine follow this command docker compose build docker compose up you can run in background docker compose up d you can stop this application docker compose stop or down delete container docker compose down in second machine you have to provide ip address of machine 1 in env file for example orderer ip 192 168 43 162 ca ip 192 168 43 162 peer ip 192 168 43 162 then run command docker compose f docker compose peer only yml build docker compose f docker compose peer only yml up running by python command prerequisites it needs python pip to run install requirements pip install r requirements txt running in first machine you need to run 4 app orderer py certificate authority py peer py vosy py if you don t need front end in this machine you don t need to run vosy py you can run each app on different machines but need to provide ip address for it python bcb server orderer py certificate authority need to know aleast 1 orderer so if is not default value 0 0 0 0 you need to pass orderer ip address to certificate authority by argument orderer python bcb server certificate authority py peer need to know aleast 1 orderer and 1 certificate authority so you need to pass orderer ip address and ca ip address to peer by argument orderer and ca python bcb server peer py vosy need to know aleast 1 peer so you need to pass peer ip address to vosy app by argument host python vosy app vosy py for example with window users ip address 0 0 0 0 is not available so you need to run in 127 0 0 1 instead so you have to follow this command in 4 cmd python bcb server orderer py python bcb server certificate authority py orderer 127 0 0 1 python bcb server peer py orderer 127 0 0 1 ca 127 0 0 1 python vosy app vosy py host 127 0 0 1 in second machine you just need to run peer py and vosy py but you need to provide lan ip address orderer py and certificate authority py run in machine 1 in my case it is 192 168 43 162 python bcb server peer py orderer 192 168 43 162 ca 192 168 43 162 python vosy app vosy py this vosy will auto connect to local peer in address 0 0 0 0 5000 tutorial you can see video demo https www youtube com watch v cqnodjuf6ee or tutorials part 1 https medium com datadriveninvestor build a blockchain application from scratch in python understanding blockchain 1a6f1592e42a part 2 not ready now it is simple architecture of my network alt tag https raw githubusercontent com ngocjr7 voting blockchain master docs architecture png alt tag https raw githubusercontent com ngocjr7 voting blockchain master docs network sample png certificate authority it can validate connection when a node ask to join to network and set permission for each node and validate transaction orderer it can hold a list of peers and broadcast to all peer when receive a request broadcast new block or new transaction it also have consensus method which can return the longest blockchain in the network peer it hold all data about blockchain it have some method like mine validate transaction return chain open surveys vosy a blockchain based application for voting system | blockchain voting-system python-blockchain tutorial docker chaincode smartcontract voting multipeer | blockchain |
Paddle3D | paddle3d paddle3d 3d 3d div align center p align center img src https user images githubusercontent com 29754889 185546875 b8296cf4 f298 494b 8c15 201a2559d7ea gif align middle width 980 p div div align center p align center img src https user images githubusercontent com 29754889 185551580 828f08d0 d607 4020 9e05 b96110bce7eb gif align middle width 980 p div 3d paddledetection https github com paddlepaddle paddledetection paddleseg https github com paddlepaddle paddleseg 2d api 3d kitti nuscenes waymo 3d tensorrt openvino 5 apollo apollo div align center p align center img src https user images githubusercontent com 33575107 224960808 3bb1a328 cb20 48ce b6b6 9d6ec1cc8222 png align middle width 980 p div ai ai paddlex https www paddlepaddle org cn paddle paddlex 3d https github com paddlepaddle paddle3d paddle3d v1 0 release note https github com paddlepaddle paddle3d releases tag v1 0 develop https github com paddlepaddle paddle3d tree develop https github com paddlepaddle paddle3d tree develop ai paddle3d https www paddlepaddle org cn documentation docs zh dev guides index cn html paddle3d b paddlepaddle https space bilibili com 476867757 paddlepaddle https mp weixin qq com s 6ji89vkqoxdy6ssgkxs8nq div align center img src https user images githubusercontent com 61035602 209660514 4285abea a855 44c4 9533 f2e90b9ca608 jpeg width 150 height 150 caption p paddle3d p div paddle3d v1 0 paddle3d bev 3d apollo https mp weixin qq com s ll0dgkxevsfhpfo6hedq7q div align center img src https user images githubusercontent com 61035602 210311019 bdb15ec8 e8b9 471c aa1d d2f953a6939a png height 250 caption p p div ppt https aistudio baidu com aistudio education group info 26961 div align center img src https user images githubusercontent com 61035602 210315230 83ace5d1 1851 4d9b b305 4290edf9dde8 png height 300 caption p p div paddlex ai paddlex 10 36 paddlex benchmark ai sdk paddlex ai studio windows linux ai paddlex paddlex paddlex https www paddlepaddle org cn paddle paddlex paddlex div align center img src https raw githubusercontent com paddlepaddle paddleocr dygraph doc joinus paddlex jpg width 150 height 150 caption p ai paddlex p div table align center tbody tr align center valign center td b 3d b td td b 3d b td td b 3d b td td b b td tr tr valign top td ul li b b li ul ul li a href docs models caddn caddn a li li a href docs models smoke smoke a li li a href docs models dd3d dd3d a li ul td td ul li b b li ul ul li a href docs models pointpillars pointpillars a li li a href docs models centerpoint centerpoint a li li a href docs models iassd ia ssd a li li a href docs models pv rcnn pv rcnn a li li a href docs models voxel rcnn voxel rcnn a li li a href docs models paconv paconv a li ul ul li b b li ul ul li a href docs models squeezesegv3 squeezesegv3 a li ul td td ul li b bev camera b li ul ul li a href docs models petr petr a li li a href docs models petr petrv2 a li li a href docs models bevformer bevformer a li li a href docs models cape cape a li ul ul li b bev fusion b li ul ul li a href docs models bevfusion bevfusion adlab a li ul td td ul li a href paddle3d models backbones dla a li li a href paddle3d models backbones hrnet a li li a href paddle3d models backbones resnet a li li a href paddle3d models backbones transformer a li ul td tr td tr tbody table docs installation md docs quickstart md docs datasets custom md docs configuration md api docs api md paddle3d apollo https apollo baidu com community apollo homepage document apollo doc cn 8 0 camera https apollo baidu com community apollo homepage document apollo doc cn 8 0 lidar docs faq md docs release note md paddle3d 3d ai studio https ai baidu com ai doc aistudio tk39ty6ho paddle3d apollo 3d https aistudio baidu com aistudio projectdetail 5268894 paddle3d apollo 3d https aistudio baidu com aistudio projectdetail 5269115 apache 2 0 license license | 3d apollo autodrive bev centerpoint hrnet kitti-dataset nuscenes point-cloud pointpillars smoke squeezeseg three-dimension-vision waymo-open-dataset caddn | ai |
Elevating-React-Web-Development-with-Gatsby-4 | elevating react web development with gatsby a href https www packtpub com product elevating react web development with gatsby 4 9781800209091 img src https static packt cdn com products 9781800209091 cover smaller alt creative diy microcontroller projects with c height 256px align right a this is the code repository for elevating react web development with gatsby https www packtpub com product elevating react web development with gatsby 4 9781800209091 published by packt practical guide to building performant accessible and interactive web apps with react and gatsby js 4 what is this book about gatsby is a powerful react static site generator that enables you to create lightning fast web experiences with the latest version of gatsby you can combine your static content with server side rendered and deferred static content to create a fully rounded application elevating react web development with gatsby provides a comprehensive introduction for anyone new to gatsbyjs and will help you get up to speed in no time this book covers the following exciting features understand what gatsbyjs is where it excels and how to use it structure and build a gatsbyjs site with confidence elevate your site with an industry standard approach to styling configure your gatsbyjs projects with search engine optimization to improve their ranking get to grips with advanced gatsbyjs concepts to create powerful and dynamic sites supercharge your site with translations for a global audience discover how to use third party services that provide interactivity to users if you feel this book is for you get your copy https www amazon com elevating react web development gatsby dp 1800209096 today instructions and navigations all of the code is organized into folders for example chapter02 the code will look like the following module exports plugins gatsby plugin sass following is what you need for this book this book is for web developers who want to use gatsbyjs with react to build better static and dynamic client side apps prior experience of working with react basics is necessary knowledge of node js fundamentals will help you to get the most out of this web development book with the following software and hardware list you can run all code files present in the book chapter 1 13 software and hardware list chapter software hardware required os required 1 13 gatsby 4 x windows mac os x and linux 1 13 react 17 x windows mac os x and linux 1 13 node js lts 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 static packt cdn com downloads 9781800209091 colorimages pdf related products full stack react projects packt https www packtpub com product full stack react projects second edition 9781839215414 amazon https www amazon com dp 1839215410 react projects packt https www packtpub com product react projects second edition 9781801070638 amazon https www amazon com react projects cross platform professional developer dp 1801070636 get to know the author samuel larsen disney studied computer science at king s college london he helped design and build american express websites since then he moved to behaviourlab where he led front end development before deciding he wanted to get out of finance he has since become a senior front end engineer at zone he is most at home coding in react javascript graphql gatsby but is always open to learning something new when coding he likes to ensure his code is accessible and performant in the last year sam has contributed 1300 times to open source projects he enjoys teaching the next generation to code through his articles presentations and at hackathons download a free pdf i if you have already purchased a print or kindle version of this book you can get a drm free pdf version at no cost br simply click on the link to claim your free pdf i p align center a href https packt link free ebook 9781800209091 https packt link free ebook 9781800209091 a p | front_end |
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frontend-guideline | juntos somos devs https user images githubusercontent com 3603793 131751022 fda4146c 9ada 4ad0 82fc d8f0a73acd3f png front end guideline a href https juntossomosmais github io frontend guideline target blank guideline webpage a github contributors https img shields io badge ghpages online brightgreen svg https juntossomosmais github io frontend guideline github contributors https img shields io github contributors juntossomosmais frontend guideline svg https github com juntossomosmais frontend guideline graphs contributors every line of code should appear to be written by a single person no matter the number of contributors chinese proverb the following document describes generic rules of writing in development languages that we use on our front end projects that html css javascript react and vue the idea of this repository is not to be a complete guideline the target is just to help developers who participate in our projects to be able to inform the coding standards used as this is a live document some rules may not have been applied in old projects and changes can occur at any time we are hiring if you are looking opportunities as front end developer we are hiring you can check all our job opportunities https www linkedin com company juntos somos mais jobs and apply if you like it this is our front end challenge https github com juntossomosmais frontend challenge summary 1 general code patterns 1 general code patterns 2 architecture 2 architecture 3 git 3 git 4 html 4 html 5 css 5 css 6 javascript 6 javascript 7 react 7 react 8 vue 8 vue 9 storybook 9 storybook 10 testing 10 testing 11 typescript 11 typescript 1 general code patterns 1 0 prettier 10 prettier 1 1 code syntax 11 code syntax 1 2 refactoring 12 refactoring 1 3 imports 13 imports 1 0 prettier we use prettier https prettier io to format our code and we have a shared rule to validade this https github com juntossomosmais time out market tree main packages linters prettier 1 1 code syntax use soft tabs with two spaces you need to configure your editor for this good js const obj prop value prop2 value2 prop3 value3 css foo color red html div p hello world p div bad js const obj prop value prop2 value2 prop3 value3 css foo color red html div p hello world p div 1 2 refactoring refactoring makes part of jsmlover s way of being doing it every day and task by task we have good practices and conditions to do that though js if iswholecodecoveraged return we can only refactor codes that have tests and that tests which means 100 coverage this way we can improve or code safely keep the current tests and make them pass once the current code is tested and can be refactored we must make sure that the new changes will not break the current tests 1 3 imports if the data to be imported belongs to the same module scope use relative path relative path example headerbutton js importing style from header styles css sh src components header components buttons headerbutton js redirectbutton js especificbutton js card modal tests index js styles css index stories mdx index spec js use this js import headerbuttonclass from styles if the data to be imported belongs to another module scope use an absolute path absolute path example headerpopup js importing an enum from src enum errors js sh src components header components card popup headerpopup js redirectpopup js especificpopup js tests index js styles scss index stories mdx index spec js enums errors js pages js routes js environments js index js use this js import uploaderror from enums note is also a good practice to create an index js file for exporting data belonging to the same folder as we can see example above js export from errors export from pages export from routes export from environments 2 architecture the proper architecture for projects and how to create and name files and folders 2 1 file name 21 file name 2 2 folder architecture 22 folder architecture 2 1 file name good userprofile userprofile vue userprofile index js userprofile index ts userprofile styles js userprofile userprofile scss userprofile userprofile stories mdx bad userprofile component vue src userprofile js userprofile component ts userprofile style scss userprofilestyles js userprofile userprofile mdx a name architecture folder a 2 2 folder architecture global components helpers global components should only be components used in more than one place for example sh src components component index js styles js index spec js index stories mdx scoped components we need to add inside pages components for example all components that is need used just a context or scope like a components that be used just a some place or specific page if we need to used the component again in another context or page it need to be moved to src components for example sh pages home home js home style js home spec js components userprofile userprofile style js userprofile spec js userprofile stories mdx scoped files we need to add inside pages utils helpers context hooks etc and use camelcase as naming convention for example sh pages home utils someutils js helpers somehelper js hooks usesomehook js if we need use these files again in another context or page it need to be moved to src utils helpers context hooks sh src utils someutils js helpers somehelper js hooks usesomehook js back to summary summary a name git a 3 git 3 0 commitlint 30 git commitlint 3 1 commit messages 31 commit messages 3 0 git commitlint we use commitlint https commitlint js org to validate our commit messages and we have a shared rule to validade this https github com juntossomosmais time out market tree main packages linters commitlint 3 1 commit messages in order to facilitate the contribution of anyone in a project all commit messages must be in english we also use conventional commit messages https www conventionalcommits org en v1 0 0 that is the commit message must be in the form of a sentence with the first word being an action and the rest of the sentence a describing text we must always commit in lower case we are using a shared rule to validade this https github com juntossomosmais time out market blob main packages linters src commitlint config js good powershell git commit m feat allow provided config object to extend configs git commit m docs correct spelling of changelog git commit m feat lang add the portuguese language bad powershell git commit m add placeholder on input back to summary summary 4 html we main reference for html good patterns is w3c https www w3 org tr html and mdn https developer mozilla org en us docs web html element behind these docs we could learn a lot with semantic and another good practices 4 1 html component scope 41 html component scope 4 1 html component scope we don t guest the scope of html components inside page so when we start a new component we should use a semantic tag like section or article for example to be able to starting to use the heading tags by context good html section class component h1 class title title h1 p paragraph p section bad html div class component h4 class title title h4 p paragraph p div 5 css the tips above could be used in any css framework or preprocessor like scss styled components and etc 5 0 css stylelint 50 css stylelint 5 1 css code syntax 51 css syntax 5 2 css declaration order 52 css declaration order 5 3 css class names 53 css class names 5 4 css good practices 54 css good practices 5 5 css media queries 55 css media queries 5 0 css stylelint we use stylelint https stylelint io to validate our code and we have a shared rule to validade this https github com juntossomosmais time out market tree main packages linters stylelint 5 1 css syntax keep one declaration per line good scss selector 1 selector 2 selector 3 bad scss selector 1 selector 2 selector 3 separate each ruleset by a blank line good scss selector 1 selector 2 bad scss selector 1 selector 2 use lowercase and avoid specifying units is zero values good scss selector 1 color aaa margin 0 bad scss selector 1 color aaaaaa margin 0px 5 2 css declaration order the declarations should be added in alphabetical order good scss selector background fff border 333 solid 1px color 333 display flex height 200px margin 5px padding 5px width 200px bad scss selector padding 5px height 200px background fff margin 5px width 200px color 333 border 333 solid 1px display flex 5 3 css class names keep class lowercase and use dashes to separate the classname good scss page header bad scss pageheader page header is a good idea follows a bem naming convention http getbem com introduction to avoid conflicts with other components if you are using css in js like a styled component you can use bem if you need to nesting elements inside parent the main pattern is use single dash to element name double underline to element block and double dash to style modification good scss good page header title page header active button active bad scss page header title page header active active primary dashes and underline serve as natural breaks in related class prefix class based on the closest parent or base class good scss nav nav item nav link bad scss item nav link nav avoid giving too short names for class and always choose meaningful names that provide the class function good scss good button page header progress bar bad scss s btn ph block 5 4 css good practices avoid use values like colors spacing and etc directly in the elements use variables instead and it can be css variables or some preprocessor variables always check the context good scss button color var color primary padding var space sm bad scss button color 333 padding 16px never use ids to style elements always use classes instead good scss header section bad scss header section do not style directly the elements it will create a lot of conflicts always use classes instead good scss form control header section bad scss input type text header section avoid nesting elements because it decrease performance and increase the specificity of the css always use classes instead good scss navbar nav nav item nav link bad scss navbar ul navbar ul li navbar ul li a 5 5 css media queries start the development with generic rules and add media queries inside scope using mobile first also is important keep the media queries as close to their relevant rule sets whenever possible good scss navbar margin bottom var space media min width 480px padding 10px media min width 768px position absolute top 0 left 0 media min width 992px position fixed bad scss navbar position fixed top 0 left 0 media max width 767px position static padding var space sm 5 6 spacing and size of image and components is a commom problem to use width and height or all dynamic or all hardcoded but each one has it own purpose we should avoid using magic numbers at all times magic numbers are those numbers that appear in code without explanation but that magically make things work are numbers that dont have a why but works 5 6 1 dynamic values if you are using padding margin gap should use our atomium tokens https juntossomosmais github io atomium path docs getting started tokens docs any space that override it values must be validated once our design system is well defined around these values and our ux teams guide must follow it icons width and height that are relative to our design system or that have sizes based on calc upon our spacing variable must also use atomium tokens https juntossomosmais github io atomium path docs getting started tokens docs instead of magic numbers good scss logout icon height var spacing xxlarge width var spacing xxlarge icon button min width var spacing giant bad scss logout icon height 25px width 25px icon button min width 34px 5 6 2 images and well defined components if you are using a image or a component that has a design size and it sizes at maximum vary from desktop mobile use the value of it good scss shopfrom banner height 900px width 480px media min width 991px height 740px width 240px bad scss shopfrom banner height calc 4 var spaceing xxxlarge width calc 2 var spacing giant shopfrom banner height 480px width 170px media max width 746px height 740px width 240px media max width 991px height 900px width 320px media max width 1024px height 980px width 300px back to summary summary 6 javascript 6 0 javascript eslint 60 javascript eslint 6 1 javascript code syntax 61 javascript code syntax 6 2 variables 62 variables 6 3 descriptive validations if 63 descriptive validations if 6 4 avoid multiple if s 64 avoid multiple ifs 6 5 code comments 65 code comments 6 6 avoid errors while destructuring 66 avoid errors while destructuring 6 7 prefer early return 67 prefer early return 6 0 javascript eslint we use eslint https eslint org to validate our code and we have a shared rule to validade this https github com juntossomosmais time out market tree main packages linters eslint 6 1 javascript code syntax never use semicolons good js const foo bar const baz qux const func bad js const foo bar const baz qux const func always use single quotes or template literals good js const string foo const template foo bad js const string foo const template foo a name variables a for strict equality checks should be used in favor of good js if foo foo statement bad js if foo foo statement add empty lines between blocks of code good js const foo do something const bar do something add empty lines between blocks of if statements good js if foo do something if bar do something bad js if foo do something if bar do something add empty lines between before return statements good js const foo const bar bar return bar bad js const foo const bar bar return bar bad js const foo do something const bar do something remove empty lines between groups of const let and var declarations but use empty lines between the groups good js const foo foo const bar bar let qux qux let quux quux bad js const foo foo const bar bar let qux qux let quux quux 6 2 variables use meaningful pronounceable and in english variable names good js const currentdate new date tolocaledatestring pt br bad js const xpto new date tolocaledatestring pt br a name