Alternatives and similar repositories for torchax

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

• jax-ml / jax-llm-examples
  Minimal yet performant LLM examples in pure JAX
  ☆233Updated 2 weeks ago
• google / qwix
  a Jax quantization library
  ☆87Updated this week
• openxla / tokamax
  Tokamax: A GPU and TPU kernel library.
  ☆165Updated last week
• NVIDIA / JAX-Toolbox
  JAX-Toolbox
  ☆381Updated this week
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆144Updated 2 months ago
• google / orbax
  Orbax provides common checkpointing and persistence utilities for JAX users
  ☆478Updated this week
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆437Updated last month
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆170Updated 6 months ago
• modula-systems / modula
  🧱 Modula software package
  ☆322Updated 5 months ago
• jax-ml / bonsai
  Minimal, lightweight JAX implementations of popular models.
  ☆180Updated this week
• google-deepmind / nanodo
  ☆289Updated last year
• marin-community / haliax
  Named Tensors for Legible Deep Learning in JAX
  ☆217Updated 2 months ago
• jax-ml / jax-ai-stack
  ☆263Updated this week
• nebius / kvax
  A FlashAttention implementation for JAX with support for efficient document mask computation and context parallelism.
  ☆157Updated 2 months ago
• nshepperd / flash_attn_jax
  JAX bindings for Flash Attention v2
  ☆103Updated last month
• metaopt / optree
  OpTree: Optimized PyTree Utilities
  ☆205Updated 3 weeks ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆311Updated 3 months ago
• google / aqt
  ☆344Updated 3 weeks ago
• google / grain
  Library for reading and processing ML training data.
  ☆670Updated last week
• google-deepmind / jmp
  JMP is a Mixed Precision library for JAX.
  ☆211Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆154Updated 2 years ago
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆133Updated 6 months ago
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆35Updated 2 months ago
• google / jaxonnxruntime
  A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.
  ☆130Updated last month
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆98Updated last month
• AllanYangZhou / midGPT
  Distributed pretraining of large language models (LLMs) on cloud TPU slices, with Jax and Equinox.
  ☆24Updated last year
• yixiaoer / einshard
  Einsum-like high-level array sharding API for JAX
  ☆34Updated last year
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆45Updated last year
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆472Updated 2 weeks ago
• AI-Hypercomputer / maxdiffusion
  ☆300Updated this week