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awesome-ai

A curated list of awesome frameworks, libraries, tools, and resources for Artificial Intelligence (AI). This list covers everything from foundational machine learning and deep learning to specialized areas like NLP, computer vision, and AI ethics.
https://github.com/awesomelistsio/awesome-ai

Last synced: 4 days ago
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  • Machine Learning

    • Dask-ML - A scalable machine learning library that integrates with Dask for parallel computing.
    • MLflow - An open-source platform for managing the end-to-end machine learning lifecycle.
    • XGBoost - A scalable and efficient gradient boosting framework.
    • CatBoost - A gradient boosting library that handles categorical features automatically.
    • Dask-ML - A scalable machine learning library that integrates with Dask for parallel computing.
    • MLflow - An open-source platform for managing the end-to-end machine learning lifecycle.
  • General AI

    • TensorFlow - An open-source platform for machine learning, providing a comprehensive ecosystem of tools.
    • PyTorch - An open-source deep learning framework that provides a flexible and dynamic computation graph.
    • Scikit-learn - A Python library for machine learning, featuring various classification, regression, and clustering algorithms.
    • Keras - A high-level neural networks API, written in Python and capable of running on top of TensorFlow or Theano.
    • OpenAI Gym - A toolkit for developing and comparing reinforcement learning algorithms.
  • Deep Learning

    • DeepSpeed - A deep learning optimization library that makes distributed training easy and efficient.
    • ONNX - An open format for AI models, allowing interoperability between different deep learning frameworks.
    • DeepSpeed - A deep learning optimization library that makes distributed training easy and efficient.
    • ONNX - An open format for AI models, allowing interoperability between different deep learning frameworks.
  • Natural Language Processing (NLP)

    • spaCy - An open-source NLP library for advanced natural language processing in Python.
    • NLTK - The Natural Language Toolkit, a comprehensive library for text processing and analysis.
    • Stanford NLP - A suite of NLP tools developed by the Stanford NLP Group.
    • AllenNLP - An open-source research library for NLP, built on top of PyTorch.
    • AllenNLP - An open-source research library for NLP, built on top of PyTorch.
    • spaCy - An open-source NLP library for advanced natural language processing in Python.
    • NLTK - The Natural Language Toolkit, a comprehensive library for text processing and analysis.
    • Stanford NLP - A suite of NLP tools developed by the Stanford NLP Group.
  • Computer Vision

    • OpenCV - An open-source computer vision library for image and video processing.
    • Detectron2 - A high-performance object detection library by Facebook AI Research.
    • OpenCV - An open-source computer vision library for image and video processing.
    • Detectron2 - A high-performance object detection library by Facebook AI Research.
    • YOLO (You Only Look Once) - A state-of-the-art, real-time object detection system.
    • Fastai - A library simplifying training of fast and accurate neural networks for vision tasks.
    • Fastai - A library simplifying training of fast and accurate neural networks for vision tasks.