Spaces:
Running
Running
Sébastien De Greef
feat: Add platforms.qmd file with a comprehensive list of online AI platforms, dataset providers, model zoos, and related resources
ee2ab6d
| Here's an exhaustive list of state-of-the-art (SOTA) tools and libraries in the field of artificial intelligence, categorized: | |
| These are all libraries and tools I use almost on daily base depending on the problem or task, there are loads of alternatives but this is my own selection. | |
| # Agent Builders | |
| * **CrewAI** (CrewAI): The most advanced opensource Agents builder framework | |
| * **Autogen** (Microsoft): An agent builder framework with a UI | |
| # Deep Learning | |
| * **TensorFlow** (Google): An open-source machine learning framework | |
| * **PyTorch** (Facebook): An open-source machine learning framework | |
| * **Keras** (Google): A high-level neural networks API | |
| * **CNTK** (Microsoft): A deep learning framework | |
| # Natural Language Processing (NLP)** | |
| * **NLTK** (Stanford University): A comprehensive NLP library | |
| * **spaCy** (Explosion AI): A modern NLP library | |
| * **Stanford CoreNLP** (Stanford University): A Java library for NLP | |
| * **Transformers** (Hugging Face): A library for natural language understanding and generation | |
| # Computer Vision** | |
| * **OpenCV** (OpenCV.org): A computer vision library | |
| * **Pillow** (Python Imaging Library): A Python imaging library | |
| * **scikit-image** (Scikit-learn): A library for image processing | |
| * **TensorFlow Computer Vision** (Google): A computer vision library | |
| * **PyTorch Vision** (Facebook): A computer vision library | |
| * **Keras Applications** (Google): A collection of pre-built computer vision models | |
| # Reinforcement Learning | |
| * **Gym** (OpenAI): A reinforcement learning environment | |
| * **Baselines** (OpenAI): A set of reinforcement learning algorithms | |
| * **RLlib** (UBC): A reinforcement learning library | |
| * **TensorFlow Agents** (Google): A reinforcement learning library | |
| * **Ray RLlib** (UC Berkeley): A reinforcement learning library | |
| # Data Science and Analytics | |
| * **Pandas** (Wes McKinney): A library for data manipulation and analysis | |
| * **NumPy** (Travis Oliphant): A library for numerical computing | |
| * **Matplotlib** (John Hunter): A plotting library | |
| * **Scikit-learn** (David Cournapeau): A machine learning library | |
| * **Statsmodels** (Statsmodels.org): A statistical modeling library | |
| * **Bokeh** (Continuum Analytics): A visualization library | |
| * **Seaborn** (Michael Waskom): A statistical data visualization library | |
| # Other | |
| * **SciPy** (SciPy.org): A scientific computing library | |
| * **Matlab** (MathWorks): A high-level technical computing language | |
| * **Julia** (JuliaLang.org): A high-performance language for AI and ML | |
| * **R** (R Foundation): A programming language for statistical computing | |
| # MLOps | |
| * **Tensorboard** | |
| * **AIM** | |
| * **LangSmith** | |
| * **AgentOps** | |
| # Runners | |
| * **Ollama** | |
| * **LLama.cpp** | |
| * **Tranformers** | |
| # Training/ Fine-Tuning | |
| * **Unsloth** | |
| * **Keras** | |
| * **Torch** | |
| * **OpenAI Gym** | |
| * **Stable-Baselines** | |
| # Platforms - Hosting - Model Zoo | |
| * **HuggingFace** | |
| * **Kaggle** | |