Alternatives and similar repositories for flax

Users that are interested in flax are comparing it to the libraries listed below

• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆3,114Updated last month
• jax-ml / jax
  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
  ☆33,852Updated this week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆2,065Updated this week
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,637Updated last week
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,253Updated 2 months ago
• n2cholas / awesome-jax
  JAX - A curated list of resources https://github.com/google/jax
  ☆1,958Updated 2 months ago
• facebookresearch / fairscale
  PyTorch extensions for high performance and large scale training.
  ☆3,384Updated 6 months ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,359Updated last year
• pyro-ppl / numpyro
  Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
  ☆2,547Updated this week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,385Updated last week
• google / trax
  Trax — Deep Learning with Clear Code and Speed
  ☆8,293Updated last month
• google / vizier
  Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
  ☆1,604Updated last week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,125Updated 5 months ago
• pytorch / xla
  Enabling PyTorch on XLA Devices (e.g. Google TPU)
  ☆2,697Updated this week
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,436Updated 2 months ago
• google / ml_collections
  ML Collections is a library of Python Collections designed for ML use cases.
  ☆990Updated 2 months ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,451Updated last year
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,386Updated this week
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,583Updated last month
• huggingface / accelerate
  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…
  ☆9,256Updated last week
• google / gin-config
  Gin provides a lightweight configuration framework for Python
  ☆2,130Updated last month
• libffcv / ffcv
  FFCV: Fast Forward Computer Vision (and other ML workloads!)
  ☆2,979Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,124Updated last week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,146Updated last year
• microsoft / mup
  maximal update parametrization (µP)
  ☆1,613Updated last year
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,930Updated last week
• facebook / Ax
  Adaptive Experimentation Platform
  ☆2,597Updated this week
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,988Updated this week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,810Updated last month
• google-deepmind / penzai
  A JAX research toolkit for building, editing, and visualizing neural networks.
  ☆1,824Updated 4 months ago