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AI

Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.

  1. tensorflow github.com

    Computation using data flow graphs for scalable machine learning by Google.

  2. pytorch github.com

    Tensors and Dynamic neural networks in Python with strong GPU acceleration.

  3. transformers github.com

    State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  4. Netron github.com

    Visualizer for deep learning and machine learning models.

  5. Screenpipe github.com

    Source-available screen and audio recorder with searchable local history, optional cloud AI, and free and paid plans.

  6. Bayesian Methods for Hackers github.com

    by Cameron Davidson-Pilon. Introduction to Bayesian methods and probabilistic graphical models using tensorflow-probability (and, alternatively PyMC2/3).

  7. Opik github.com

    An open-source platform for tracing, evaluating, and monitoring LLM applications. #opensource

  8. ML Workspace github.com

    All-in-one web IDE for machine learning and data science. Combines Tensorflow, Jupyter, VS Code, Tensorboard, and many other tools/libraries into one Docker image.

  9. dlib github.com

    Toolkit for making real-world machine learning and data analysis applications in C++ (Python bindings).

  10. Catalyst github.com

    High-level utils for PyTorch DL & RL research.

  11. m2cgen github.com

    A CLI tool to transpile trained classic machine learning models into a native Rust code with zero dependencies.

  12. OpenCV github.com

    Open Source Computer Vision Library.

  13. scikit-learn github.com

    scikit-learn: machine learning in Python.

  14. gradio github.com

    Create UIs for your machine learning model in Python in 3 minutes.

  15. Sonnet github.com

    TensorFlow-based neural network library.

  16. Colossal-AI github.com
  17. TFLearn github.com

    Deep learning library featuring a higher-level API for TensorFlow.

  18. Caffe github.com

    A fast open framework for deep learning.

  19. Brain.js github.com

    Neural networks in JavaScript.

  20. AI Expert Roadmap github.com

    Roadmap to becoming an Artificial Intelligence Expert

  21. Machine Learning for Software Engineers github.com
  22. AI SDK github.com
  23. PlotNeuralNet github.com

    Latex code for drawing neural networks for reports and presentation.

  24. Wave Terminal github.com

    Open-source terminal with AI integration.

  25. MXNet github.com

    Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, JavaScript and more. website

  26. Polyaxon github.com

    A platform for reproducible and scalable machine learning and deep learning.

  27. stable-baselines3 github.com

    A set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines.

  28. Shogun github.com

    Machine learning toolbox.

  29. gymnasium github.com

    An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym).

  30. context7 github.com

    MCP Server with up-to-date code documentation for LLMs and AI code editors.

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