Alternatives and similar repositories for jax:

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

• google / flax
  Flax is a neural network library for JAX that is designed for flexibility.
  ☆6,375Updated this week
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,772Updated 3 weeks ago
• cupy / cupy
  NumPy & SciPy for GPU
  ☆9,949Updated this week
• optuna / optuna
  A hyperparameter optimization framework
  ☆11,470Updated last week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,154Updated this week
• Lightning-AI / pytorch-lightning
  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
  ☆29,067Updated this week
• NVIDIA / Megatron-LM
  Ongoing research training transformer models at scale
  ☆11,612Updated this week
• pytorch / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆87,450Updated this week
• facebookresearch / faiss
  A library for efficient similarity search and clustering of dense vectors.
  ☆33,349Updated this week
• triton-lang / triton
  Development repository for the Triton language and compiler
  ☆14,674Updated this week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,403Updated last month
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,973Updated last month
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,672Updated this week
• karpathy / nanoGPT
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆39,738Updated 2 months ago
• NVIDIA / DeepLearningExamples
  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…
  ☆13,998Updated 6 months ago
• facebookresearch / fairseq
  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
  ☆31,060Updated last month
• google / sentencepiece
  Unsupervised text tokenizer for Neural Network-based text generation.
  ☆10,642Updated this week
• huggingface / transformers
  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
  ☆140,445Updated this week
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,974Updated 3 weeks ago
• ray-project / ray
  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
  ☆35,754Updated this week
• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆8,720Updated this week
• facebookresearch / hydra
  Hydra is a framework for elegantly configuring complex applications
  ☆9,085Updated 2 weeks ago
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,566Updated this week
• google-research / bert
  TensorFlow code and pre-trained models for BERT
  ☆38,737Updated 7 months ago
• deepspeedai / DeepSpeed
  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
  ☆37,171Updated this week
• spotify / annoy
  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
  ☆13,535Updated 7 months ago
• karpathy / minGPT
  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
  ☆21,487Updated 6 months ago
• wandb / wandb
  The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
  ☆9,579Updated this week
• huggingface / accelerate
  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…
  ☆8,411Updated this week
• pytorch / examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆22,778Updated 3 weeks ago