descriptive validations a 6 3 descriptive validations if creating const to describe validations good js const hasfullusername user firstname user lastname if hasfullusername do awesome something bad js if user firstname user lastname do something a name avoid multiple ifs a 6 4 avoid multiple if s use an execution map instead a multiple if validations good js const messagingchannels whatsapp message send message to whatsapp email message send message to email const sendmessage message channel const send messagingchannels channel return send send message bad js const sendwhatsapp message send message to whatsapp const sendemail message send message to email const sendmessage message channel if channel whatsapp sendwhatsapp message else if channel email sendemail message 6 5 code comments avoid writing comments to explain the code use comments to answer why instead how some cases you could write a code comment warnings complex expressions or unusual decision clarification good js const time in seconds 60 40 40 minutes xxxx xxxx xxx const regex a z0 9 a z0 9 a z a z i const calculateproductsprice do something bad js this coolfunction calculates the prices of the products const coolfunction do something a name errors destructuring a 6 6 avoid errors while destructuring its a common mistake destructuring while the object is null or undefined the destructuring will throw an error good js const age null undefined const age null undefined other values won t throw an error const emptystring const nan nan const emptyobject function foo bar const age bar foo undefined bad js const age null will throw an typeerror const age undefined will throw an typeerror a name early return a 6 7 prefer early return prefer early return over conditional wrapping to enhance code readability and reduce nesting good js function foo if somevalidation return or throw error do something here if anothervalidation return return bar bad js function foo if somevalidation do something here if anothervalidation return bar back to summary summary 7 react 7 1 keys in lists 71 keys in lists 7 2 usestate functional updates 72 usestate functional updates 7 3 useeffect dependencies array 73 useeffect dependencies array 7 4 readable components 74 readable components 7 5 styled component naming convention 75 styled component naming convention 7 6 using styled component in react components 76 using styled component in react components 7 7 enums 77 avoid compare directly strings 7 8 using spread operator 78 using spread operator 7 9 conditional rendering 79 conditional rendering 7 9 1 using short circuit 791 using short circuit 7 9 2 using ternary operator 792 using ternary operator 7 1 keys in lists the best way to pick a key is to use a string that uniquely identifies a list item among its siblings it is not recommended to use indexes for keys if the order of items can change this can negatively affect performance and can cause problems with the component s state good js array map item index component key item id item bad js array map item index component key index item 7 2 usestate functional updates if the new state is calculated using the previous state you can pass a function to setstate thus avoiding competition between states and preventing possible bugs good js const number setnumber usestate 1 return div h1 number h1 button onclick setnumber prevnumber prevnumber 1 increase button button onclick setnumber prevnumber prevnumber 1 decrease button div bad js const number setnumber usestate 1 return div h1 number h1 button onclick setnumber number 1 increase button button onclick setnumber number 1 decrease button div 7 3 useeffect dependencies array use the useeffect dependency array to trigger side effects and make your code cleaner good js const page setpage usestate 1 useeffect requestlistuser calls useeffect when page state changes page return div button onclick setpage prevstate prevstate 1 next page button div bad js const page setpage usestate 1 useeffect requestlistuser const requestlistuser setpage prevstate prevstate 1 any code to return user list return div button onclick requestlistuser next page button div 7 4 readable components avoid creating very large components if possible divided into sub components improving the understanding and reading of the code good js const screen container header title button background black filter button header main list data map item card key item id name item name list main container bad js const screen box padding 1 box alignitems center text titulo text button background black filter button box box margintop 5 box data map item box key item id text color red item name text box box box box 7 5 styled component naming convention use pascalcase as a convention in styled components good js export const customtext styled p color red bad js export const customtext styled p color red 7 6 using styled component in react components import styled component as s good tsx import as s from styles const mycomponent s customtext text example s customtext bad tsx import as style from styles const mycomponent style customtext text example style customtext import customtext from styles const mycomponent customtext text example customtext 7 7 avoid compare directly strings when know all possible values we can use enum to achieve better readability and control good tsx const feedback correct correct incorrect incorrect const mycomponent type const text type feedback correct return emoji text emoji bad tsx const mycomponent type const text type correct return emoji text emoji 7 8 using spread operator when creating a component wrapper we can spread the types from our original component that way the wrapper extends all the props from the original component automatically this is useful to avoid creating a custom interface for our wrapper with missing props from the original component good tsx import menuitem textfield from mui material import textfieldprops from mui material export type selectoption value string label string id string export type selectprops textfieldprops options selectoption const select options props selectprops return textfield props options map option menuitem key option id value option value option label menuitem textfield bad tsx import menuitem textfield from mui material export type selectoption value string label string id string export type selectprops options selectoption disabled boolean onchange void value string onblur void const select options disabled onchange value onblur selectprops return textfield disabled disabled onchange handleonchange value value onblur handleonblur options map option menuitem key option id value option value option label menuitem textfield 7 9 conditional rendering 7 9 1 using short circuit when we only need to validate a logical case and return a component we can directly use the short circuit good tsx import usestate from react import welcome from components welcome const homepage const showwelcome setshowwelcome usestate true return showwelcome welcome bad tsx import usestate from react import welcome from components welcome const homepage const showwelcome setshowwelcome usestate true return showwelcome welcome 7 9 2 using ternary operator when we need to validate two logical cases and return a component in both cases we can use the ternary instead of the if else good tsx import usestate from react import welcome from components welcome import dashboard from components dashboard const homepage const showwelcome setshowwelcome usestate false return showwelcome welcome dashboard bad tsx import usestate from react import welcome from components welcome import dashboard from components dashboard const homepage const showwelcome setshowwelcome usestate false if showwelcome return dashboard return welcome back to summary summary 8 vue 8 1 keys in lists 81 keys in lists 8 2 use computed for real time updates 82 use computed for real time updates 8 3 multi word component names 83 multi word component names 8 4 prop definitions 84 prop definitions 8 5 vue property decorator 85 vue property decorator 8 1 keys in lists the best way to pick a key is to use a string that uniquely identifies a list item among its siblings it is not recommended to use indexes for keys if the order of items can change this can negatively affect performance and can cause problems with the component s state good html template v for item in items component key item id v bind item template bad html template v for item index in items component key index v bind item template 8 2 use computed for real time updates if you need listen changes at data use computeds instead of methods good js computed fullname return this name this lastname bad js methods fullname this fullname this name this lastname 8 3 multi word component names component names should always be multi word except for root app components and built in components provided by vue this prevents conflicts with existing and future html elements since all html elements are a single word good js export default name todoitem bad js export default name todo 8 4 prop definitions in committed code prop definitions should always be as detailed as possible specifying at least type s good js export default status type string required true bad js export default props status 8 5 vue property decorator vue prop decorator should not be used use vue extend instead good js script lang ts import vue from vue export default vue extend name mycomponent script bad js script lang ts import component vue from vue property decorator component export default class mycomponent extends vue name mycomponent script back to summary summary 9 storybook 9 1 story file 91 story file 9 1 story file create a file with the same name of your component or index and with the suffix stories mdx good button stories mdx dialog index stories mdx bad input mdx dialog index mdx back to summary summary 10 testing 10 1 write tests with it 101 write tests with it 10 2 using test id 102 using test id 10 3 selecing component 103 selecting component 10 1 write tests with it write tests with the alias it instead test method good js describe yourmodule it should do this thing bad js describe yourmodule test if it does this thing 10 2 using test id to get components during tests we use test id custom html attributes with unique id and our own convention deeply inpired by the css s bem to define the test id to a component use the follow structure page name component name element type type good forgot password input email header select cnpjlist login button forgot password bad forgot email input header cnpjlist button forgot password 10 3 selecting component to select a component in order to test a behavior of to trigger any event we must use ou test id attribute to select it good js describe yourmodule it should do trigger click event const button wrapper find data testid login button forgot password bad js describe yourmodule it should do trigger click event const button wrapper find button btn primary back to summary summary 11 typescript 11 1 do not use any type 111 do not use any type 11 2 naming convention 112 naming convention 11 3 exporting types 113 exporting types 11 4 types within a file 114 types within a file 11 5 increase legible 115 increase legible 11 6 type or interface 116 type or interface 11 1 do not use any type avoid using any type it s best to use the type that is more specific whenever possible prefer to use unknown when necessary good ts function foo x unknown function foo unknown bad ts function foo x any function foo any 11 2 naming convention for convention use pascalcase for type names good ts type mybeautifultype name string age number bad ts type mybeautifultype name string age number the same to enum keys good ts enum userresponse notsuccess 0 success 1 bad ts enum userresponse not success 0 success 1 11 3 exporting types do not export types functions unless you need to use it across multiple components 11 4 types within a file within a file type definitions should come first good ts imports type mybeautifultype name string age number rest of the file bad ts imports part of the file type mybeautifultype name string age number rest of the file 11 5 increase legible create a type for increase legible good ts type persontype name string age number birthdate string const person name age birthdate persontype bad ts const person name age birthdate name string age number birthdate string 11 6 type or interface we use type when its usage is inside the same file and interface when it is exported good ts type producttype name string code number value string export interface orderlist ordernumber number seller string products producttype bad ts interface producttype name string code number value string export type orderlist ordernumber number seller string products producttype we follow the principle the official typescript doc https www typescriptlang org play example types vs interfaces for publicly exposed types it s a better call to make them an interface | frontend-guidelines frontend-guide coding-style code-style frontend css html javascript react vue good-practices patterns patterns-design hacktoberfest typescript | front_end |
showroom | showroom app client assets showroom bg png showroom universal development and automated test environment for web components build status https semaphoreci com api v1 eavichay showroom branches master badge svg https semaphoreci com eavichay showroom installation npm install g showroom create showroom folder in your project add descriptor files see example https github com eavichay showroom tree master example showroom for your web components run showroom and see the magic see live demo here https showroomjs com supports any stack polymer litelement slim js vanilla skate supports customized built in elements i e extends htmlinputelement supports innerhtml and wrapping html supports global local scripting and styling supports ci cd queries for shadow roots smooth pupeteer integration configuration the server following options port int the port on which the server listens default is 3000 path string the path relative to the process cwd used to search for project files default is silent boolean if true completely disables logging default is false verbose boolean if true verbose messages will be logged otherwise only errors and warnings will be logged default it false build development git clone git github com eavichay showroom git npm install npm run dev online documentation wiki here https github com eavichay showroom wiki | tdd javascript web-components bdd automation client-side server-side testing testing-tools test-tools | front_end |
GPT4RoI | gpt4roi instruction tuning large language model on region of interest fire demo http 139 196 83 164 7000 fire div id wrapper align center figure img src figs demo1 gif width 45 emsp img src figs demo2 gif width 45 br p style font size 1 2vw left single region understanding right single region understanding p figure div p align center img src figs demo1 gif width 80 br p align center style font size 1 2vw single region understanding p p p align center img src figs demo2 gif width 80 br p align center style font size 1 2vw multiple region understanding p p introduction p align center img src figs framework png width 70 br p gpt4roi instruction tuning large language model on region of interest https arxiv org abs 2307 03601 shilong zhang https jshilong github io peize sun https peizesun github io shoufa chen https www shoufachen com min xiao wenqi shao wenwei zhang kai chen ping luo br equal contribution demo http 139 196 83 164 7000 paper https arxiv org abs 2307 03601 https zhuanlan zhihu com p 640283103 grin grin grin xxx 40 cheems 41 updates july 25 gpt4roi 7b delta v0 https huggingface co shilongz gpt4roi 7b delta v0 has release fire fire fire you need to combine our delta with the original llama weights follow the gpt4roi weights https github com jshilong gpt4roi tree main weights section july 7 all training and inference code has been released you can try demo here http 139 196 83 164 7000 fire fire fire contents install install data data gpt4roi weights weights training training gradio gradio acknowledge acknowledge install 1 clone the gpt4roi python git clone https github com jshilong gpt4roi git cd gpt4roi 2 create the env shell conda create n gpt4roi python 3 10 y conda activate gpt4roi pip install upgrade pip enable pep 660 support pip install setuptools scm pip install no cache dir e please use conda re install the torch pip may loss some runtime lib conda install pytorch torchvision torchaudio pytorch cuda 11 7 c pytorch c nvidia 3 install the flash attn package pip install ninja pip install flash attn no build isolation 4 install the mmcv 1 4 7 package make sure that your nvcc v is consistent with cudatookit version of python c import torch print torch version cuda shell cd mmcv 1 4 7 mmcv with ops 1 pip install e data preparation data file name size original from single region caption json https huggingface co datasets liuhaotian llava instruct 150k raw main llava instruct 150k json 229 mb vc refcocog multi region caption json https huggingface co datasets liuhaotian llava instruct 150k raw main llava instruct 80k json 229 mb flicker30k spation instruction21k json https huggingface co datasets liuhaotian llava instruct 150k raw main conversation 58k json 126 mb vcr we also use langauge image multimodal instruction folllowing dataset llava instruct 150k https huggingface co datasets liuhaotian llava instruct 150k with we detect objects with eva lvis model you should download the eva lvis coco pkl when you use this dataset data our dataset includes refcoco refcoco refcocog visual genome flickr30k entities and the vcr dataset we are sincerely grateful to the creators of these datasets especially for the vcr dataset for their forward thinking in creating these dataset the dataset section of this repository may appear somewhat messy especially the vcr part still finishing which may cause gpt4roi not be very user friendly we are currently working on formulating the datasets into a unified format and will be accompanying them with stronger models please stay tuned for updates you can download the corresponding dataset from the official website and organize it as follows afterwards you can modify the gpt4roi configs dataset config json file to select the specific dataset you want to use text gpt4roi data coco det annotations instances train2017 json train2017 mdetr annotations finetune refcoco train json finetune refcoco train json finetune refcocog train json final flickr mergedgt train json coco imgs flickr30k images visual genome train json vg all llava llava instruct 150k json llava 150k bbox pred results pkl vcr train jsonl vcr1images note 1 coco imgs should contains all coco image you can soft link them to this directory 2 we use visual genome dataset v1 2 available for download from opendatalab https opendatalab com ensure to download the train json https datarelease blob core windows net grit vg preprocessed annotations train json you should create a soft link for all vg images to the directory vg all 3 llava 150k bbox pred results pkl https huggingface co shilongz temp tree main contains the detection predicted results with eva 02 det we appreciate their work weights due to the licensing restrictions of llama the delta weights gpt4roi 7b is produced from llama 7b to acquire the gpt4roi weights you need to combine our delta with the original llama weights step1 download the original llama 7b weights the original llama weights are available for download use the following commands shell git lfs install git clone https huggingface co decapoda research llama 7b hf llama 7b alternatively access the webpage https huggingface co decapoda research llama 7b hf tree main to download the file step2 download the delta weights of gpt4roi 7b the delta weights for gpt4roi 7b can be downloaded using the following commands shell git lfs install git clone https huggingface co shilongz gpt4roi 7b delta v0 gpt4roi 7b delta you can also directly download the file from this webpage https huggingface co shilongz gpt4roi 7b delta v0 tree main step3 apply the delta weights to the original llama 7b weights apply the delta weights to the original llama 7b weights note that this conversion command requires approximately 30 gb of cpu ram bash export pythonpath pwd pythonpath python3 m scripts apply delta py base llama 7b target gpt4roi 7b delta gpt4roi 7b delta training gpt4roi is trained on 8 a100 with the following code stage 1 vicuna v0 an instruction tuned chatbot is the base model for this setup in order to prepare it first download the delta weights available here https huggingface co lmsys vicuna 7b delta v0 to obtain the original weights follow the instructions provided here https github com lm sys fastchat blob main docs vicuna weights version md how to apply delta weights for weights v11 and v0 to integrate these delta weights into llama 7b ensure to download the following projector weight file llava 7b pretrain projector v0 cc3m 595k original caption bin https huggingface co liuhaotian llava pretrained projectors resolve main llava 7b pretrain projector v0 cc3m 595k original caption bin additionally you have the flexibility to choose from different versions of vicuna such as the 13b version or llama v2 chatbot and the corresponding projector weights from llava https github com haotian liu llava to meet your specific requirements effectively exp stage1 is the work directory shell bash train stage1 sh exp stage1 resume training in stage1 bash train stage1 sh exp stage1 stage 2 exp stage2 is the work directory and you should give the work directory of stage1 so we can load the corresponding weight as pretrain model shell at the beginning of stage2 bash train stage2 sh exp stage2 exp stage1 resume training in stage2 bash train stage2 sh exp stage2 gradio please install gradio box https github com shoufachen gradio dev first python python gpt4roi app py notes 1 prompt format in gpt4roi you should always use region1 region2 to refer the new bounding box in the image when you first draw them then you can use normal region 1 in the conversation to refer the instance 2 you should always click the clear all buttul and waiting the clear process finished before you start a new conversation p align center img src figs fig1 png width 100 br p align center style font size 1 2vw multiple rounds of dialogue p p acknowledge llava https github com haotian liu llava the codebase we built upon vicuna https github com lm sys fastchat the llm we used vcr https visualcommonsense com we get strong region reasoning ability from this forward thinking dataset if you find gpt4roi useful for your your research and applications please cite using this bibtex bibtex misc zhang2023gpt4roi title gpt4roi instruction tuning large language model on region of interest author shilong zhang and peize sun and shoufa chen and min xiao and wenqi shao and wenwei zhang and kai chen and ping luo year 2023 eprint 2307 03601 archiveprefix arxiv primaryclass cs cv | gpt llm multimodality roi computer-vision | ai |
Hospital-Management-System-Java | hospital management system this management system was a part of our engineering subject requirements which included database and web development the application is written in java swing database connectivity using mysql server home hosted it can keep track of the patients perform basic crud operations in database also billing hospital management desktop application docx is a full fledge report including code and screenshots | server |
