torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorch syntax together when authoring ML programs, and run it in every hardware JAX can run.
☆251Oct 22, 2026Updated 3 weeks ago
Alternatives and similar repositories for torchax
Users that are interested in torchax are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Moving to vllm-project/vllm-jax. TPU inference for vLLM, with unified JAX and PyTorch support.☆480Updated this week
- Tokamax: A GPU and TPU kernel library.☆330Updated this week
- JAX backend for SGL☆379Updated this week
- Microbenchmarking hyperparameter tuning for JAX functions.☆24Oct 9, 2026Updated last month
- Minimal yet performant LLM examples in pure JAX☆287Aug 23, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Orbax provides common checkpointing and persistence utilities for JAX users☆540Updated this week
- Library for reading and processing ML training data.☆806Updated this week
- Run PyTorch in JAX. 🤝☆317Oct 13, 2025Updated last year
- Custom trained GRACE-OFFF models☆12Nov 4, 2026Updated last week
- ☆315Oct 13, 2026Updated 3 weeks ago
- A simple, performant, and scalable Jax LLM!☆2,460Updated this week
- Minimal, lightweight JAX implementations of popular models.☆246May 29, 2026Updated 5 months ago
- JAX-Toolbox☆437Updated this week
- JAX implementation of the NequIP neural network interatomic potential☆19Feb 24, 2026Updated 8 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆21Oct 5, 2026Updated last month
- a Jax quantization library☆143Updated this week
- ☆103Updated this week
- ☆174Updated this week
- ☆138Nov 5, 2026Updated last week
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- An ASE-friendly implementation of the amorphous-to-crystalline (a2c) workflow.☆18Oct 19, 2025Updated last year
- ☆18Feb 26, 2026Updated 8 months ago
- Save pytrees efficiently in HDF5 files.☆16Nov 3, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆552Oct 26, 2026Updated 2 weeks ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,999Oct 25, 2026Updated 2 weeks ago
- Custom Bindings for Enzyme Automatic Differentiation Tool and Interfacing with JAX.☆139Updated this week
- A hybrid Icechunk/Iceberg store for keeping arrays and their tabular metadata synchronized.☆14Sep 23, 2026Updated last month
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆473Jan 5, 2026Updated 10 months ago
- ☆843Updated this week
- ☆246Updated this week
- OpenMM plugin for running JAX force fields through JaxForce☆16Aug 10, 2026Updated 3 months ago
- ☆27Sep 10, 2026Updated 2 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Vote on whether you think predicted crystal structures could be synthesised☆18Jul 29, 2024Updated 2 years ago
- Named Tensors for Legible Deep Learning in JAX☆232Sep 1, 2026Updated 2 months ago
- Finite State Machine implementations of MCMC algorithms in JAX for efficient vectorization.☆21Jun 7, 2025Updated last year
- ☆395Updated this week
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆85Dec 18, 2025Updated 10 months ago
- SGLang's TorchTPU Plugin☆78Updated this week
- ☆23Dec 16, 2024Updated last year
Are these results useful?