Sébastien De Greef commited on
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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:
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+ 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.
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+ # Agent Builders
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+ **CrewAI** (CrewAI): The most advanced opensource Agents builder framework
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+ **Autogen** (Microsoft): An agent builder framework with a UI
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+ # Deep Learning
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+ **TensorFlow** (Google): An open-source machine learning framework
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+ **PyTorch** (Facebook): An open-source machine learning framework
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+ **Keras** (Google): A high-level neural networks API
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+ **CNTK** (Microsoft): A deep learning framework
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+ # Natural Language Processing (NLP)**
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+ **NLTK** (Stanford University): A comprehensive NLP library
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+ **spaCy** (Explosion AI): A modern NLP library
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+ **Stanford CoreNLP** (Stanford University): A Java library for NLP
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+ **Transformers** (Hugging Face): A library for natural language understanding and generation
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+ # Computer Vision**
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+ **OpenCV** (OpenCV.org): A computer vision library
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+ **Pillow** (Python Imaging Library): A Python imaging library
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+ **scikit-image** (Scikit-learn): A library for image processing
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+ **TensorFlow Computer Vision** (Google): A computer vision library
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+ **PyTorch Vision** (Facebook): A computer vision library
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+ **Keras Applications** (Google): A collection of pre-built computer vision models
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+ # Reinforcement Learning
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+ **Gym** (OpenAI): A reinforcement learning environment
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+ **Baselines** (OpenAI): A set of reinforcement learning algorithms
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+ **RLlib** (UBC): A reinforcement learning library
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+ **TensorFlow Agents** (Google): A reinforcement learning library
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+ **Ray RLlib** (UC Berkeley): A reinforcement learning library
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+ # Data Science and Analytics
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+ **Pandas** (Wes McKinney): A library for data manipulation and analysis
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+ **NumPy** (Travis Oliphant): A library for numerical computing
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+ **Matplotlib** (John Hunter): A plotting library
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+ **Scikit-learn** (David Cournapeau): A machine learning library
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+ **Statsmodels** (Statsmodels.org): A statistical modeling library
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+ **Bokeh** (Continuum Analytics): A visualization library
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+ **Seaborn** (Michael Waskom): A statistical data visualization library
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+ # Other
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+ **SciPy** (SciPy.org): A scientific computing library
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+ **Matlab** (MathWorks): A high-level technical computing language
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+ **Julia** (JuliaLang.org): A high-performance language for AI and ML
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+ **R** (R Foundation): A programming language for statistical computing
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+ # MLOps
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+ **Tensorboard**
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+ **AIM**
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+ **LangSmith**
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+ **AgentOps**
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+ # Runners
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+ **Ollama**
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+ **LLama.cpp**
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+ **Tranformers**
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+ # Training/ Fine-Tuning
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+ **Unsloth**
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+ **Keras**
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+ **Torch**
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+ **OpenAI Gym**
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+ **Stable-Baselines**
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+ # Platforms - Hosting - Model Zoo
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+ **HuggingFace**
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+ **Kaggle**
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