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JAX

216 items from n2cholas/awesome-jax ★2,166

  1. 0
    transformers github.com

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

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    Trax github.com

    "Batteries included" deep learning library focused on providing solutions for common workloads.

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    FLAX github.com

    A neural network library for JAX that is designed for flexibility.

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    AlphaFold github.com

    Implementation of the inference pipeline of AlphaFold v2.0, presented in Highly accurate protein structure prediction with AlphaFold.

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    Vision Transformer github.com

    Official implementation of An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

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    Big Transfer (BiT) github.com

    Implementation of Big Transfer (BiT): General Visual Representation Learning.

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    Scenic github.com

    A Jax Library for Computer Vision Research and Beyond.

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    Haiku github.com

    Focused on simplicity, created by the authors of Sonnet at DeepMind.

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    BRAX github.com

    Differentiable physics engine to simulate environments along with learning algorithms to train agents for these environments.

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    Equinox github.com

    Callable PyTrees and filtered JIT/grad transformations => neural networks in JAX.

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    NumPyro github.com

    Probabilistic programming based on the Pyro library.

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    Mctx github.com

    Monte Carlo tree search algorithms in native JAX.

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    EasyLM github.com

    LLMs made easy: Pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

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    MaxText github.com

    A simple, performant and scalable Jax LLM written in pure Python/Jax and targeting Google Cloud TPUs.

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    Neural Tangents github.com

    High-level API for specifying neural networks of both finite and infinite width.

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    Optax github.com

    Gradient processing and optimization library.

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    cvxpylayers github.com

    Construct differentiable convex optimization layers.

  18. 0
    Diffrax github.com

    Numerical differential equation solvers in JAX.

  19. 0
    Penzai github.com

    Prioritizes legibility, visualization, and easy editing of neural network models with composable tools and a simple mental model.

  20. 0
    TensorLy github.com

    Tensor learning made simple.

  21. 0
    Jraph github.com

    Lightweight graph neural network library.

  22. 0
    JAX, M.D. github.com

    Accelerated, differential molecular dynamics.

  23. 0
    RLax github.com

    Library for implementing reinforcement learning agents.

  24. 0
    Fourier Feature Networks github.com

    Official implementation of Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

  25. 0
    BlackJAX github.com

    Library of samplers for JAX.

  26. 0
    purejaxrl github.com

    Vectorisable, end-to-end RL algorithms in JAX.

  27. 0
    JAXopt github.com

    Hardware accelerated (GPU/TPU), batchable and differentiable optimizers in JAX.

  28. 0
    Dynamax github.com

    Probabilistic state space models.

  29. 0
    Chex github.com

    Utilities to write and test reliable JAX code.

  30. 0
    EvoJAX github.com

    Hardware-Accelerated Neuroevolution

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