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CM-Webinar | h1 align center a href https material io img src docs logo svg alt logo width 125 height 125 a h1 div align center h1 webinar material design 2021 h1 h4 universidade de coimbra fctuc departamento de engenharia inform tica h4 br h5 autores h5 a href https github com raquel f raquel ferreira a nbsp nbsp a href https github com rfigas ricardo figueiredo a div br br br details open open summary table of contents summary portugu s pt pr requisitos pr requisitos configura o configura o vers es vers es reconhecimentos reconhecimentos informa o autores autores 1 english en prerequisites prerequisites setup setup versions versions acknowledgements acknowledgements author information authors details pt pr requisitos table tr td para a realiza o da parte pr tica deste webinar certifica te que tens os seguintes componentes instalados e dispon veis java android studio emulador de smartphone no android studio template do projeto este reposit rio motiva o para aprender td tr table configura o br h4 template do projeto h4 em primeiro lugar precisas de ter a template do projeto na tua m quina local para tal podes fazer clone do reposit rio sh git clone https github com raquel f cm webinar git se n o tiveres git na tua m quina n o te preocupes podes sempre fazer o download do projeto em formato zip br h4 android studio h4 depois de teres o projeto na tua m quina abre o android studio e clica em open para abrir o projeto a href https github com dec0dos amazing github template img src docs android studio open png alt android studio width 1200 height 125 a br br h4 est s pront h4 durante o webinar vamos guiar te sobre a estrutura do projeto e o que fazer para transformares esta template feia com material design vers es para evitar que tenhas problemas durante o webinar deixamos te aqui as vers es que estamos a utilizar nome vers o download java 1 8 java https www java com download ie manual jsp android studio arctic fox 2020 3 1 patch 3 android studio https developer android com studio android gradle plugin 7 0 3 inclu do no android studio gradle 7 0 2 inclu do no android studio reconhecimentos agradecemos bastante aos docentes da cadeira prof tiago cruz e prof jo o fernandes pela sua grande disponibilidade em nos ajudar com qualquer d vida que surgiu durante o desenvolvimento deste webinar br br obrigada a todos os participantes do webinar autores table th raquel ferreira th tr td estudante de mestrado em engenharia inform tica com especializa o em engenharia de software br respons vel por cria o da template de projeto gest o do reposit rio implementa o de material design segunda parte pr tica do webinar publicidade do evento td tr table table th ricardo figueiredo th tr td estudante de mestrado em engenharia inform tica com especializa o em engenharia de software br respons vel por cria o da template de projeto implementa o de material design primeira parte pr tica do webinar td tr table en prerequisites table tr td to follow along the practical part of the webinar make sure you have the following components installed and readily available java android studio smartphone emulator in android studio project template this repository motivation to learn td tr table setup br h4 project template h4 first you need to have the project template in your local machine to do so you can clone this repository sh git clone https github com raquel f cm webinar git if you don t have git in your local machine don t worry you can always download the project as a zip file br h4 android studio h4 after downloading the project open android studio and open the project a href https github com dec0dos amazing github template img src docs android studio open png alt android studio width 1200 height 125 a br br h4 that s it h4 during the webinar we ll explain all about the project structure and how you can transform this ugly template with material design versions to avoid having problems during the webinar we ll leave you the versions of the software we used during its creation name version download java 1 8 java https www java com download ie manual jsp android studio arctic fox 2020 3 1 patch 3 android studio https developer android com studio android gradle plugin 7 0 3 included in android studio gradle 7 0 2 included in android studio acknowledgements we would like to show our appreciation to the professors of this class prof tiago cruz and prof jo o fernandes for their great availability to help us with any questions that arose during the development of this webinar br br thanks to all who participated in our webinar authors table th raquel ferreira th tr td master s of informatics engineering with a specialization in software engineering br responsible for template creation repository management material design implementation second practical part of the webinar event advertising td tr table table th ricardo figueiredo th tr td master s of informatics engineering with a specialization in software engineering br responsible for template creation material design implementation first practical part of the webinar td tr table | android material-design android-studio java android-app | os |
ISE-teaching | ise lecture sose2021 in this lecture the students will learn the fundamentals of natural language processing knowledge mining linked data engineering as well as information retrieval required for the development of information services references d jurafsky j h martin speech and language processing 2nd ed pearson int 2009 s hitzler s rudolph foundations of semantic web technologies chapman hall 2009 r baeza yates b ribeiro neto modern information retrieval 2nd ed addison wesley 2010 important dates lab session mondays 16 00 17 30 q a wednesdays 08 00 09 00 end of semester july 23 2021 topic lecture lab q a materials 1 information natural language and the web lecture1 14 apr 19 apr 14 apr img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 01 ise2021 information pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzufxymv5yhnslvlhvi1lyru 2 natural language processing 1 lecture2 21 apr 3 may 12 may img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 02 ise2021 nlp1 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https youtube com playlist list plnxdql4kbgzvnjbbhc ucujixcue8qx0f 3 natural language processing 2 lecture3 28 apr 3 may 12 may img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 03 ise2021 nlp2 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https youtube com playlist list plnxdql4kbgzt6dneoox3rrz36kyhujcpe 4 natural language processing 3 lecture4 5 may 17 may 12 may img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 04 ise2021 nlp3 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgztkdtfpd7jixba 14w ahgz 5 natural language processing 4 lecture5 12 may 17 may 12 may img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 05 ise2021 nlp4 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgztwkrkv69lpaqqx1vghensi 6 knowledge graphs 1 lecture6 21 may 31 may 16 may img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 06 ise2021 kg1 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzut1gutt 5enfc1ogsxnjcc 7 knowledge graphs 2 lecture7 26 may 7 jun 23 jun img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 07 ise2021 kg2 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzuuzzkiten5vivsirfuexv1 8 knowledge graphs 3 lecture8 2 jun 21 jun 23 jun img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 08 ise2021 kg3 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzsxetqvjula nzheeg4onsr 9 knowledge graphs 4 lecture9 9 jun 21 jun 16 may img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 09 ise2021 kg4 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgztozmxxrdvysw tuebyxr2p 10 machine learning 1 lecture10 16 jun 28 jun 14 jul img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 10 ise2021 ml1 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzvyxmbmurbrnp67cj1zpwsz 11 machine learning 2 lecture11 23 jun 28 jun 14 jul img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 11 ise2021 ml2 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgztv6tmcv9gwf96cwbiypymr a href materials dataset berlin temp csv img alt download csv src https ise fizkarlsruhe github io ise teaching assets media export csv png width 20px download download target blank 12 machine learning 3 lecture12 30 jun 12 jul 14 jul img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 12 ise2021 ml3 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzsi4wsceckogsqdh gwgt7r a href materials dataset womensoccerdata wikidata 2021 csv img alt download wikipedia women s soccer data src https ise fizkarlsruhe github io ise teaching assets media export csv png width 20px download download target blank a href materials dataset cleanedup womensoccerdata wikidata 2021 csv img alt downloand wikipedia women s soccer data cleanedup src https ise fizkarlsruhe github io ise teaching assets media export csv png width 20px download download target blank 13 ise applications 1 lecture13 7 jul 12 jul 21 jul img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 13 ise2021 iseapps1 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzsklpbqkiuqiqvjdknrk2bn 14 ise applications 2 14 jul 12 jul 21 jul img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 14 ise2021 iseapps2 pdf img src https ise fizkarlsruhe github io ise teaching assets media video png width 20px alt view lecture https www youtube com playlist list plnxdql4kbgzsjyjhzrpofdtz6yvrgbe9a summary and q a 21 jul course details all slides https github com ise fizkarlsruhe ise teaching tree main materials lecture a name lecture1 a 1 information natural language and the web img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 01 ise2021 information pdf 1 1 how to get information from the web 1 2 communication language and understanding 1 3 how to measure information 1 4 the ever growing web of information 1 5 search engines on the web 1 6 the meaning of information a name lecture2 a 2 natural language processing 1 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 02 ise2021 nlp1 pdf 2 0 what is natural language processing 2 1 basic linguistics 2 2 morphology 2 3 nlp applications a name lecture3 a 3 natural language processing 2 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 03 ise2021 nlp2 pdf 2 4 nlp techniques 2 5 nlp challenges 2 6 evaluation precision and recall 2 7 regular expressions a name lecture4 a 4 natural language processing 3 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 04 ise2021 nlp3 pdf 2 8 finite state automata 2 9 tokenization a name lecture5 a 5 natural language processing 4 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 05 ise2021 nlp4 pdf 2 10 language model and n grams 2 11 part of speech tagging 2 12 word embeddings a name lecture6 a 6 knowledge graphs 1 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 06 ise2021 kg1 pdf 3 1 knowledge representation and ontologies 3 2 semantic web and the web of data 3 3 linked data principles 3 4 how to identify and access things uris a name lecture7 a 7 knowledge graphs 2 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 07 ise2021 kg2 pdf 3 5 resource description framework rdf as simple data model 3 6 creating new models with rdfs 3 7 knowledge graphs a name lecture8 a 8 knowledge graphs 3 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 08 ise2021 kg3 pdf 3 8 querying knowledge graphs with sparql a name lecture9 a 9 knowledge graphs 4 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 09 ise2021 kg4 pdf 3 9 more expressivity with web ontology language owl 3 10 knowledge graph programming a name lecture10 a 10 machine learning 1 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 10 ise2021 ml1 pdf 4 1 a brief history of ai 4 2 introduction to machine learning 4 3 main challenges of machine learning a name lecture11 a 11 machine learning 2 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 11 ise2021 ml2 pdf 4 4 machine learning workflow 4 5 basic ml algorithms 1 k means clustering 4 6 basic ml algorithms 2 linear regression 4 7 basic ml algorithms 3 decision trees a name lecture12 a 12 machine learning 3 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 12 ise2021 ml3 pdf 4 8 neural networks and deep learning 4 9 knowledge graph embeddings 4 10 knowledge graph completion a name lecture13 a 13 ise applications 1 img src https ise fizkarlsruhe github io ise teaching assets media slides png width 20px alt download slides https ise fizkarlsruhe github io ise teaching materials lecture 13 ise2021 iseapps1 pdf 5 1 what is information service engineering 5 2 knowledge mining and information extraction i 5 3 knowledge mining and information extraction ii 5 4 hands on data analytics example past courses knowledge graphs 2020 https open hpi de courses knowledgegraphs2020 mooc course knowledge graphs at openhpi wise20 21 information service engineering project course http www aifb kit edu web lehre praktikum projektpraktikum information service engineering en at kit aifb representation learning for knowledge graphs https www aifb kit edu web lehre seminar seminar representation learning for knowledge graphs en at kit aifb sose2020 ise lecture http www aifb kit edu web lehre vorlesung information service engineering en summer semester 2020 information service engineering lecture wise19 20 ise project course https www aifb kit edu web lehre seminar seminar representation learning for knowledge graphs en winter semester 2019 20 information service engineering project course at kit aifb sose2019 ise lecture https campus studium kit edu ev qyfgnlfzstmjzcoen5tfnq en summer semester 2019 information service engineering lecture at kit aifb wise18 19 ise project course http www aifb kit edu web lehre praktikum projektpraktikum information service engineering en winter semester 2018 19 information service engineering project course at kit aifb sose2018 ise lecture http www aifb kit edu web lehre vorlesung information service engineering en summer semester 2018 information service engineering lecture at kit aifb semantic web 2017 https open hpi de courses semanticweb2017 mooc course semantic web at openhpi ise team prof dr harald sack https www fiz karlsruhe de en forschung lebenslauf prof dr harald sack dr mehwish alam https www fiz karlsruhe de en forschung lebenslauf und publikationen dr mehwish alam post doc j rg waitelonis post doc dr danilo dessi https www fiz karlsruhe de en forschung lebenslauf und publikationen dr danilo dessi post doc russa biswas https www fiz karlsruhe de index php en forschung lebenslauf und publikationen russa biswas junior researcher phd candidate oleksandra bruns https www fiz karlsruhe de en forschung lebenslauf und publikationen oleksandra bruns junior researcher phd candidate yiyi chen https www fiz karlsruhe de en forschung lebenslauf und publikationen yiyi chen junior researcher phd candidate genet asefa gesese https www fiz karlsruhe de en forschung lebenslauf und publikationen genet asefa gesese junior researcher phd candidate fabian hoppe https www fiz karlsruhe de en forschung lebenslauf und publikationen fabian hoppe junior researcher phd candidate mary ann tan https www fiz karlsruhe de en forschung lebenslauf und publikationen mary ann tan junior researcher phd candidate tabea tietz https www fiz karlsruhe de index php en forschung lebenslauf und publikationen tabea tietz junior researcher mahsa vafaie https www fiz karlsruhe de en forschung lebenslauf und publikationen mahsa vafaie junior researcher phd candidate cristian santini https www fiz karlsruhe de de forschung lebenslauf und publikationen cristian santini junior researcher phd candidate radina sofronova student co worker | server |
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ClubBudgeting | clubbudgeting a club budgeting windows app for software engineering 310 the application will be written in c with a database attached holding all financial information partaining to the clubs there will be two types of users available club users and the administrator the interface is operable provided a connection to the database exists | server |
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personal-text-summarizer | personal text summarizer table of contents 1 introduction https github com louisteo9 personal text summarizer introduction 2 file description https github com louisteo9 personal text summarizer file description 3 installation https github com louisteo9 personal text summarizer installation 4 instructions https github com louisteo9 personal text summarizer instructions 5 acknowledgement https github com louisteo9 personal text summarizer acknowledgement 6 screenshot https github com louisteo9 personal text summarizer screenshot introduction in this project i will show you how you can create your own personal text summarizer using natural language processing nlp in python you can read the post i published on towards data science here https towardsdatascience com report is too long to read use nlp to create a summary 6f5f7801d355 i used the text from a news article entitled apple acquires ai startup for 50 million to advance its apps you can find the original news article here https analyticsindiamag com apple acquires ai startup for 50 million to advance its apps below is the workflow that we will be following import text clean text and split into sentences remove stop words build word histogram rank sentences select top n sentences for summary this project includes the complete python script that you can use right away to summarize your text file description personal text summarizer ipynb jupyter notebook in preparation for text summarizer br apple acquires ai startup txt news in text file br text summarizer py python script for personal text summarizer br installation apart from nltk natural language toolkit library there should be no extra libraries required to install apart from those coming together with anaconda distribution the code should run with no issues using python versions 3 5 and above libraries used nltk re heapq numpy pandas sys instructions a run this command in the project s root directory python text summarizer py br b enter the following inputs when prompted br nbsp nbsp nbsp nbsp 1 enter text file name apple acquires ai startup txt br nbsp nbsp nbsp nbsp 2 enter output file name e g summary txt summary txt br nbsp nbsp nbsp nbsp 3 enter max sentence word length choose between 25 30 30 br nbsp nbsp nbsp nbsp 4 enter number of sentences you want in summary choose between 3 5 3 br c check your output file after summarization task completed please check your output file message appears acknowledgement next edge coding https www udemy com user bijoyan das for inspiring me on how to create my personal text summarizer screenshot https github com louisteo9 personal text summarizer blob main screenshots algorithm 20in 20action gif | ai |
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recipez | cover https user images githubusercontent com 26685910 222871259 dee07924 a8b9 4c33 b8c1 20b2b7f6cb25 png github actions https github com fongwailam recipez actions workflows django yml badge svg coursework recip ez is a assessed coursework for internet technology m this web application is developed using python django html css and associated technologies including javascript jquery or ajax the css framework bootstrap is used to support the responsive web design this web development is now deployed to https recipez pythonanywhere com youtube demo presented by qi li https youtu be yhqyoiepbem overview recip ez is a website that provides a welcoming and engaging community for home cooks which allows users to share and view recipes from other creators community members the goal of this website is to provide inspiration and convenience to people who are interested in cooking at home and exploring new dishes which has become increasingly popular since the covid 19 pandemic a user friendly interface with easy navigation users can easily browse search and save their favorite recipes users can upload and share their own recipes users can rate review and comment on other users content clear instructions attractive photos and ingredient information simple intuitive mobile friendly interface getting started getting started the recipez application is deceptively simple to run based on a standard django project structure to get a local copy up and running follow these simple example steps prerequisites this is an example of how to list things you need to use the software and how to install them you will need python3 and the django framework installed on your machine python sh sudo apt get install python3 sudo apt get install python3 pip installation 1 clone the repo sh git clone https github com fongwailam recipez git 2 install python pip packages sh pip install r requirements txt 3 create the migration files sh python manage py makemigrations recipez python manage py migrate 4 populate the database with our test data sh python populate testdata py 5 run the django development server sh python manage py runserver 5000 p align right a href readme top back to top a p system architecture image https user images githubusercontent com 119539611 222837322 89a38d68 39f8 4740 9a02 2e8a35cb7761 png site map image https user images githubusercontent com 119539611 222839946 c4a3dd07 f0d9 4d88 b380 cc69473927ff png | server |
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ansible-osx-setup | macos setup with ansible this repository contains an ansible configuration for setting up a mac from scratch it s primary purpose is setting up a new mac from scratch but i endeavor to also use it for adding new software as i go so that it remains up to date at the moment it s being used for setting up m1 based macs running macos monterey getting started there s a simple shell script in bin bootstrap which will perform the initial steps of 1 installing xcode 2 installing ansible 3 fetching required ansible roles and collections and then runs the main playbook ansible osx yml for future updates bin apply can be used to run just the ansible playbook without the setup commands it s important to note that this isn t designed to be particularly robust particularly when it comes to required env vars it may be required to run this then close the terminal and open it again and re run and then repeat this process a few times what s installed the easiest way to understand what s installed is to read the contents of ansible osx yml this configuration is fairly specific to the range of development i do personally but may serve as a useful starting point for others the core components are zsh oh my zsh as the primary shell homebrew for package management asdf for version management along with plugins and default versions for ruby python javascript elixir and erlang virtualbox vagrant and docker vscode default plugins and configuration a selection of android sdk s lots of other tools and utilities customising everything can be customised by editing ansible osx yml | front_end |
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bugbug | bugbug task status https community tc services mozilla com api github v1 repository mozilla bugbug master badge svg https community tc services mozilla com api github v1 repository mozilla bugbug master latest codecov https codecov io gh mozilla bugbug branch master graph badge svg https codecov io gh mozilla bugbug a href https chat mozilla org room bugbug mozilla org target blank img src https img shields io badge chat 20on 20 m 23bugbug 3amozilla org blue a bugbug aims at leveraging machine learning techniques to help with bug and quality management and other software engineering tasks such as test selection and defect prediction chat with us in the bugbug https chat mozilla org room bugbug mozilla org matrix room more information on the mozilla hacks blog https hacks mozilla org 2020 07 testing firefox more efficiently with machine learning https hacks mozilla org 2019 04 teaching machines to triage firefox bugs classifiers assignee the aim of this classifier is to suggest an appropriate assignee for a bug backout the aim of this classifier is to detect patches that might be more likely to be backed out because of build or test failures it could be used for test prioritization scheduling purposes bugtype the aim of this classifier is to classify bugs according to their type the labels are gathered automatically from bugs right now they are crash memory performance security the plan is to add more types after manual labeling component the aim of this classifier is to assign product component to untriaged bugs defect vs enhancement vs task extension of the defect classifier to detect differences also between feature requests and development tasks defect bugs on bugzilla aren t always bugs sometimes they are feature requests refactorings and so on the aim of this classifier is to distinguish between bugs that are actually bugs and bugs that aren t the dataset currently contains 2110 bugs the accuracy of the current classifier is 93 precision 95 recall 94 devdocneeded the aim of this classifier is to detect bugs which should be documented for developers duplicate the aim of this classifier is to detect duplicate bugs needsdiagnosis https github com webcompat webcompat com blob main docs ml process md the aim of this classifier is to detect issues that are likely invalid and don t need to be diagnosed for webcompat use case qaneeded the aim of this classifier is to detect bugs that would need qa verification regression vs non regression bugzilla has a regression keyword to identify bugs that are regressions unfortunately it isn t used consistently the aim of this classifier is to detect bugs that are regressions regressionrange the aim of this classifier is to detect regression bugs that have a regression range vs those that don t regressor docs models regressor md the aim of this classifier is to detect patches which are more likely to cause regressions it could be used to make riskier patches undergo more scrutiny spam the aim of this classifier is to detect bugs which are spam stepstoreproduce the aim of this classifier is to detect bugs that have steps to reproduce vs those that don t testfailure the aim of this classifier is to detect patches that might be more likely to cause test failures testselect the aim of this classifier is to select relevant tests to run for a given patch tracking the aim of this classifier is to detect bugs to track uplift the aim of this classifier is to detect bugs for which uplift should be approved and bugs for which uplift should not be approved setup and prerequisites install the python dependencies pip3 install r requirements txt you may also need pip install r test requirements txt depending on the parts of bugbug you want to run you might need to install dependencies from other requirement files find them with find name requirements currently python 3 10 is required you can double check the version we use by looking at setup py also libgit2 needs v1 0 0 https github com libgit2 libgit2 releases tag v1 0 0 only in experimental on debian https wiki debian org debianexperimental might be required if you can t install it skip this step sudo apt get t experimental install libgit2 dev auto formatting this project is using pre commit https pre commit com please run pre commit install to install the git pre commit hooks on your clone every time you will try to commit pre commit will run checks on your files to make sure they follow our style standards and they aren t affected by some simple issues if the checks fail pre commit won t let you commit usage training run the trainer py script with the command python m scripts trainer with help to see the required and optional arguments of the command to perform training warning this takes 30min testing to use a model to classify a given bug you can run python m scripts bug classifier model name bug id id of a bug from bugzilla n b if you run the classifier script without training a model first it will automatically download an already trained model example for the defect model training to train the model for mode defect python3 m scripts trainer defect testing to use the model to classify a given bug you can run python m scripts bug classifier defect bug id id of a bug from bugzilla running the repository mining script note this section is only necessary if you want to perform changes to the repository mining script otherwise you can simply use the commits data we generate automatically 1 clone https hg mozilla org mozilla central 2 run mach vcs setup in the directory where you have cloned mozilla central 3 enable the extensions mentioned in infra hgrc https github com mozilla bugbug blob master infra hgrc for example if you are on linux you can add firefoxtree to the extensions section of the hgrc file as firefoxtree mozbuild version control tools hgext firefoxtree 4 run the repository py script with the only argument being the path to the mozilla central repository note if you run into problems it s possible the version of mercurial you are using is not supported check the docker definition at infra dockerfile commit retrieval to see what we are using in production note the script will take a long time to run on my laptop more than 7 hours if you want to test a simple change and you don t intend to actually mine the data you can modify the repository py script to limit the number of analyzed commits simply add limit 1024 to the call to the log command structure of the project bugbug labels contains manually collected labels bugbug db py is an implementation of a really simple json database bugbug bugzilla py contains the functions to retrieve bugs from the bugzilla tracking system bugbug repository py contains the functions to mine data from the mozilla central firefox repository bugbug bug features py contains functions to extract features from bug commit data bugbug model py contains the base class that all models derive from bugbug models contains implementations of specific models bugbug nn py contains utility functions to include keras models into a scikit learn pipeline bugbug utils py contains misc utility functions bugbug nlp contains utility functions for nlp bugbug labels py contains utility functions for handling labels bugbug bug snapshot py contains a module to play back the history of a bug bugbug github py contains functions to retrieve issues from github for a specified owner repository using bugbug for non mozilla projects bugbug is focussing on mozilla use cases for firefox bugzilla and github however we will be happy to accept pull requests adding support for other projects or bug trackers | machine-learning software-engineering | ai |
