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Sébastien De Greef
feat: Add frameworks.qmd file with a comprehensive list of AI tools and libraries
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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** | |