Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
☆549Updated this week
Alternatives and similar repositories for paxml
Users that are interested in paxml are comparing it to the libraries listed below
Sorting:
- ☆192Feb 16, 2026Updated last week
- ☆151Feb 12, 2026Updated 2 weeks ago
- A simple, performant and scalable Jax LLM!☆2,148Updated this week
- Orbax provides common checkpointing and persistence utilities for JAX users☆482Updated this week
- JAX-Toolbox☆385Updated this week
- CLU lets you write beautiful training loops in JAX.☆366Feb 20, 2026Updated last week
- Task-based datasets, preprocessing, and evaluation for sequence models.☆594Feb 3, 2026Updated 3 weeks ago
- Library for reading and processing ML training data.☆685Updated this week
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆693Jan 26, 2026Updated last month
- ☆348Feb 19, 2026Updated last week
- ☆367Apr 12, 2024Updated last year
- Optax is a gradient processing and optimization library for JAX.☆2,193Updated this week
- jax-triton contains integrations between JAX and OpenAI Triton☆439Updated this week
- Train very large language models in Jax.☆210Oct 21, 2023Updated 2 years ago
- ☆925Jan 29, 2026Updated last month
- ☆2,946Jan 15, 2026Updated last month
- JAX-based neural network library☆3,191Updated this week
- ☆376Feb 14, 2026Updated 2 weeks ago
- JMP is a Mixed Precision library for JAX.☆211Jan 30, 2025Updated last year
- Flax is a neural network library for JAX that is designed for flexibility.☆7,082Feb 22, 2026Updated last week
- A functional training loops library for JAX☆88Feb 13, 2024Updated 2 years ago
- A simple library for scaling up JAX programs☆146Nov 4, 2025Updated 3 months ago
- ☆620Jan 23, 2026Updated last month
- JAX - A curated list of resources https://github.com/google/jax☆2,058Jan 20, 2026Updated last month
- JAX implementation of the Llama 2 model☆216Feb 2, 2024Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,027Dec 17, 2025Updated 2 months ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆314Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,792Updated this week
- ☆1,407Dec 9, 2025Updated 2 months ago
- Named Tensors for Legible Deep Learning in JAX☆217Nov 8, 2025Updated 3 months ago
- LoRA for arbitrary JAX models and functions☆145Feb 26, 2024Updated 2 years ago
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆131Feb 19, 2026Updated last week
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆413Jan 5, 2026Updated last month
- JAX Synergistic Memory Inspector☆184Jul 16, 2024Updated last year
- ☆234Feb 12, 2025Updated last year
- Accelerate, Optimize performance with streamlined training and serving options with JAX.☆339Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,736Feb 16, 2026Updated last week
- Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes☆241May 12, 2023Updated 2 years ago
- A platform for managing machine learning experiments☆898Feb 6, 2026Updated 3 weeks ago