asay.mobile | asay mobile android app developed by group 13 in the courses 62550 user experience and mobile application development and 02368 object oriented analysis and design at dtu technical university of denmark continuous integration build status https travis ci org gr13e17 asay mobile svg branch develop https travis ci org gr13e17 asay mobile group 13 members andreas soelberg https github com soelberg484 bertram henning https github com bertramhenning emil hvid hansen https github com emilhvid freya helstrup https github com freyahelstrup mathias larsen https github com mathiasslarsen | front_end |
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HandGestureControlledCar | esd2020 bold assignment for embedded system design class bold br made for atmega328p with c c br use kalman filter out noise from mp6050 gyroscope value br nrf24l01 to send control signal from mcu on hand to mcu on car br pcb design https user images githubusercontent com 48411041 155682077 19275e74 c914 4031 92ac abc16619df7a png all component assembled https user images githubusercontent com 48411041 155681972 e26a3eb8 917e 4fe4 b5a3 9882ee44b7cf png controller https user images githubusercontent com 48411041 155681999 c3fded92 0ab7 40c4 9e0b 8f1073413e7a png receiver https user images githubusercontent com 48411041 155682017 45418903 b08d 49bb a7a3 8a244b7e8918 png | os |
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BasicEnglishTranslator | basic english translator according to http ogden basic english org http ogden basic english org if one were to take the 25 000 word oxford pocket english dictionary and take away the redundancies of our rich language and eliminate the words that can be made by putting together simpler words we find that 90 of the concepts in that dictionary can be achieved with 850 words the shortened list makes simpler the effort to learn spelling and pronunciation irregularities the rules of usage are identical to full english so that the practitioner communicates in perfectly good but simple english the goal of the basic english translator was to take this idea specifically the 850 words http ogden basic english org words html proposed by charles k ogden in the 1930s each of the international and supplementary words http ogden basic english org intlword html needed for various industries and the next steps words http ogden basic english org intlword html that english speakers should know and simplify a given block of text to these words research question how can natural language processing be used to translate a block a text into a simpler block of basic english text data understanding basic simple english there are versions of simple or basic english charles k ogden http ogden basic english org s 850 words being the most common simple english wikipedia https simple wikipedia org wiki simple english wikipedia being another with a broader vocabulary googlenews vectors negative300 bin a set of words from google news already vectorized https github com mmihaltz word2vec googlenews vectors blob master googlenews vectors negative300 bin gz may help with translation of input text into simple english at least until my model is ready data preparation given how long gensim functions take to run forcing a user to wait for gensim to calculate cosine similarities is not practical instead i will create a dictionary in both the pythonic and literal sense of the term to map english words to words that appear on ogden s list the following flow chart shows this process section id graphic 1 markdown 1 img align center src images data prep png alt blue basicenglishtranslator py graph model py functions green gensim purple networkx red nlt section first find best matches for a word this is done by taking a gensim model in my case google news https github com mmihaltz word2vec googlenews vectors blob master googlenews vectors negative300 bin gz take each word and find the top 10 connections by cosine similarity keep only the top 3 that match in parts of speech remove the worst match using gensim store in a dictionary next make a weighted graph where each word connects to the two words it was matched to plus any words matched to it set the weights of the graph to sine similarity sup 2 sup i e 1 cosine similarity sup 2 sup find shortest path to basic english words starting from the most complex and heading down to least so that the model favors more simplistic words make a dictionary that stores this information save in a cpickle file so we can access it whenever we need to translate text evaluation section id graphic 2 markdown 1 img align right src images flesch kincaid graph png alt flesch kincaid scores of original document on the x axis and the difference between the translated and the original on the y section 1 checking basic english translator for this i scraped some articles from both simple english wikipedia https simple wikipedia org wiki main page and standard english wikipedia https en wikipedia org wiki main page i then calculated the complexity of the text using flesch kincaid reading levels https en wikipedia org wiki flesch e2 80 93kincaid readability tests and compared the original documents to the translations provided by my model for my first model where my starting dictionary was a construction of basic english words with a mix of prefixes and suffixes already simple text was reduced in complexity by an average of 0 16 grade levels more complex text was reduced by an average of 0 71 grade levels this method did create a number of issues namely complex words that are similar to basic english words creeping into the model see below for an example where chip of wood microprocessor of wood when basing the starting dictionary off of a word 2 vec model of actual basic english texts http ogden basic english org texts html simple english wikipedia texts dropped half a grade level regular english wikipedia texts dropped a full grade level 2 look at actual text while not effective to check everything it does allow for some basic intuition on the text itself example below is the simple wikipedia article for spoon https simple wikipedia org wiki spoon earlier model another spoon is another instrument for eating it is sometimes used for eating foods that are like liquids like soup and soy and it might also be used for stirring humans use spoons every day spoons are mostly useful for eating liquids such as soup though some solids like tapioca and ice butter are also sometimes eaten with spoons another ladle is another kind of serving spoon used for soup lager or other foods there are many different kinds of spoons there are dessert spoons soup spoons baby spoons teaspoons thirds and others there are also spoons that are collector whips and are monopolist another farmer of money some performers even use two spoons as another musical instrument like another castanet spoons have been used as computers for eating since paleolithic times prehistoric peoples probably used shells or small sheets of wood as spoons both the testament and latin words for spoon come from the word superposition which is another spiral shaped lager shell the anglo saxon word spoon means another sidewalk or spicy of wood constructed dictionary model a spoon is a theory for feasting it is normally used for feasting foods that are like liquids like soup and honeyed and it can also be used for boiling humans use spoons every day spoons are mostly useful for feasting liquids such as soup though some solids like cereal and ice cheese are also normally eaten with spoons a spoon is a kind of serving spoon used for soup soup or other foods there are many different kinds of spoons there are dessert spoons soup spoons baby spoons cups cups and others there are also spoons that are collector goods and are value a i of money some artists even use two spoons as a musical instrument like a verse spoons have been used as practices for feasting since paleolithic times prehistoric peoples probably used shells or small bits of wood as spoons both the greek and latin words for spoon come from the word endothelium which is a spiral shaped snake shell the anglo saxon word spoon means a microprocessor or faction of wood dictionary based on modeling basic english texts a spoon is a framework for eating it is normally used for eating foods that are like liquids like soup and honeyed and it could also be used for boiling beings use spoons every day spoons are mostly useful for eating liquids such as soup although some impurities like cereal and ice perfume are also normally eaten with spoons a spoon is a kind of serving spoon used for soup soup or other foods there are many different kinds of spoons there are dessert spoons soup spoons baby spoons cups cups and others there are also spoons that are collector goods and are value a lot of money some bands even use two spoons as a musical instrument like a roman spoons have been used as ways for eating since paleolithic times prehistoric peoples probably used shells or small bits of wood as spoons both the greek and latin words for spoon come from the word locus which is a spiral shaped frog shell the anglo saxon word spoon means a quantifier or delhi of wood 3 look at word associations in a graph the graph highlights the word with a yellow dot for ease of searching and has three colors blue words are words from ogden s basic english http ogden basic english org red words are words that are variations of the basic words and represent stopping points in the translation and green words are words that will be replaced just keep tracing out the path until a red or blue word is hit img align left src images spoon graph png alt graph model of spork to spoon section future plans 1 n grams phraser applying a phraser to the text to be translated and incorporating n grams in the modeling would allow for phrase to word and word to phrase translations though may add computational time to the end user which is why gensim modeling in the main translation was avoided in the first place 2 x model books written in basic english charles k ogden wrote books in basic english to show that his theory worked running a gensim model on these texts would allow for a better starting dictionary based on which variants of each basic english word is actually used rather than running through a list of prefixes and suffixes and assuming all were valid ogden s original semantic meaning being preserved the model used here uses the words as they were used in google news basic english has specific semantic rules http ogden basic english org rules html that would be better preserved through this process 3 use a more american word list theory since charles k ogden was british you may notice that pants are replaced with trousers finding a different model to use based on research done in the us for english language learner populations may make for a more useful model at least for american ell students deployment to use the program go to www basicenglishtranslator com http www basicenglishtranslator com this was made with flask and runs off of an ec2 with nginx the flag artwork was taken from a creative commons site and was made by nicolas raymond http freestock ca flags maps g80 english language grunge flag p1173 html | ai |
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persian-json-placeholder | h1 align center persian json placeholder h1 p dir rtl front end api p h2 dir rtl restfulapi h2 p dir rtl rest api restful api api web api rest restful rest p h2 dir rtl restfulapi h2 p api html xml json api rest api p h2 dir rtl h2 h4 dir rtl axios h4 axios get https json xstack ir api v1 users then result console log result catch err console log err h4 jquery h4 get ajax test html function data result html data alert load was performed h2 h2 url https json xstack ir api v1 users https json xstack ir api v1 user 1 https json xstack ir api v1 posts https json xstack ir api v1 post dolt chyzy jz yk anban gshadhy pa https json xstack ir api v1 categories https json xstack ir api v1 category kfsh mrdanh https json xstack ir api v1 products https json xstack ir api v1 product goshy mobayl tktm https json xstack ir api v1 comments https json xstack ir api v1 comment 1 h2 h2 example sort https json xstack ir api v1 products sort view sorttype https json xstack ir api v1 products sorttype desc https json xstack ir api v1 products limit 45 https json xstack ir api v1 products limit 45 sort sell count sorttype desc asc desc | json json-api json-api-server persian placeholder placeholderapi 4xmen xstack api rest-api rest restful-api restful | front_end |
web-development-course-list | web development course list it s that time of year again and brad traversy has released his annual web development roadmap for the upcoming year it is a fantastic resource that i know we are all thankful for being a web developer has never been better and as shown in the video there are a ton of technologies at our disposal however this can also be quite intimidating for beginners so i have composed a list below of the top udemy courses for each slide as well some other resources hopefully easing your decision making each block of courses is listed in alphabetical order for simplicity s sake you certainly do not need to learn everything here this list aims to simply provide you with the options of what you can learn and some things you should learn such as html css and javascript so it really is up to you what you want to learn watch the video here https www youtube com watch v vfgw0qiy2i0 and of course there are other learning platforms besides udemy but it s the platform i am personally most familiar with and i think one of the most popular so that s what i am going with so without further ado let s get learning if udemy s not your jam though no worries there are plenty of other resources to learn about web development from some of which i ve listed below udemy alternatives academicearth https academicearth org codecademy https www codecademy com coursera https www coursera org eduonix https www eduonix com edx https www edx org freecodecamp https www freecodecamp org frontend masters https frontendmasters com hacker io https hackr io khan academy https www khanacademy org laracasts https laracasts com learn x in y minutes https learnxinyminutes com level up tutorials https www leveluptutorials com lynda https www lynda com mdn web docs https developer mozilla org packt https www packtpub com pluralsight https www pluralsight com scrimba https scrimba com skillshare https www skillshare com teach yourself computer science https teachyourselfcs com the odin project https www theodinproject com treehouse https teamtreehouse com udacity https www udacity com w3schools https www w3schools com wes bos https wesbos com youtube https www youtube com basic tools slide 1 img slide 01 jpg computer os linux macos windows text editors atom https atom io brackets http brackets io komodo edit https www activestate com products komodo edit sublime text https www sublimetext com vim https www vim org visual studio code https code visualstudio com ides jetbrains https www jetbrains com jetbrains has multiple ides for multiple languages komodo ide https www activestate com products komodo ide visual studio https visualstudio microsoft com web browsers chrome https www google com chrome edge https www microsoft com en us edge firefox https www mozilla org en ca firefox opera https www opera com safari https www apple com ca safari design adobe illustrator https www adobe com ca products illustrator html adobe photoshop https www photoshop com adobe xd https www adobe com ca products xd html affinity https affinity serif com figma https www figma com invision https www invisionapp com sketch https www sketch com html css slide 2 img slide 02 jpg html css build responsive real world websites with html5 and css3 https www udemy com course design and develop a killer website with html5 and css3 by jonas schmedtmann 77 lectures 12hrs modern html css from the beginning including sass https www udemy com course modern html css from the beginning by brad traversy 129 lectures 21hrs web design for beginners real world coding in html css https www udemy com course web design for beginners real world coding in html css by brad schiff 71 lectures 11hrs css advanced css and sass flexbox grid animations and more https www udemy com course advanced css and sass by jonas schmedtmann 125 lectures 28hrs css the complete guide 2020 incl flexbox grid sass https www udemy com course css the complete guide incl flexbox grid sass by maximilian schwarzm ller 296 lectures 22 5hrs css bootcamp master css including css grid flexbox https www udemy com course css bootcamp master in css including css grid flexbox by code and create 89 lectures 11 5hrs sass slide 3 img slide 03 jpg sass advanced css and sass flexbox grid animations and more https www udemy com course advanced css and sass by jonas schmedtmann 125 lectures 28hrs css the complete guide 2020 incl flexbox grid sass https www udemy com course css the complete guide incl flexbox grid sass by maximilian schwarzm ller 296 lectures 22 5hrs sass the complete sass course css preprocessor https www udemy com course sass the complete sass course css preprocessor by code and create 51 lectures 6hrs the complete sass scss course from beginner to advanced https www udemy com course sasscourse by joe parys 41 lectures 4hrs the sass course learn sass for real world websites https www udemy com course learn sass by brad hussey 18 lectures 3 5hrs css ui frameworks choose one slide 4 img slide 04 jpg tailwind nothing here yet bootstrap bootstrap 4 create 4 real world projects https www udemy com course bootstrap 4 create 4 real world projects latest 411 by code and create 64 lectures 10hrs bootstrap 4 from scratch with 5 projects https www udemy com course bootstrap 4 from scratch with 5 projects by brad traversy 74 lectures 11 5hrs bootstrap 4 tutorial and 10 projects course https www udemy com course bootstrap 4 beta ultimate projects course by john smilga 250 lectures 44hrs the bootstrap 4 bootcamp https www udemy com course bootstrap 4 bootcamp by colt steele 87 lectures 11 5hrs the complete bootstrap masterclass course build 4 projects https www udemy com course bootstrapcourse by joe parys 67 lectures 7hrs materialize master materialize and code 3 projects with 9 pages https www udemy com course materialize responsive web design and development by jeppe schaumburg jensen 94 lectures 9hrs materialize css from scratch with 5 projects https www udemy com course materialize css from scratch with 5 projects by brad traversy 63 lectures 10 5hrs bulma master bulma css framework and code 4 projects with 14 pages https www udemy com course bulma responsive web design and development by jeppe schaumburg jensen 127 lectures 13hrs ui design slide 5 img slide 05 jpg ui ux complete web mobile designer in 2021 ui ux figma more https www udemy com course complete web designer mobile designer zero to mastery by andrei neagoie daniel schifano 249 lectures 25hrs learn figma ui ux design essential training https www udemy com course learn figma by caleb kingston 47 lectures 4hrs master digital product design ux research ui design https www udemy com course master digital product design ux research ui design by rob sutcliffe 168 lectures 15 5hrs sketching for ux designers boost ux work with pen paper https www udemy com course sketching for ux designers by krisztina szerovay istv n sz p gergely szerovay 51 lectures 4 5hrs the complete app design course ux ui and design thinking https www udemy com course the complete app design course ux and ui design by app brewery co 62 lectures 3hrs user experience design essentials adobe xd ui ux design https www udemy com course ui ux web design using adobe xd by daniel walter scott 94 lectures 13hrs vanilla javascript slide 6 img slide 06 jpg for beginners javascript the complete guide 2021 beginner advanced https www udemy com course javascript the complete guide 2020 beginner advanced by maximilian schwarzm ller 615 lectures 52 5hrs javascript understanding the weird parts https www udemy com course understand javascript by anthony alicea 85 lectures 11 5hrs learn javascript full stack from scratch https www udemy com course learn javascript full stack from scratch by brad schiff 119 lectures 27hrs modern javascript complete guide from novice to ninja https www udemy com course modern javascript from novice to ninja by shaun pelling 173 lectures 19hrs modern javascript from the beginning https www udemy com course modern javascript from the beginning by brad traversy 122 lectures 21 5hrs the complete javascript course 2021 from zero to expert https www udemy com course the complete javascript course by jonas schmedtmann 310 lectures 67hrs the modern javascript bootcamp course 2020 https www udemy com course javascript beginners complete tutorial by colt steele stephen grider 483 lectures 52hrs the modern javascript bootcamp https www udemy com course modern javascript by andrew mead 155 lectures 29 5hrs es6 focused accelerated es6 javascript training https www udemy com course es6 bootcamp next generation javascript by maximilian schwarzm ller 115 lectures 6hrs es6 javascript the complete developer s guide https www udemy com course javascript es6 tutorial by stephen grider 68 lectures 6hrs project focused 20 web projects with vanilla javascript https www udemy com course web projects with vanilla javascript by brad traversy 121 lectures 16hrs 50 projects in 50 days html css javascript https www udemy com course 50 projects 50 days by brad traversy florin pop 164 lectures 18 5hrs javascript 2020 build 55 real projects games pure js code https www udemy com course javascript course projects by laurence svekis 696 lectures 51 5hrs javascript tutorial and projects course https www udemy com course javascript tutorial for beginners w by john smilga 355 lectures 40hrs javascript web projects 20 projects to build your portfolio https www udemy com course javascript web projects to build your portfolio resume by andrei neagoie jacinto wong 233 lectures 33hrs advanced javascript advanced javascript https www udemy com course javascript advanced by asim hussain 47 lectures 6 5hrs advanced javascript topics https www udemy com course learn modern javascript advanced topics by steven hancock 93 lectures 16hrs javascript the advanced concepts https www udemy com course advanced javascript concepts by andrei neagoie 225 lectures 25hrs other tools to start learning slide 7 img slide 07 jpg git github complete git guide understand and master git and github https www udemy com course git and github complete guide by bogdan stashchuk 267 lectures 22hrs git github masterclass https www udemy com course git and github masterclass by tim buchalka eduardo rosas 73 lectures 11 5hrs git a web developer job mastering the modern workflow https www udemy com course git a web developer job mastering the modern workflow by brad schiff 71 lectures 15hrs git complete the definitive step by step guide to git https www udemy com course git complete by jason taylor 84 lectures 6hrs git essentials learn git with bitbucket and sourcetree https www udemy com course git with bitbucket and sourcetree by justin rose 58 lectures 2 5hrs git github gitkraken version control without command line https www udemy com course git github gitkraken version control without command line by peter gunardi 35 lectures 2 5hrs git advanced commands https www udemy com course git advanced commands by brian gorman 40 lectures 4hrs github ultimate master git and github beginner to expert https www udemy com course github ultimate by jason taylor 151 lectures 6 5hrs npm understanding npm node js package manager https www udemy com course understanding npm by bogdan stashchuk 41 lectures 2 5hrs yarn yarn dependency management the complete guide https www udemy com course yarn dependency management by ray viljoen 22 lectures 1 5hrs parcel parcel bundler the complete tutorial https www udemy com course parcel bundler the complete tutorial by viktor pyskunov 35 lectures 3hrs webpack webpack 5 the complete guide for beginners https www udemy com course webpack from beginner to advanced by viktor pyskunov 63 lectures 4 5hrs a bit of everything git a web developer job mastering the modern workflow https www udemy com course git a web developer job mastering the modern workflow by brad schiff 68 lectures 15hrs javascript infrastructure cli npm babel 7 and webpack 4 https www udemy com course 2019 js infrastructure course npm babel 7 webpack 4 by onlykiosk tech 68 lectures 3 5hrs basic front end deployment slide 8 img slide 08 jpg slide 9 img slide 09 jpg github pages git a web developer job mastering the modern workflow https www udemy com course git a web developer job mastering the modern workflow by brad schiff 71 lectures 15hrs netlify netlify the complete guide 2020 fullstack serverless https www udemy com course netlify complete by sashrika waidyarathna 35 lectures 3hrs front end framework state management choose one slide 10 img slide 10 jpg react complete react developer in 2021 w redux hooks graphql https www udemy com course complete react developer zero to mastery by andrei neagoie yihua zhang 360 lectures 40 5hrs graphql with react the complete developers guide https www udemy com course graphql with react course by stephen grider 115 lectures 13hrs modern react with redux 2020 update https www udemy com course react redux by stephen grider 563 lectures 52 5hrs react the complete guide incl hooks react router redux https www udemy com course react the complete guide incl redux by maximilian schwarzm ller 491 lectures 40 5hrs react front to back https www udemy com course modern react front to back by brad traversy 91 lectures 14hrs the complete react developer course w hooks and redux https www udemy com course react 2nd edition by andrew mead 200 lectures 39hrs the complete react js redux course build modern web apps https www udemy com course the complete react js redux course build modern web apps by rob percival rayan slim 71 lectures 8 5hrs the modern react bootcamp hooks context nextjs router https www udemy com course modern react bootcamp by colt steele 312 lectures 39hrs react project focused react tutorial and projects course https www udemy com course react tutorial and projects course by john smilga 495 lectures 56hrs the react practice course learn by building projects https www udemy com course the react practice course learn by building projects by coding revolution 218 lectures 44hrs react advanced advanced react and redux 2020 edition https www udemy com course react redux tutorial by stephen grider 239 lectures 21hrs vue build web apps with vue js 2 firebase https www udemy com course build web apps with vuejs firebase by shaun pelling 118 lectures 11 5hrs the complete vue js course https www udemy com course the complete vue js course by coding revolution 204 lectures 25 5hrs the complete vue js developer course inc vue js 2 https www udemy com course vue js 2 the full guide by real apps vuex router node by filip jerga rob percival 279 lectures 44hrs vue js 2 the complete guide incl vue router vuex https www udemy com course vuejs 2 the complete guide by maximilian schwarzm ller 400 lectures 22hrs vue js 2 from beginner to professional includes vuex https www udemy com course vuejs from beginner to professional by bo andersen 221 lectures 15 5hrs vue js essentials with vuex and vue router https www udemy com course vue js course by stephen grider 139 lectures 10 5hrs angular angular full app with angular material angularfire ngrx https www udemy com course angular full app with angular material angularfire ngrx by maximilian schwarzm ller 140 lectures 11hrs angular the complete guide 2020 edition https www udemy com course the complete guide to angular 2 by maximilian schwarzm ller 503 lectures 37hrs angular crash course for busy developers https www udemy com course angular crash course by mosh hamedani 137 lectures 10 5hrs angular essentials angular 2 with typescript https www udemy com course angular essentials angular 2 angular 4 with typescript by maximilian schwarzm ller 119 lectures 6 5hrs angular front to back https www udemy com course angular 4 front to back by brad traversy 73 lectures 11 5hrs learn and understand angularjs https www udemy com course learn angularjs by anthony alicea 55 lectures 7hrs ngrx with ngrx data the complete guide free e book https www udemy com course ngrx course by angular university 52 lectures 6hrs the complete angular course beginner to advanced https www udemy com course the complete angular master class by mosh hamedani 376 lectures 29 5hrs svelte svelte tutorial and projects course https www udemy com course svelte tutorial and projects course by john smilga 150 lectures 15 5hrs svelte js the complete guide incl sapper js https www udemy com course sveltejs the complete guide by maximilian schwarzm ller 196 lectures 12 5hrs typescript slide 11 img slide 11 jpg typescript typescript the complete developer s guide 2020 https www udemy com course typescript the complete developers guide by stephen grider 278 lectures 24 5hrs understanding typescript 2020 edition https www udemy com course understanding typescript by maximilian schwarzm ller 352 lectures 22hrs testing slide 12 img slide 12 jpg testing node js unit testing in depth https www udemy com course nodejs unit testing in depth by murtez alrohani 45 lectures 2 5hrs react testing with jest and enzyme https www udemy com course react testing with jest and enzyme by bonnie schulkin 165 lectures 12hrs the complete guide to testing javascript node applications https www udemy com course the complete guide to testing javascript node applications by kati frantz 24 lectures 2hrs unit testing your javascript with jasmine https www udemy com course unit testing your javascript with jasmine by juan lizarazo 86 lectures 6hrs server side rendering slide 13 img slide 13 jpg next react complete next js with react node beautiful portfolio app https www udemy com course awesome nextjs with react and node amazing portfolio app by filip jerga 371 lectures 60hrs modern server side rendering with react and next js https www udemy com course modern server side rendering with react and nextjs by eduardo silva 87 lectures 8hrs next js with sanity cms serverless blog app w vercel https www udemy com course nextjs with sanity cms 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udemy com course angular universal course by angular university 32 lectures 4 5hrs static site generators choose one slide 14 img slide 14 jpg gatsby react gatsby js firebase build hybrid realtime static sites https www udemy com course gatsby js firebase hybrid realtime static sites by tom phillips 65 lectures 5hrs gatsby js build pwa blog with graphql and react wordpress https www udemy com course gatsby js build pwa blog with graphql and react wordpress by rangel stoilov 42 lectures 4hrs gatsby js build static sites with react wordpress graphql https www udemy com course gatsby js react wordpress graphql by tom phillips 42 lectures 4hrs gatsby tutorial and projects course https www udemy com course gatsby tutorial and projects course by john smilga 236 lectures 22hrs the gatsby masterclass https www udemy com course the gatsby masterclass by reed barger 43 lectures 4hrs gridsome vue blazing fast vue and graphql with gridsome https www udemy com course blazing fast vue and graphql with gridsome by reed barger 28 lectures 3hrs 11ty javascript alternative to jekyll nothing here yet jekyll ruby jekyll make fast secure static sites and blogs with jekyll https www udemy com course static website generator fast secure sites blogs with jekyll by jana bergant 31 lectures 2 5hrs hugo nothing here yet headless cms choose one slide 15 img slide 15 jpg strapi the complete strapi course https www udemy com course the complete strapi course by alex v 327 lectures 27hrs sanity io next js with sanity cms serverless blog app w vercel https www udemy com course nextjs with sanity cms serverless blog app w vercel by filip jerga 81 lectures 12 5hrs contentful build a website using reactjs and contentful headless cms https www udemy com course build a website using reactjs and contentful headless cms by sarfaraz kasmani 55 lectures 6hrs prismic gatsby js prismic build rapid gatsby sites gatsby 2020 https www udemy com course gatsby js prismic netlify by sarfaraz kasmani 35 lectures 3hrs wordpress complete wordpress theme plugin development course 2020 https www udemy com course wordpress theme and plugin development course by zac gordon 176 lectures 16hrs the complete wordpress aliexpress dropship course https www udemy com course the complete aliexpress dropshipping course by tim sharp 65 lectures 4 5hrs the complete wordpress website business course https www udemy com course the complete wordpress website business course by rob percival gregg davis 102 lectures 21 5hrs wordpress for beginners master wordpress quickly https www udemy com course wordpress for beginners course by andrew williams 92 lectures 7 5hrs wordpress for beginners create a website step by step https www udemy com course wordpress for beginners create a website blog step by step by brad schiff 25 lectures 5hrs wordpress theme development with bootstrap https www udemy com course bootstrap to wordpress by brad hussey 83 lectures 12hrs the jamstack javascript apis markup slide 16 img slide 16 jpg jamstack jamstack the complete guide https www udemy com course jamstack by ray viljoen 29 lectures 4 5hrs server side language choose one slide 17 img slide 17 jpg node learn and understand nodejs https www udemy com course understand nodejs by anthony alicea 97 lectures 13hrs node js advanced concepts https www udemy com course advanced node for developers by stephen grider 166 lectures 16hrs node js api masterclass with express mongodb https www udemy com course nodejs api masterclass by brad traversy 76 lectures 12hrs node js express mongodb more the complete bootcamp 2020 https www udemy com course nodejs express mongodb bootcamp by jonas schmedtmann 166 lectures 16hrs node js the complete guide to build restful apis 2018 https www udemy com course nodejs master class by mosh hamedani 224 lectures 15hrs nodejs the complete guide incl mvc rest apis graphql https www udemy com course nodejs the complete guide by maximilian schwarzm ller 487 lectures 36hrs the complete node js 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img slide 23 jpg heroku while there aren t really any courses on how to deploy a site to heroku there are plenty of tutorials over on youtube https www youtube com results search query deploy to heroku you can use digital ocean using digital ocean spaces https www udemy com course digital ocean spaces guide by brenton currie 20 lectures 2hrs aws there is a lot to cover about aws use this link https www udemy com courses search q aws to see search results for aws azure there is a lot to cover about azure use this link https www udemy com courses search q azure to see search results for aws nginx nginx fundamentals high performance servers from scratch https www udemy com course nginx fundamentals by ray viljoen 39 lectures 4hrs the perfect nginx server ubuntu edition https www udemy com course the perfect nginx server ubuntu edition by andrew eaton 94 lectures 9hrs apache setup your own web hosting environment https www udemy com course setup your own web hosting environment by gabriel 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python gui development with python and tkinter https www udemy com course desktop gui python tkinter by jose salvatierra 116 lectures 11hrs python tkinter masterclass learn python gui programming https www udemy com course python tkinter masterclass by tim buchalka volkan at 87 lectures 13 5hrs ai machine learning slide 27 img slide 27 jpg python complete guide to tensorflow for deep learning with python https www udemy com course complete guide to tensorflow for deep learning with python by jose portilla 96 lectures 14hrs data science deep learning in python https www udemy com course data science deep learning in python by lazy programmer inc 85 lectures 10 5hrs machine learning data science and deep learning with python https www udemy com course data science and machine learning with python hands on by frank kane 110 lectures 14hrs machine learning a z hands on python r in data science https www udemy com course machinelearning by kirill eremenko hadelin de ponteves 294 lectures 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complete 2020 web development bootcamp https www udemy com course the complete web development bootcamp by angela yu 440 lectures 55hrs the complete web developer course 2 0 https www udemy com course the complete web developer course 2 by rob percival 309 lectures 30 5hrs the complete web developer in 2021 zero to mastery https www udemy com course the complete web developer zero to mastery by andrei neagoie 370 lectures 37hrs the web developer bootcamp 2020 https www udemy com course the web developer bootcamp by colt steele 613 lectures 63hrs full stack advanced the advanced web developer bootcamp https www udemy com course the advanced web developer bootcamp by colt steele elie schoppik tim garcia matt lane 391 lectures 34hrs the complete junior to senior web developer roadmap 2021 https www udemy com course the complete junior to senior web developer roadmap by andrei neagoie 422 lectures 36 5hrs mern mern ecommerce from scratch https www udemy com course mern ecommerce by brad 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course rest api by rajeev sakhuja 50 lectures 7hrs rest api testing automation from scratch rest assured java https www udemy com course rest api automation testing rest assured by rahul shetty 133 lectures 23 5hrs rest api testing automation via postman real google api https www udemy com course rest api testing automation via postman git jenkins jira by sergei semenov 29 lectures 2 5hrs rest apis with flask and python https www udemy com course rest api flask and python by jose salvatierra 170 lectures 17hrs webservices api testing using rest assured api postman https www udemy com course webservices testing restassured api tutorial by rahul arora 138 lectures 37 5hrs webservices rest api testing with soapui real time project https www udemy com course webservices testing with soap ui by rahul shetty 107 lectures 19hrs | front_end |
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web-design-standards-drupal | this repository has been archived and deprecated for current updates please see https www drupal org project uswds u s web design system drupal theme current status archived previously branches were being developed simultaneously for drupal 7 and 8 for further details see the waffle io board https waffle io 18f web design standards drupal background as of 2012 an estimated 24 percent of u s government websites including whitehouse gov most famously were drupal sites that number has only continued to increase just as the bootstrap http drupal org project bootstrap theme bridges the gap between drupal and the bootstrap framework http getbootstrap com a uswds theme will make it simpler and easier for drupal site administrators to use the u s web design standards a drupal 8 version of the theme will additionally make it easier for site administrators to update to this major new version of drupal further context https github com 18f web design standards issues 852 public domain this project is in the worldwide public domain license md 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 | os |
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CDesignPatten | cdesignpatten book lt lt design patterns for embedded system in c | os |
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flash_attention_inference | flash attention inference performance of the c interface of flash attention and flash attention v2 in large language model llm inference scenarios the calculation expression is as follows where the precision of tensor q k v and o is fp16 remove redundant code from flash attention that has nothing to do with inference such as backward dropout bf16 and torch dependencies so you can easily integrate flash attention into llm inference programs o softmax q k t v mha media images mha png support gqa mqa inference group query attention multi query attention inference hybrid inference hybrid inference by prefill and decoding alibi inference attention with linear biases compile environment os linux cmake version 3 12 gcc version 5 cuda version 11 4 gflags install on ubuntu as follows sudo apt get install libgflags dev clone git clone https github com bruce lee ly flash attention inference git build nvidia a100 cd flash attention inference build sh a 80 t release b off build sh a 80 t debug b off rtx3080ti rtx3090 rtx a6000 cd flash attention inference build sh a 86 t release b off build sh a 86 t debug b off run sample run sample sh performance process the data in the log and plot it as a line chart cd tools performance performance sh rtx3090 cuda version 11 8 head num 32 head dim 128 prefill seq the performance of both is similar for short sequences and flash attention v2 performs well in long sequences it can increase by about 50 batch size 128 seq q seq len seq k seq len prefill seq throughput performance rtx3090 prefill seq throughput png batch when the batch is small the flash attention v2 performance is better when the batch is large the performance of the two kernels is comparable batch size batch size seq q 128 seq k 128 prefill batch throughput performance rtx3090 prefill batch throughput png decoding seq the performance of both is similar for short sequences and flash attention performs well in long sequences batch size 128 seq q 1 seq k seq len decoding seq throughput performance rtx3090 decoding seq throughput png batch the flash attention performance is better regardless of the size of the batch batch size batch size seq q 1 seq k 128 decoding batch throughput performance rtx3090 decoding batch throughput png hybrid regardless of the ratio of prefill to decoding flash attention and flash attention v2 are similar in performance batch size 100 seq q 128 seq k 128 hybrid throughput performance rtx3090 hybrid throughput png reference flash attention https github com dao ailab flash attention flash attention v1 0 9 flash attention v2 v2 1 0 cutlass https github com nvidia cutlass cutlass v3 1 0 | cuda flash-attention flash-attention-2 gpu inference large-language-model llm nvidia tensor-core cutlass | ai |
parity-db | a database for the blockchain paritydb is an embedded persistent key value store optimized for blockchain applications design considerations the database is intended to be used for efficiently storing blockchain state encoded into the patricia merkle trie which means most of the keys are fixed size and uniformly distributed most values are small values over 16 kbytes are rare trie nodes may be shared by multiple tries and or branches therefore reference counting is required read performance is more important than write performance for blockchain transaction throughput writes are typically performed in large batches when the new block is imported there s usually some time between subsequent writes when the blockchain client is idle or executes the block api the database is a universal key value storage that supports transactions the api allows the data to be partitioned into columns it is recommended that each column contains entries corresponding to a single data type e g state trie node block headers blockchain transactions etc two types of column indexes are supported hash and btree transactions database supports multiple concurrent readers all writes are serialized writes are performed in batches also known as transactions transactions are applied atomically either all of the transaction data is written or none queries can t retrieve partially committed data no cache database does not implement any custom data caching instead it relies on os page cache performance of a large database therefore depends on how much system memory is available to be used in os page cache durability database is restored to consistent state if io is interrupted at any point note that this state might not be the latest state before the interruption writes already committed but not already saved to disk by the background threads are lost implementation details data structure each column stores data in a set of 256 value tables with 255 tables containing entries of certain size range up to 32kbytes limit the last 256th value table size stores entries that are over 32k split into multiple parts hash columns also include a hash index file metadata metadata file contains database definition this includes a set of columns with configuration specified for each column hash index hash index is an is mmap backed dynamically sized probing hash table for each key the index computes a uniformly distributed 256 bit hash k for index of size n the first n bits of k map to the 512 byte index page each page is an unordered list of 64 8 byte entries each 8 byte entry contains a value address and some additional bits of k an empty entry is denoted with a zero value an empty database starts with n 16 a value address includes an 8 bit value table index and an index of an entry in that table the first 16 kbytes of each index file is used to store statistics for the column value tables value table is a linear array of fixed size entries that can grow as necessary each entry may contain one of the following filled entry that contains 240 bits of k 15 bit data value size compression flag optional reference counter and the actual value tombstone entry this contains an index of the previous tombstone forming a linked list of empty entries multipart entry this is much like filled additionally holding an address of the next entry that holds the continuation of the data hash index operations hash index lookup compute k find index page using first n bits search for a matching entry that has matching key bits use the address in the entry to query the partial k and value from a value table confirm that k matches expected value hash index insertion if an insertion is attempted into a full index page a reindex is triggered page size of 64 index entries trigger a reindex once load factor reaches about 0 52 reindex when a collision can t be resolved a new index table is created with twice the capacity insertion is immediately continued to the new table a background process is started that moves entries from the old table to the new all queries during that process check both tables btree index operations todo transaction pipeline on commit all data is moved to an in memory overlay making it available for queries that data is then added to the commit queue this allows for commit function to return as early as possible commit queue is processed by a commit worker that collects data that would be modified in the index or value tables and writes it to the binary log file as a sequence of commands all modified index and value table pages are placed in the in memory overlay the file is then handled to another background thread that flushes it to disk and adds it to the finalization queue finally another thread handles the finalization queue it reads the binary log file and applies all changes to the tables clearing the page overlay on startup if any log files exist they are validated for corruption and enacted upon the tables license paritydb is primarily distributed under the terms of both the mit license and the apache license version 2 0 at your choice see license apache and license mit for details contribution unless you explicitly state otherwise any contribution intentionally submitted for inclusion in paritydb by you as defined in the apache 2 0 license shall be dual licensed as above without any additional terms or conditions | blockchain |
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Mootor | mootor html5 library for mobile application development mootor is minimalist html5 library for mobile application development demo http emi420 github io mootor demo img width 457 alt screenshot 2023 07 06 at 00 20 40 src https github com emi420 mootor assets 1226194 27b39076 f39c 4fb1 8e77 bd41d011efca documentation getting started https github com emi420 mootor blob master getting started md ui components https github com emi420 mootor blob master doc ui md javascript https github com emi420 mootor blob master doc js md about we received public founding by mincyt mincyt gob ar http mincyt gob ar license you may use any mootor project under the terms of either the mit license or the gnu general public license gpl version 3 c 2012 emilio mariscal want to contribute or use this software fork the project or write me to emi420 at gmail com | front_end |
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FVI_CV | scalable uncertainty for computer vision with functional variational inference div align center img src https raw githubusercontent com happenwah fvi cv master fvi diagram png fbclid iwar0lopuz 2mw9rfs4hs8xsjbuzjgxtflsoxcxsaqmltoedftu9durrwqw5k div code for scalable uncertainty for computer visition with functional variational inference http openaccess thecvf com content cvpr 2020 papers carvalho scalable uncertainty for computer vision with functional variational inference cvpr 2020 paper pdf by eduardo d c carvalho https twitter com happenwah ronald clark http www ronnieclark co uk andrea nicastro https andreanicastro github io and paul h j kelly https www doc ic ac uk phjk cvpr 2020 http cvpr2020 thecvf com bibtex citation record bibtex inproceedings carvalho 2020 cvpr author carvalho eduardo d c and clark ronald and nicastro andrea and kelly paul h j title scalable uncertainty for computer vision with functional variational inference booktitle ieee cvf conference on computer vision and pattern recognition cvpr month june year 2020 pre requisites download folder datasets containing camvid https github com alexgkendall segnet tutorial tree master camvid and pre processed make3d https drive google com open id 1haeng8smggczupuumnvxxinrbgh rjyl install cnn gp package https github com cambridge mlg cnn gp put datasets folder at the same directory level as fvi cv training all models supply base dir as the path containing both fvi cv and datasets folders if more convenient set n epochs to a number smaller than 4000 and use load in order to resume training semantic segmentation on camvid ours boltzmann python3 run fvi seg py base dir base dir training mode deterministic boltzmann mcdropout boltzmann python3 run mcd seg py base dir base dir training mode depth regression on make3d ours gaussian python3 run fvi gaussian depth py base dir base dir training mode ours laplace python3 run fvi laplace berhu depth py base dir base dir training mode likelihood laplace ours berhu python3 run fvi laplace berhu depth py base dir base dir training mode likelihood berhu deterministic laplace python3 run deterministic depth py base dir base dir training mode loss l1 deterministic berhu python3 run deterministic depth py base dir base dir training mode loss berhu mcdropout laplace python3 run mcd laplace depth py base dir base dir training mode computing test results firstly put all trained models bin files and ours berhu likelihood threshold c test txt in folder models test change those filenames to the ones prescribed inside the if name main block in each run py file write same commands as in training but replacing the training mode flag by test mode for obtaining runtime comparison results use test runtime mode instead finally write python3 compare calibration py for computing the mean calibration scores | ai |
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100-days-of-DevSecOps-and-Cloud | sure i ve added checkboxes to the 100 day plan for devsecops and cloud 100 days of devsecops and cloud days 1 10 github and portfolio setup create github profile with professional readme md as homepage build portfolio site with react showcasing 4 projects with tech details architecture diagrams and demo videos optimize seo with meta tags keywords sitemaps add google analytics to track traffic linux administration create 5 shell scripts to automate server setup tasks user management networking firewall packages blog posts on each script explaining logic and commands build a lamp stack manually as a project troubleshoot common linux issues like high memory usage and slow networks days 11 20 kubernetes concepts deploy a multi tier app with kubernetes demonstrating pods services configmaps secrets optimize kubernetes yaml for best practices like resource limits probes rolling updates monitor kubernetes with prometheus and grafana create custom metrics and dashboards blog about challenges faced and solutions implemented github actions ci cd set up a node js api project with react frontend and mongodb implement github actions workflows for linting testing building deployment add automated semantic versioning and github releases include security scanning performance testing and code coverage metrics days 21 30 cloud native application build a cloud native chat app with react node js websocket and kubernetes focus on scalability high availability and robust error handling containerize components and orchestrate with kubernetes setup monitoring logging and tracing for observability infrastructure as code provision aws infrastructure for above app with terraform and ansible modularize and parameterize terraform code for reusability implement ansible playbooks for configuration management add steps for updates scaling and decommissioning of course here s the continuation of the 100 day plan for devsecops and cloud days 31 40 serverless application develop an image processing api with lambda and s3 for resizing optimize performances use layers caching multithreading monitor costs and usage with cloudwatch set up ci cd pipeline with testing and validation monitoring alerting install prometheus grafana and loki on kubernetes create custom metrics and dashboards for services infrastructure set up alerting rules and integrations with services like slack blog about scaling and securing monitoring platform days 41 50 advanced iac implement reusable terraform modules with inputs and outputs manage terraform state remotely for team usage secure terraform with encryption access controls test iac code thoroughly using terratest automation create ansible roles to configure common services ldap dns databases parameterize playbooks for easy reusability implement idempotent playbooks with error handling write playbooks to automate cluster management scaling upgrades days 51 60 security best practices complete certifications like csslp security harden kubernetes cluster use pod security policies network policies rbac mtls implement security controls for cloud infrastructure vpcs subnets nacls waf perform pen testing and fix vulnerabilities technical writing write 8 blog posts on implemented projects create wiki pages documenting architecture security practices maintain thorough readmes for all repositories standardize markdown formatting for all documentation days 61 70 advanced monitoring implement end to end request tracing with jaeger create interactive grafana dashboards with complex visualizations set up synthetic monitoring to simulate user journeys optimize grafana for performance caching compression pagination cost optimization analyze cloud spend create cost allocation reports right size ec2 instances optimize autoscaling groups move suitable workloads to lambda dynamodb for savings implement auto tag policies lease reminders and custom alarms days 71 80 community engagement attend meetups and conferences to network set up informational interviews with professionals participate in forums and discuss emerging technologies contribute to open source projects by fixing issues job search prep create profiles on linkedin angellist and other platforms refine resume customized for each application curate projects and experience for targeted roles mock interview to improve presentation skills days 81 100 portfolio enhancements identify skill gaps and create projects to address them highlight projects using tech stacks favored by target companies summarize contributions by their impact and measurable outcomes interview practice complete 50 leetcode questions focusing on patterns use interviewing io platform for live mock interviews review system design concepts like cap theorem ha and cdns job applications customize resume and cover letters for each application apply to 10 20 roles tailored to your expertise follow up and send thank you notes to nurture relationships | cloud |
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perfmap | perfmap front end performance heatmap a bookmarklet and chrome extension https chrome google com webstore detail perfmap hgpnhiajcdppfbogcpfdgcceepgkhdmk hl en gl gb to create a front end performance heatmap of resources loaded in the browser using the resource timing api a browser with support for the resource timing api http caniuse com feat resource timing is required bookmarklet just add the bookmarklet below to your bookmarks bar javascript javascript function var el document createelement script el src https zeman github io perfmap perfmap js document body appendchild el chrome extension or grab the chrome extension https chrome google com webstore detail perfmap hgpnhiajcdppfbogcpfdgcceepgkhdmk hl en gl gb wrapped by umar hansa https github com umaar usage wait for a page to fully load and then click the bookmarklet or extension icon to overlay a performance heatmap the heatmap colours and the first ms value indicate at what point in the page load the image finished loading it s a good indicator of user experience it took 3450ms before the user saw this image the second value in brackets is the time it took the browser to load that specific image the legend attached to the bottom of the page shows timings for the full page load and hovering over a coloured area on the heatmap will move the timeline indicator to show you when that image was fully loaded example example heatmap http zeman github io perfmap example jpg background conceived as part of a set of data visualization experiments http lab speedcurve com which re imagined the front end performance waterfall chart by mark zeman from speedcurve http speedcurve com presented at velocity new york 2014 http speedcurve com blog velocity a better waterfall chart works in chrome firefox can be enabled in firefox by putting about config in as a url and then setting dom enable resource timing to true to do deal with fixed position elements calling all front end ninjas send me your thoughts on how best to do this crawl iframe images hover state with more detail on the timings of an individual resource user timing pull out and highlight any elements with associated user timing events expand top nav to show full waterfall chart of all resources combine with andy s waterfall bookmarklet https github com andydavies waterfall change log 2014 10 06 first push of rough proof of concept 2014 10 07 added background image support 2014 10 08 added interactive legend with page level timing and timeline head on overlay hover 2014 10 12 ignore elements with visibility hidden check for viewport sized images and treat like a body image design tweaks 2014 10 17 rolled in umar s chrome extension thanks big thanks to steve souders http www stevesouders com who was inspired enough to whip up the intial code structure while simultaneously participating at webperfdays ny clever cookie | front_end |
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ECE387-midterm | ece387 midterm the midterm project for ece 387 embedded systems design | os |
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stupid_cv | tldr 1 line script for training an image classification model including data acquisition intro frameworks such as keras and fast ai allow easy training why not combine introducing stupid cv all technologists are automation enthusiasts and lets face it script kiddies and since according to eric schmidt computer vision is a solved https twitter com math rachel status 1188863155612471306 problem i ve decided to assemble a small script that will be kind of auto solver for computer vision how does it work open images v4 allows to easilly and programmitacly download many images according classes unlike imagenet there may be numerous objects in every image install to install clone this repo and install the requirements you d better have gpu on your machine usage first get the open images data frames dataset type is one of train validation test https storage googleapis com openimages 2018 04 dataset type dataset type annotations bbox csv dataset type train 1 1mb validation 16mb test 50mb train is very big classes specification can be loaded from here https storage googleapis com openimages 2018 04 class descriptions boxable csv list all classes python list classes py run all pipeline use it as follows 1 python main py data root some dir classes apple banana orange 2 wait for it 3 find the model in some dir models 4 profit arguments data root the folder where the images should will be downloaded to and the models will be saved open images data frames should be placed in this folder data type select the data type form open images as stated above classes select classes to download and train a model on from open images 600 classes cut image should the training script cut the relevant objects from the images config config model in config yaml todo upgrade to open images 5 x add list classes py check functionallity of cut images add detection and segmentation functionallity add efficient tracking add serving deploy credit for open image downloader https github com qfgaohao pytorch ssd | ai |
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Platform_Engineering | platform engineering internship program pentafox introduction hello everyone i am thrilled to introduce myself as a participant in the platform engineering internship program at pentafox my name is v k maniish raja and i am extremely excited to embark on this journey of learning and growth with such a dynamic and innovative organization i am currently pursuing my studies in b tech it at madras institute of technology mit chennai india as a passionate individual eager to explore the world of cloud computing and infrastructure management i find myself continuously drawn to the possibilities that modern technologies offer in transforming the way we build deploy and manage applications during this internship my primary focus will be on understanding cloud computing and gaining hands on experience with platforms like aws gcp or azure i am particularly enthusiastic about the prospect of working with cutting edge technologies and exploring how cloud services can enable scalable and efficient solutions for real world challenges in this repository i will be sharing my assignments projects and learnings related to cloud engineering and database connectivity using python each submission will reflect my commitment to producing high quality work and exploring innovative approaches to problem solving table of contents overview overview learning highlights learning highlights contact contact overview the platform engineering internship program has been a transformative experience for me from day one i immersed myself in the world of cloud computing learning about various cloud services infrastructure setup and best practices the hands on approach of this program has allowed me to put theory into practice making it an incredibly enriching journey learning highlights throughout the program i have achieved several learning milestones that have contributed to my professional growth understanding the fundamentals of cloud computing and its real world applications gaining proficiency in using aws gcp and azure cloud services for different use cases developing skills in infrastructure as code iac using tools like terraform and cloudformation exploring containerization with docker and orchestration with kubernetes acquiring knowledge about serverless architecture and its benefits learning best practices in cloud security and compliance contact if you have any questions feedback or would like to discuss my work further please feel free to reach out to me email memodemo001 gmail com mailto memodemo001 gmail com i am incredibly grateful for the opportunity to be part of the platform engineering internship program at pentafox this experience has not only strengthened my technical skills but also fostered a passion for cloud engineering and infrastructure management thank you for considering my work and i look forward to continued growth and contribution in this field | cloud-computing cloud-platforms version-control | cloud |
aloception-oss | p align center img src images aloception oss jpg style text align center width 50 alt logo aloception p a href https visual behavior github io aloception oss documentation a conventional commits https img shields io badge conventional 20commits 0 6 0beta green svg https conventionalcommits org aloception open source software aloception oss is a set of packages for computer vision built on top of popular deep learning libraries pytorch https pytorch org and pytorch lightning https www pytorchlightning ai aloscene aloscene extend the use of tensors https pytorch org tutorials beginner examples tensor two layer net tensor html with augmented tensors designed to facilitate the use of computer vision data such as frames 2d boxes 3d boxes optical flow disparity camera parameters python frame aloscene frame path to image jpg frame frame to cpu frame get view render alodataset alodataset implement ready to use datasets for computer vision with the help of aloscene and augmented tensors to make it easier to transform and display your vision data python coco dataset alodataset cocobasedataset sample true for frame in coco dataset stream loader frame get view render alonet alonet integrates several promising computer vision architectures you can use it for research purposes or to finetune and deploy your model using tensorrt alonet is mainly built on top of lightning https www pytorchlightning ai with the help of aloscene and alodataset training python init the training pipeline detr alonet detr litdetr init the data module coco loader alonet detr cocodetection2detr run the training using the two components detr run train data loader coco loader project detr expe name test experiment inference python load model model alonet detr detrr50 num classes 91 weights detr r50 eval open and normalized frame frame aloscene frame path to image jpg norm resnet run inference pred boxes model inference model frame add and display the predicted boxes frame append boxes2d pred boxes 0 pred boxes frame get view render note one can use aloscene independently than the two other packages to handle computer vision data or to improve its training pipelines with augmented tensors installation docker install docker build t aloception oss cuda 11 3 pytorch1 13 1 lightning1 9 3 docker run e local user id id u gpus all it v your workspace workspace privileged e display display v tmp x11 unix tmp x11 unix aloception oss cuda 11 3 pytorch1 13 1 lightning1 9 3 or without building the image docker run e local user id id u gpus all it v your workspace workspace privileged e display display v tmp x11 unix tmp x11 unix visualbehaviorofficial aloception oss cuda 11 3 pytorch1 13 1 lightning1 9 3 pip install you first need to install pytorch 1 10 1 based on your hardware and environment configuration please refer to the pytorch website https pytorch org get started locally for this installation once this is done you can run sh pip install git https github com visual behavior aloception oss br alternatively you can clone the repository and use sh pip install e aloception oss or setup the repo yourself in your env and install the dependencies sh pip install r requirements txt getting started ul li a href https visual behavior github io aloception oss getting started getting started html getting started a li li a href https visual behavior github io aloception oss getting started aloscene html aloscene computer vision with ease a li li a href https visual behavior github io aloception oss getting started alodataset html alodataset loading your vision datasets a li li a href https visual behavior github io aloception oss getting started alonet html alonet loading training your models a li li a href https visual behavior github io aloception oss getting started augmented tensor html about augmented tensors a li ul tutorials ul li a href https visual behavior github io aloception oss tutorials data setup html how to setup your data a li li a href https visual behavior github io aloception oss tutorials training detr html training detr a li li a href https visual behavior github io aloception oss tutorials finetuning detr html finetuning detr a li li a href https visual behavior github io aloception oss tutorials training panoptic html training panoptic head a li li a href https visual behavior github io aloception oss tutorials training deformable detr html training deformable detr a li li a href https visual behavior github io aloception oss tutorials finetuning deformable detr html finetuning deformanble detr a li li a href https visual behavior github io aloception oss tutorials tensort inference html exporting detr deformable detr to tensorrt a li ul alonet models model name link alonet location learn more detr r50 https arxiv org abs 2005 12872 alonet detr detrr50 a href detr detr a deformable detr https arxiv org abs 2010 04159 alonet deformable detr deformabledetr a href deformable detr deformable detr a raft https arxiv org abs 2003 12039 alonet raft raft a href raft raft a detr r50 panoptic https arxiv org abs 2005 12872 alonet detr panoptic panoptichead a href detr panoptic detrpanoptic a detr here is a simple example to get started with detr and aloception to learn more about detr you can checkout the a href tutorials tutorials a or the a href alonet detr detr readme a python load model model alonet detr detrr50 num classes 91 weights detr r50 eval open and normalized frame frame aloscene frame path to image jpg norm resnet run inference pred boxes model inference model frame add and display the predicted boxes frame append boxes2d pred boxes 0 pred boxes frame get view render deformable detr here is a simple example to get started with deformable detr and aloception to learn more about deformable you can checkout the a href tutorials tutorials a or the a href alonet deformable detr deformable detr readme a python loading deformable model model alonet deformable detr deformabledetrr50 num classes 91 weights deformable detr r50 eval open normalize frame and send frame on the device frame aloscene frame home thibault desktop yoga jpg norm resnet to torch device cuda run inference pred boxes model inference model frame add and display the predicted boxes frame append boxes2d pred boxes 0 pred boxes frame get view render raft here is a simple example to get started with raft and aloception to learn more about raft you can checkout the a href alonet raft raft readme a python use the left frame from the sintel flow dataset and normalize the frame for the raft model frame alodataset sintelflowdataset sample true getitem 0 left norm minmax sym load the model using the sintel weights raft alonet raft raft weights raft sintel compute optical flow padder alonet raft utils padder flow raft inference raft padder pad frame 0 1 padder pad frame 1 2 render the flow along with the first frame flow 0 get view render detr panoptic here is a simple example to get started with panoptichead and aloception to learn more about panoptichead you can checkout the a href alonet detr panoptic panoptic readme a python open and normalized frame frame aloscene frame path to image jpg norm resnet load the model using pre trained weights detr model alonet detr detrr50 num classes 250 background class 250 model alonet detr panoptic panoptichead detr module detr model weights detr r50 panoptic run inference pred boxes pred masks model inference model frame add and display the boxes masks predicted frame append boxes2d pred boxes 0 pred boxes frame append segmentation pred masks 0 pred masks frame get view render alodataset here is a list of all the datasets you can use on aloception if you re dataset is not in the list but is important for computer vision please let us know using the issues or feel free to contribute datasets dataset name alodataset location to try cocodetection alodataset cocobasedataset python alodataset coco base dataset py cocopanoptic alodataset cocopanopticdataset python alodataset coco panopic dataset py crowdhuman alodataset crowdhumandataset python alodataset crowd human dataset py waymo alodataset waymodataset python alodataset waymo dataset py chairssdhom alodataset chairssdhomdataset python alodataset chairssdhom dataset py flyingthings3dsubset alodataset flyingthings3dsubsetdataset python alodataset flyingthings3d subset dataset py flyingchairs2 alodataset flyingchairs2dataset python alodataset flying chairs2 dataset py sinteldisparitydataset alodataset sinteldisparitydataset python alodataset sintel disparity dataset py sintelflowdataset alodataset sintelflowdataset python alodataset sintel flow dataset py mot17 alodataset mot17 python alodataset mot17 py unit tests python m pytest licence shield cc by nc sa 4 0 cc by nc sa shield cc by nc sa this work is licensed under a creative commons attribution noncommercial sharealike 4 0 international license cc by nc sa cc by nc sa 4 0 cc by nc sa image cc by nc sa cc by nc sa http creativecommons org licenses by nc sa 4 0 cc by nc sa image https licensebuttons net l by nc sa 4 0 88x31 png cc by nc sa shield https img shields io badge license cc 20by nc sa 204 0 lightgrey svg | ai |
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phoenix-rtos-kernel | phoenix rtos kernel this repository contains the source for the phoenix rtos microkernel supported targets armv7m4 stm32l4x6 armv7m7 imxrt105x armv7m7 imxrt106x armv7m7 imxrt117x armv7a7 imx6ull armv7a9 zynq7000 ia32 generic riscv64 generic sparcv8leon3 gr716 building kernel to compile the kernel and build the operating system image phoenix rtos project https github com phoenix rtos phoenix rtos project repository should be used please read the instruction in this repository license this work is licensed under a bsd license see the license file for details | rtos kernel operating-system real-time realtime-operating-systems microkernel | os |
Cloud-Machine-Learning-Engineering-and-MLOps | cloud machine learning engineering and mlops cloud machine learning engineering and mlops | cloud |
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Blank-Bootstrap-Edition | bl4nk bootstrap edition http blank vc light powerful and free template for joomla for faster and easier web development install install it like a normal template in joomla backend then install node js http nodejs org this template will be built with gulp http gulpjs com if you haven t used gulp before you need to install gulp global npm install gulp cli g open a terminal and go to the template folder cd c xampp htdocs joomla templates frontend install node js dependencies npm install open gulpfile js and take a look at the serve function the url should be match with your local joomla installation e g http localhost blank run gulp for build and minify gulp the building files are stored in folder build in template directory and a zip package will be created one directory above the level of the template folders see gulpfile js to recognize automation working files index php js script js scss custom scss functions develop with bootstrap for responsive web design scalable and customizable vector icons customizable error offline and print page addons bootstrap http getbootstrap com font awesome https fortawesome github io font awesome tutorial there is a bootstrap tutorial https docs blank rocks bootstrap tutorial for beginners and new joomla developers update to keep your packages up to date install npm check updates https www npmjs org package npm check updates npm install g npm check updates identify out of date packages and update all the versions in your package json ncu u install the new versions of your packages based on the updated package json npm update licence the bl4nk template is opensource software released under the gpl http www gnu org licenses gpl 2 0 txt bl4nk take a look at bl4nk without bootstrap https github com bloggerschmidt blank and the full documentation https docs blank rocks of it | joomla php bootstrap | front_end |
RaspberryPi1-FreeRTOSv9.0.0 | raspberrypi1 freertosv9 0 0 freertos v9 0 0 port for raspberry pi 1 this port includes freertos v9 0 0 and the required modification to run on raspberry pi 1 bcm2835 library to interface most of the devices present in the bcm2835 chip i2c spi gpios this library was originally written for linux i adapted it to run in bare metal a driver to use the miniuart on gpio pins 14 and 15 credit to the following people james walmsley who made the original freertos v7 2 0 https github com jameswalmsley raspberrypi freertos david welch who wrote a lot of bare metal related stuff https github com dwelch67 raspberrypi mike mccauley who wrote the bcm2835 library for linux http www airspayce com mikem bcm2835 requires arm none eabi toolchain https developer arm com open source gnu toolchain gnu rm downloads edit file freertos demo arm6 bcm2835 makefilerpi1 cfg to change toolchainroot to the root of the toolchain todo list finish cleaning up bcm2835 lib finish and test mini uart driver use system timer for freertos scheduling instead of arm timer how to compile using docker create the image mount the project directory to the container run the container and connect to its console navigate to the path specified when mounting the project directory freertos demo arm6 bcm2835 run make command output should be in the out directory in freertos demo arm6 bcm2835 | freertos raspberry-pi raspberrypi bare-metal baremetal bcm2835 | os |
stupidQA | stupidqa wiki common sense 3 br br https www dropbox com s p0fub82bu4a1u06 invertedindex json dl 0 | server |
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webdev | webdev web development course this is the source code and training content for the web development course taught by peter j jones pjones the official site for this course is https github com devalot webdev prerequisites this collection of exercises and demos needs node js 8 installed to work correctly starting things up 1 look in the start scripts folder for a file matching your operating system macos double click the macos command file windows double click the windows cmd file linux bsd open a term and use linux sh 2 open the following url in your browser of choice http localhost 3000 building the course content pdf files 1 install the nix package manager https nixos org nix 2 0 is required 2 run the following command nix build the generated pdf files will be in the result directory pjones http www devalot com about pjones html node js https nodejs org | css javascript html training-materials tutorials | front_end |
hellowebapp | hello web app intro to web app development using python and django this is the github repository for hello web app http hellowebbook com learn django s files hello web app is a book series dedicated to teaching beginner web app development written by a designer it focuses on teaching the websites and templates first slowly adding programming concepts over time perfect for anyone who is new to programming or has a background in web design see hellowebbooks com http hellowebbooks com for how to order starts at 14 95 for ebook files a blog with additional tutorials and more information contents starting your project how to install python https github com hellowebbooks hellowebapp tree master installation instructions installing virtualenv https github com hellowebbooks hellowebapp blob master installation instructions virtualenv installation md starting your django project https github com hellowebbooks hellowebapp blob master installation instructions starting your project md learning python you should have very basic python and logic knowledge before jumping into hello web app python tips and resources https github com hellowebbooks hellowebapp tree master python tips walk through the code in hello web app s chapters here intermediate concepts coming soon hello web app code https github com hellowebbooks hellowebapp code miscellaneous help discussion forum http discuss hellowebapp com command line tips https github com limedaring hellowebapp tree master command line tips using git https github com limedaring hellowebapp tree master git tips irc tips https github com limedaring hellowebapp tree master irc tips windows help https github com limedaring hellowebapp tree master windows help after the book additional resources https github com limedaring hellowebapp tree master additional resources background on hello web app in january 2011 i taught myself python and django and launched my first web app in six weeks http www limedaring com im a designer who learned django and launched her first webapp in 6 weeks three years later this web app has evolved into my startup weddinglovely http weddinglovely com a part of 500 startups http 500 co and the designer fund http designerfund com i ve designed and built the entire company and love web app development learning to code was so frustrating especially as a right brained designer with no back end programming experience tutorials assumed i was comfortable with the command line knew what a model view template architecture was and already had a grasp on programming tools and resources i want to build a introduction to web app programming using django and python which assumes absolutely no programming knowledge down to earth explanations of programming terms and basic walkthroughs of using important programming utilities like git for version control github for backups virtualenv for virtual environments and others i also wanted to emphasize templates first getting to the visual web app view first to see results rather than using the command line hello web app http hellowebbooks com learn django launched in may 2015 after a successful kickstarter campaign the book walks readers through creating a basic web app from ideation to deployment hello web app intermediate concepts http hellowebbooks com django intermediate concepts launched december 2015 after another successful kickstarter campaign thanks again hwa ic is for anyone who has a basic web app and would like to build more advanced features like adding payments with stripe user uploaded images an api and more follow and ask me questions on twitter limedaring http twitter com limedaring or on the hello web app discussion forums http discuss hellowebapp com or follow the project directly at hellowebapp com http hellowebapp com license the information in this repository is licensed under the terms of the mit license this does not apply to the information in the hello web app books which are copyrighted | front_end |
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outreach-app | openhmis outreach mobile web app outreach application for use by us dept of housing and urban development homeless management information systems this mobile web application is still in the design phase please see the design document doc outreach app design docx for more information | front_end |
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mws-restaurant-stage-2 | local development api server usage get restaurants curl http localhost 1337 restaurants get restaurants by id curl http localhost 1337 restaurants 3 architecture local server node js sails js contributors brandy lee camacho technical project manager mailto brandy camacho udacity com david harris web services lead mailto david harris udacity com omar albeik frontend engineer mailto omaralbeik gmail com getting started development local api server location of server server server depends on node js lts version v6 11 2 https nodejs org en download npm https www npmjs com get npm and sails js http sailsjs com please make sure you have these installed before proceeding forward great you are ready to proceed forward awesome let s start with running commands in your terminal known as command line interface cli install project dependancies install project dependancies npm i install sails js globally install sails global npm i sails g start the server start server node server you should now have access to your api server environment debug environment development debug port 1337 if you find a bug in the source code or a mistake in the documentation you can help us by submitting an issue to our waffle dashboard https waffle io udacity mwnd issues even better you can submit a pull request with a fix archival note this repository is deprecated therefore we are going to archive it however learners will be able to fork it to their personal github account but cannot submit prs to this repository if you have any issues or suggestions to make feel free to utilize the https knowledge udacity com forum to seek help on content specific issues submit a support ticket along with the link to your forked repository if learners are blocked for other reasons here are the links for the retail consumers https udacity zendesk com hc en us requests new and enterprise learners https udacityenterprise zendesk com hc en us requests new ticket form id 360000279131 | front_end |
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Orbit | p align center a href https github com s0md3v orbit img src https i ibb co bxszhw0 orbit png alt orbit a br b b p h4 align center blockchain transactions investigation tool h4 p align center a href https github com s0md3v orbit releases img src https img shields io github release s0md3v orbit svg a a href https github com s0md3v orbit issues q is 3aissue is 3aclosed img src https img shields io github issues closed raw s0md3v orbit svg img src https img shields io badge python 3 2 blue svg a p graph demo https i ibb co rx76ryt screenshot 2019 07 26 03 41 34 png introduction orbit is designed to explore network of a blockchain wallet by recursively crawling through transaction history the data is rendered as a graph to reveal major sources sinks and suspicious connections note orbit only runs on python 3 2 and above usage let s start by crawling transaction history of a wallet python3 orbit py s 1ajbsfz64epefs5uajafcug8ph8jn3rn1f crawling multiple wallets is no different python3 orbit py s 1ajbsfz64epefs5uajafcug8ph8jn3rn1f 1etbbshpvbydw7hgwxxkxz3pxvh3vfomax orbit fetches last 50 transactions from each wallet by default but it can be tuned with l option python3 orbit py s 1ajbsfz64epefs5uajafcug8ph8jn3rn1f l 100 orbit s default crawling depth is 3 i e it fetches the history of target wallet s crawls the newly found wallets and then crawls the wallets in the result again the crawling depth can be increased or decresead with d option python3 orbit py s 1ajbsfz64epefs5uajafcug8ph8jn3rn1f d 2 wallets that have made just a couple of interactions with our target may not be important orbit can be told to crawl top n wallets at each level by using the t option python3 orbit py s 1ajbsfz64epefs5uajafcug8ph8jn3rn1f t 20 if you want to view the collected data with a graph viewer of your choice you can use o option python3 orbit py s 1ajbsfz64epefs5uajafcug8ph8jn3rn1f o output graphml support formats graphml supported by most graph viewers json for raw processing this is your terminal dashboard demo terminal https i ibb co pzg24vt screenshot 2019 07 26 08 07 10 png visualization once the scan is complete the graph will automatically open in your default browser if it doesn t open open quark html manually don t worry if your graph looks messy like the one below or worse graph setup https i ibb co xj38df9 screenshot 2019 07 26 08 21 18 png select the make clusters option to form clusters using community detection algorithm after that you can use color clusters to give different colors to each community and then use spacify option to fix overlapping nodes edges graph fixed https i ibb co ssghkjn screenshot 2019 07 26 09 21 08 png the thickness of edges depends on the frequency of transactions between two wallets while the size of a node depends on both transaction frequency and the number of connections of the node as orbit uses quark https github com s0md3v quark to render the graph more information about the various features and controls is available in quark s readme | blockchain bitcoin osint | blockchain |
Banco-de-Dados-PUC-Campinas-2017 | banco de dados puc campinas 2017 repository containing some materials used in the database labs in computer engineering bachelor | server |
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cess | cess https raw githubusercontent com cumulus2021 w3f illustration main banner5 png substrate version https img shields io badge substrate 3 0 0 blue logo parity 20substrate https substrate dev github license https img shields io badge license gpl3 2fapache2 blue license build and test https github com cessproject cess actions workflows build and test yml badge svg https github com cessproject cess actions workflows build and test yml a href https web3 foundation img width 205 alt web3f grants badge png src https github com heyworld88 gitskills blob main web3f grants badge png a nbsp nbsp nbsp nbsp nbsp a href https builders parity io img width 240 src https github com cessproject cess assets 15166250 76b74c48 a411 4ffa b37c d2bc27e526bf a cess cloud http cess cloud is to provide the capabilities of a new global decentralized cloud data storage network by building with the infrastructure of decentralized cloud data network of the substrate https substrate dev while maintaining the data security and reliability guarantees inherent to blockchain technology learn more at white paper https github com cessproject whitepaper getting started install guide follow setup docs setup md to guide you install the cess development build node the cargo run command will perform an initial build use the following commands to build the node without launching it fetch the code git clone https github com cessproject cess git cd cess build the node the first build will be long 30min cargo build release run the cess node after the node has finished compiling you can follow these steps below to run it generate keys if you already have keys for substrate using the ss58 address encoding format https docs substrate io v3 advanced ss58 please see the next section begin by compiling and installing the utility instructions and more info here https substrate dev docs en knowledgebase integrate subkey generate a mnemonic secret phrase and see the sr25519 key and address associated with it subkey command subkey generate scheme sr25519 now see the ed25519 key and address associated with the same mnemonic secret phrase subkey command subkey inspect scheme ed25519 secret phrase you just generated we recommend that you record the above outputs and keep mnemonic in safe run testnet launch node on the cess testnet with start target release cess node base path tmp cess chain cess testnet then you can add an account with create key file vim secretkey txt add secret phrase for the node in the file your account s secret phrase add key to node target release cess node key insert base path tmp cess chain cess testnet scheme sr25519 key type babe suri root secretkey txt target release cess node key insert base path tmp cess chain cess testnet scheme ed25519 key type gran suri root secretkey txt now you can launch node again start target release cess node base path tmp cess chain cess testnet storage mining cess supports to obtain incentives by contributing idle storage with storage mining tool https github com cessproject storage mining tool and click here https github com cessproject cess tree main docs designs of storage mining md to learn more run tests cess has rust unit tests and can be run locally run all the rust unit tests cargo test release module documentation files bank c pallets file bank audit c pallets audit sminer c pallets sminer tee worker c pallets tee worker contribute please follow the contributions guidelines as outlined in docs contributing adoc docs contributing adoc in all communications and contributions this project follows the contributor covenant code of conduct docs code of conduct md cess bootstrap please download the code of the current latest release cd cess under the cess root directory cargo build release go to the cess target release directory to obtain the cess node file | rust substrate blockchain | blockchain |
LLMZoo | llm zoo democratizing chatgpt div align center img src assets zoo png width 640 alt zoo align center div llm zoo is a project that provides data models and evaluation benchmark for large language models tech report assets llmzoo pdf latest news 07 12 2023 more instruction following data of different languages is available here https github com freedomintelligence multilingualsift 05 05 2023 release the training code now you can replicate a multilingual instruction following llm by yourself 04 24 2023 add more results e g moss in the evaluation benchmark 04 08 2023 release the phoenix for all languages and chimera for latin languages models motivation break ai supremacy and democratize chatgpt ai supremacy is understood as a company s absolute leadership and monopoly position in an ai field which may even include exclusive capabilities beyond general artificial intelligence this is unacceptable for ai community and may even lead to individual influence on the direction of the human future thus bringing various hazards to human society make chatgpt like llm accessible across countries and languages make ai open again every person regardless of their skin color or place of birth should have equal access to the technology gifted by the creator for example many pioneers have made great efforts to spread the use of light bulbs and vaccines to developing countries similarly chatgpt one of the greatest technological advancements in modern history should also be made available to all get started install run the following command to install the required packages angular2html pip install r requirements txt cli inference bash python m llmzoo deploy cli model path path to weights for example for phoenix run bash python m llmzoo deploy cli model path freedomintelligence phoenix inst chat 7b and it will download the model from hugging face automatically for chimera please follow this instruction https github com freedomintelligence llmzoo chimera llm mainly for latin and cyrillic languages to prepare the weights check here deployment for deploying a web application data overview we used the following two types of data for training phoenix and chimera details summary b instruction data b summary multilingual instructions language agnostic instructions with post translation diff self instructed translated instruction input in language a step 1 translation instruction input in language b b is randomly sampled w r t the probability distribution of realistic languages step 2 generate output in language b user centered instructions diff role instruction input seeds step 1 self instruct role instruction input samples step 2 generate output instruct role instruction input output details details summary b conversation data b summary user shared conversations diff chatgpt conversations shared on the internet step 1 crawl multi round conversation data details check instructionzoo https github com freedomintelligence instructionzoo for the collection of instruction datasets check gpt api accelerate tool https github com freedomintelligence gpt api accelerate for faster data generation using chatgpt download phoenix sft data v1 https huggingface co datasets freedomintelligence phoenix sft data v1 the data used for training phoenix and chimera models overview of existing models model backbone params open source model open source data claimed language post training instruction post training conversation release date chatgpt multi 11 30 22 wenxin zh 03 16 23 chatglm glm 6b en zh 03 16 23 alpaca llama 7b en 52k en 03 13 23 dolly gpt j 6b en 52k en 03 24 23 belle bloomz 7b zh 1 5m zh 03 26 23 guanaco llama 7b en zh ja de 534k multi 03 26 23 chinese llama alpaca llama 7 13b en zh 2m 3m en zh 03 28 23 luotuo llama 7b zh 52k zh 03 31 23 vicuna llama 7 13b en 70k multi 03 13 23 koala llama 13b en 355k en 117k en 04 03 23 baize llama 7 13 30b en 52k en 111 5k en 04 04 23 phoenix ours bloomz 7b multi 40 40 04 08 23 latin phoenix chimera ours llama 7 13b multi latin latin latin 04 08 23 details summary b the key difference between existing models and ours b summary the key difference in our models is that we utilize two sets of data namely instructions and conversations which were previously only used by alpaca and vicuna respectively we believe that incorporating both types of data is essential for a recipe to achieve a proficient language model the rationale is that the instruction data helps to tame language models to adhere to human instructions and fulfill their information requirements while the conversation data facilitates the development of conversational skills in the model together these two types of data complement each other to create a more well rounded language model details phoenix llm across languages details summary b the philosophy to name b summary the first model is named phoenix in chinese culture the phoenix is commonly regarded as a symbol of the king of birds as the saying goes indicating its ability to coordinate with all birds even if they speak different languages we refer to phoenix as the one capable of understanding and speaking hundreds of bird languages more importantly phoenix is the totem of the chinese university of hong kong shenzhen cuhksz it goes without saying this is also for the chinese university of hong kong cuhk details model backbone data link phoenix chat 7b bloomz 7b1 mt conversation parameters https huggingface co freedomintelligence phoenix chat 7b phoenix inst chat 7b bloomz 7b1 mt instruction conversation parameters https huggingface co freedomintelligence phoenix inst chat 7b phoenix inst chat 7b int4 bloomz 7b1 mt instruction conversation parameters https huggingface co freedomintelligence phoenix inst chat 7b int4 chimera llm mainly for latin and cyrillic languages details summary b the philosophy to name b summary the philosophy to name the biggest barrier to llm is that we do not have enough candidate names for llms as llama guanaco vicuna and alpaca have already been used and there are no more members in the camel family therefore we find a similar hybrid creature in greek mythology chimera https en wikipedia org wiki chimera mythology composed of different lycia and asia minor animal parts coincidentally it is a hero role in dota and also warcraft iii it could therefore be used to memorize a period of playing games overnight during high school and undergraduate time details model backbone data link chimera chat 7b llama 7b conversation parameters delta https huggingface co freedomintelligence chimera chat 7b delta chimera chat 13b llama 13b conversation parameters delta https huggingface co freedomintelligence chimera chat 13b delta chimera inst chat 7b llama 7b instruction conversation parameters delta https huggingface co freedomintelligence chimera inst chat 7b delta chimera inst chat 13b llama 13b instruction conversation parameters delta https huggingface co freedomintelligence chimera inst chat 13b delta due to llama s license restrictions we follow fastchat https github com lm sys fastchat to release our delta weights to use chimera download the original llama weights https huggingface co docs transformers main model doc llama and run the script bash python tools apply delta py base path to llama 13b target output path to chimera inst chat 13b delta freedomintelligence chimera inst chat 13b delta camel chinese and medically enhanced langauge models details summary b the philosophy to name b summary the philosophy to name its chinese name is huatuogpt https github com freedomintelligence huatuogpt or gpt to commemorate the great chinese physician named hua tuo who lived around 200 ac training is already finished we will release it in two weeks some efforts are needed to deploy it in public cloud servers in case of massive requests details check our models in huatuogpt https github com freedomintelligence huatuogpt or try our demo https www huatuogpt cn similar biomedical models could be seen in biomedical llms assets biomedical models md details summary b more models in the future b summary legal gpt coming soon vision language models coming soon retrieval augmented models coming soon details evaluation and benchmark we provide a bilingual multidimensional comparison across different open source models with ours chinese automatic evaluation using gpt 4 model ratio phoenix inst chat 7b vs chatgpt 85 2 phoenix inst chat 7b vs chatglm 6b 94 6 phoenix inst chat 7b vs baidu wenxin 96 8 phoenix inst chat 7b vs moss moon 003 sft 109 7 phoenix inst chat 7b vs belle 7b 2m 122 7 phoenix inst chat 7b vs chinese alpaca 7b 135 3 phoenix inst chat 7b vs chinese alpaca 13b 125 2 observation it shows that phoenix chat 7b achieves 85 2 performance of chatgpt in chinese it slightly underperforms baidu wenxin 96 8 and chatglm 6b 94 6 both are not fully open source chatglm 6b only provides model weights without training data and details although phoenix is a multilingual llm it achieves sota performance among all open source chinese llms human evaluation win tie lose phoenix vs chatgpt 12 35 53 phoenix vs chatglm 6b 36 11 53 phoenix vs baidu wenxin 29 25 46 phoenix vs belle 7b 2m 55 31 14 phoenix vs chinese alpaca 13b 56 31 13 observation it shows that the human evaluation results show the same trend as the automatic evaluation results english automatic evaluation using gpt 4 model ratio chimera chat 7b vs chatgpt 85 2 chimera chat 13b vs chatgpt 92 6 chimera inst chat 13b vs chatgpt 96 6 quantization we offer int8 and int4 quantizations which will largely reduce the gpu memory consumption e g from 28gb to 7gb for phoenix int8 you can directly obatin int8 version of phoenix by passing load 8bit when using cli inference e g bash python m llmzoo deploy cli model path freedomintelligence phoenix inst chat 7b load 8bit int4 for int4 version we take advantage of gptq you can directly obatin int4 version of phoenix by passing int4 version model and load 4bit when using cli inference this would require package autogptq be installed e g bash python m llmzoo deploy cli model path freedomintelligence phoenix inst chat 7b int4 load 4bit we use autogptq https github com panqiwei autogptq to support phoenix via bash build cuda ext 0 pip install auto gptq triton for chimera we can not share the int4 version parameters due to restrictions and you can follow the example in our patched autogptq https github com genezc autogptq triton tree main examples to conduct quantization by yourselves thank yhyu13 https github com yhyu13 please check the merged weight and gptq quantized weight for chimera in chimera inst chat 13b hf https huggingface co yhyu13 and chimera inst chat 13b gptq 4bit https huggingface co yhyu13 chimera inst chat 13b gptq 4bit inference in pure c c you can refer to this link https github com wtxfrancise quantize models to run chimera or phoenix on your pc deployment launch a controller shell python m llmzoo deploy webapp controller launch a model worker shell python m llmzoo deploy webapp model worker model path path to weights launch a gradio web server shell python m llmzoo deploy webapp gradio web server now you can open your browser and chat with a model training by yourself prepare the data you can either download the phoenix sft data v1 https huggingface co datasets freedomintelligence phoenix sft data v1 data or prepare your own data put your data on the path data data json training for phoenix run shell bash scripts train phoenix 7b sh for chimera prepare the llama weights following this instruction https huggingface co docs transformers main model doc llama and run shell bash scripts train chimera 7b sh bash scripts train chimera 13b sh limitations our goal in releasing our models is to assist our community in better replicating chatgpt gpt4 we are not targeting competition with other competitors as benchmarking models is a challenging task our models face similar models to those of chatgpt gpt4 which include lack of common sense our models may not always have the ability to apply common sense knowledge to situations which can lead to nonsensical or inappropriate responses limited knowledge domain our models knowledge is based on the data it was trained on and it may not have the ability to provide accurate or relevant responses outside that domain biases our models may have biases that reflect the biases in the data it was trained on which can result in unintended consequences or unfair treatment inability to understand emotions while our models can understand language it may not always be able to understand the emotional tone behind it which can lead to inappropriate or insensitive responses misunderstandings due to context our models may misunderstand the context of a conversation leading to misinterpretation and incorrect responses contributors llm zoo is mainly contributed by data and model zhihong chen https zhjohnchan github io junying chen hongbo zhang feng jiang https fjiangai github io chen zhang https genezc github io benyou wang https wabyking github io old html advisor evaluation fei yu https github com oakyu tiannan wang guiming chen others zhiyi zhang jianquan li and xiang wan as an open source project we are open to contributions feel free to contribute if you have any ideas or find any issue acknowledgement we are aware that our works are inspired by the following works including but not limited to llama https github com facebookresearch llama bloom https huggingface co bigscience bloom self instruct https github com yizhongw self instruct alpaca https github com tatsu lab stanford alpaca vicuna https github com lm sys fastchat without these nothing could happen in this repository citation angular2 article phoenix 2023 title phoenix democratizing chatgpt across languages author zhihong chen and feng jiang and junying chen and tiannan wang and fei yu and guiming chen and hongbo zhang and juhao liang and chen zhang and zhiyi zhang and jianquan li and xiang wan and benyou wang and haizhou li journal arxiv preprint arxiv 2304 10453 year 2023 angular2 misc llm zoo 2023 title llm zoo democratizing chatgpt author zhihong chen and junying chen and hongbo zhang and feng jiang and guiming chen and fei yu and tiannan wang and juhao liang and chen zhang and zhiyi zhang and jianquan li and xiang wan and haizhou li and benyou wang year 2023 publisher github journal github repository howpublished url https github com freedomintelligence llmzoo we are from the school of data science the chinese university of hong kong shenzhen cuhksz and the shenzhen rsearch institute of big data sribd star history star history chart https api star history com svg repos freedomintelligence llmzoo type date https star history com freedomintelligence llmzoo date | ai |
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teaching_set08114 | teaching set08114 this repository contains most of the materials for the edinburgh napier university mobile applications development module set08114 try the module website http siwells github io teaching set08114 for a nice hyperlinked index to everything if you notice a typo or issue then feel free to either fork fix and issue a pull request if you are confident about fixing it yourself or else create an issue describing the problem | front_end |
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Build-Mobile-Apps-Ionic4-Firebase | apress source code this repository accompanies build mobile apps with ionic 4 and firebase hybrid mobile app development https www apress com 9781484237748 by fu cheng apress 2018 comment cover cover image 9781484237748 jpg download the files as a zip using the green button or clone the repository to your machine using git releases release v1 0 corresponds to the code in the published book without corrections or updates contributions see the file contributing md for more information on how you can contribute to this repository change log 2019 01 30 update to ionic 4 0 0 and angular 7 2 2 2018 11 27 update to ionic 4 0 0 beta 16 and angular 7 1 0 fix one unit test fix e2e test of login page output of ng version angular cli 7 2 3 node 8 12 0 os darwin x64 angular 7 2 2 animations common compiler compiler cli core forms http language service platform browser platform browser dynamic router package version angular devkit architect 0 12 3 angular devkit build angular 0 12 3 angular devkit build optimizer 0 12 3 angular devkit build webpack 0 12 3 angular devkit core 7 2 3 angular devkit schematics 7 2 3 angular cli 7 2 3 angular fire 5 1 1 ngtools webpack 7 2 3 schematics angular 7 2 3 schematics update 0 12 3 rxjs 6 3 3 typescript 3 2 4 webpack 4 28 4 | front_end |
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design-system | nulogy components npm scoped https img shields io npm v nulogy components svg style flat square build https img shields io github workflow status nulogy design system release style flat square prs welcome https img shields io badge prs welcome brightgreen svg style flat square https github com nulogy design system blob master contributing md built with react components make it easy to create interfaces that conform to the principles of the nulogy design system installation 1 add the package peer dependencies nulogy components relies on react reactdom and styled components you will need to add these to your projects dependencies if they are not there already to add styled components yarn add styled components 5 0 0 please check that you are using versions that match the peerdependencies listed in the components package json 2 add fonts add ibm plex sans https fonts google com specimen ibm plex sans 300 400 500 600 and ibm plex mono https fonts google com specimen ibm plex sans to your application however you prefer to load assets an example using google fonts is shown below html link href https fonts googleapis com css family ibm plex sans 300 400 500 600 rel stylesheet link href https fonts googleapis com css family ibm plex mono rel stylesheet if your application supports simplified chinese you ll also need to load noto sans sc https fonts google com specimen noto sans sc html link href https fonts googleapis com css2 family noto sans sc wght 300 400 500 display swap rel stylesheet note that loading fonts from google api is just an example and not the most performant way to load fonts for your application you ll most likely want to include the font s inside your existing asset pipeline 2 wrap your application in our theme provider wrap your application in the ndsprovider component to access nulogy s theme values and add typographic defaults js import react from react import ndsprovider from nulogy components class app extends react component render return ndsprovider your application ndsprovider 3 import desired components js import button from nulogy components const someview button click me button usage see nulogy design http nulogy design for instructions on how best to use each component see the storybook https master 5f60c6c285eaad0022dce67f chromatic com for usage examples localization a locale prop can be passed to ndsprovider to change the language of aria labels and strings inside our components see the localization guide https nulogy design guides localization for the full list of supported languages and their codes testing components see the testing guide https nulogy design guides testing for information on how to test nds components inside of your application ui kit designers can use nds in sketch by downloading the ui kit https share goabstract com 73221fd2 6626 43c8 b95c e4bec74741ab see the designers getting started guide https nulogy design guides designers for more details documentation component documentation and usage guides are stored in the github com nulogy nulogy design https github com nulogy nulogy design repository work requests if you encounter a bug need a new component or new capability of an existing component or need any other type of support please file a work request in github issues https github com nulogy design system issues to learn more about how to file a request and what to expect please read how to file nds work request https github com nulogy design system wiki how to file nds work request design system slack channel team t024n2kka id cbafq4x7x contributing please see contributing md https github com nulogy design system blob master contributing md if you work at nulogy and would like to contribute questions design system slack channel team t024n2kka id cbafq4x7x related packages the design system is a collection of related packages if you re looking for more packages see below package description nulogy css https github com nulogy nds css css components and utility classes for adding new styles to non react applications css on npm https img shields io npm v nulogy css style flat square https www npmjs com package nulogy css nulogy icons https github com nulogy nds icons a selection of material icon svgs used by nulogy applications icons on npm https img shields io npm v nulogy icons style flat square https www npmjs com package nulogy icons nulogy tokens https github com nulogy nds tokens design language styles e g colours type spacing shadows etc tokens on npm https img shields io npm v nulogy tokens style flat square https www npmjs com package nulogy tokens | design-system react javascript css styleguide tokens styled-components | os |
FEWD-2015-Winter | fewd 2015 winter | front_end |
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desireworks-restapi-monolithic | desireworks restapi monolithic app what is it this is a rest api built as a monolithic app using nodejs and typescript purpose the purpose of the app is for me the author to practice building a simple backend based on the express server features the app features a postgresql database backend the express server for routing a simple authentication and authorization system ability to upload images directly to an aws s3 bucket using presigned urls how to run locally 1 clone the repository 2 create the environment variables defined in the src config config ts file 3 run npm run dev licence mit | server |
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Protein-Engineering | protein engineering querying protein structural databases for finding suitable portein building blocks for engineering protein structures | server |
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ibm-container-service | develop in a cloud sandbox ibm blockchain platform follow the instructions on ibm blockchain github io https ibm blockchain github io to launch a basic ibm blockchain network on the ibm container service s free plan at the end of the install you will be able to obtain a public url to access your instance of composer playground the ui for creating and deploying business networks to fabric there is a single script install available as well as full documentation on individual commands for custom installations you will need to clone this repository to get the relevant bash scripts and yaml files privacy notice for serviceability needs regarding the number of network activity ibm has added a mechanism in the ordering service to collect a pulse from the networks the uuid of a network is collected periodically and sent to a monitoring service there is no blockchain or transaction information or data gathered or accessed the only purpose is to provide information on activity passing through the ordering service the uuid is generated by the network randomly when the orderer comes up and is not attached to any further network information the uuid is re generated and old uuid lost whenever the ordering service is restarted | blockchain |
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DL-NLP-Readings | my reading lists of machine learning natural language processing and etc table of contents 1 natural language processing 1 language modeling and analysis readme nlp language modeling md 2 char word embeddings sentence representation and natural language understanding readme nlp emb sent nlu md 3 machine translation and language transfer generation summarization and dialogue readme nlp machine translation md 4 machine comprehension and question answering readme nlp machine comprehension md 5 sequence labeling and information retrieval pos ner srl re ie ir parsing el coref discourse etc readme nlp sequence labeling md 6 sentiment analysis and text classification readme nlp classification md 7 interpretability and disambiguation readme nlp interpretability md 8 other nlp research works readme nlp others md 2 computer vision 1 visual representation learning readme cv vision pretraining md 2 image processing classification and recognition readme cv processing classification md 3 object detection and semantic segmentation readme cv detection segmentation md 4 action recognition readme cv action recog md 5 other computer vision research works readme cv others md 3 vision and language 1 survey and others readme grounding others md 2 image based vision and language 1 image based vision and language modelling and multi task learning readme grounding image vision language md 2 image retrieval captioning and edit readme grounding image retrieval captioning md 3 image based vqa reasoning and dialogue readme grounding image vqa dialogue md 3 video based vision and language 1 video based vision and language modelling readme grounding video vision language md 2 video retrieval and captioning readme grounding video video retrieval captioning md 3 video grounding or localization readme grounding video video grounding md 4 video question answering reasoning and dialogue readme grounding video vqa dialogue md 5 other video based vision and language tasks readme grounding video others md 4 general representation learning readme general rep learning md 5 parameter efficient learning and continual learning readme param efficient continual md 6 graph kb and social network learning readme graphs md 7 capsule network and its applications readme capsule md 8 adversarial training attacks defense and robustness readme at attack defense robustness md 9 zero few shot learning and meta learning readme meta md 10 domain adaptation generalization ood and debiasing readme domain adapt ood bias md 11 causal learning and invariant risk minimization readme causal irm md 12 knowledge distillation and data imputation readme distill imputation md 13 label noise and anomaly detection readme label noise anomaly md 14 generative adversarial network autoencoder and normalizing flow readme gan ae nf md 15 recommendation system readme recommend md 16 reinforcement learning and robotic systems readme rl and robotics md 17 other research works readme others md 18 mathematics machine learning deep learning reinforcement learning and coding resources readme resources md | paper source-code-link deep-learning natural-language-processing reinforcement-learning commonsense language-model robotics machine-learning bibtex-references vision-and-language | ai |
5160-exp3 | 5160 exp3 embedded processor system design | os |
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ServiSegur-Bottle | servisegur database system data engineering project the servisegur bottle is a service application that uses a sqlite database to store information this application is an implementation and programming project for the course of data engineering it serves as the database system for the company servisegur installation 1 clone this repository to your local machine using the following command git clone https github com coconath0 servisegur bottle git 2 navigate to the project directory cd servisegur bottle 3 install the required dependencies using pip pip install r requirements txt database configuration the project uses a sqlite database to store information to configure the database connection follow the steps below 1 ensure you have sqlite installed on your system 2 open the database py file and look for the following lines of code python import os from sqlalchemy import create engine from sqlalchemy ext declarative import declarative base from sqlalchemy orm import sessionmaker database connection using sqlite in db appservi db engine create engine sqlite db appservi db session db sessionmaker session db configure bind engine 3 if you want to change the location or name of the database modify the connection string sqlite db appservi db according to your preferences usage prerequisites ensure you have python and the required dependencies installed you can install the dependencies using the requirements txt file included in the repository bash pip install r requirements txt running the application to run the application simply execute the main py file bash python main py the application will run at http localhost 8000 and you can access it from your web browser if you get an error from sqlalchemy then use the command below pip install upgrade sqlalchemy application routes the application uses routes to manage different parts of the functionality below are the available routes home page displays a simple homepage asistencia route to manage attendance provided by asistencia routes sede route to manage headquarters provided by sede routes horario route to manage schedules provided by horario routes vigilante route to manage security guards provided by vigilante routes static files the application serves static files css js images to enhance the user experience these files are located in the following paths static css filename css files static js filename javascript files static img filename image files make sure to keep the static files in the appropriate folder within your project structure license this project is licensed under the mit license see the license file for more details | server |
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