A JAX research toolkit for building, editing, and visualizing neural networks.
☆1,898Jun 22, 2025Updated last year
Alternatives and similar repositories for penzai
Users that are interested in penzai are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An interactive HTML pretty-printer for machine learning research in IPython notebooks.☆475Jun 18, 2026Updated last month
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,940Updated this week
- Library for reading and processing ML training data.☆762Updated this week
- A simple, performant, and scalable Jax LLM!☆2,382Updated this week
- Orbax provides common checkpointing and persistence utilities for JAX users☆527Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Optax is a gradient processing and optimization library for JAX.☆2,313Updated this week
- Named Tensors for Legible Deep Learning in JAX☆228Nov 8, 2025Updated 9 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆708Jan 26, 2026Updated 6 months ago
- Flax is a neural network library for JAX that is designed for flexibility.☆7,293Updated this week
- ☆309Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,852Jul 8, 2026Updated last month
- ☆952Updated this week
- JAX - A curated list of resources https://github.com/google/jax☆2,142Jan 20, 2026Updated 6 months ago
- A simple library for scaling up JAX programs☆148Nov 4, 2025Updated 9 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,082Jun 21, 2026Updated last month
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆569Jun 27, 2026Updated last month
- Monte Carlo tree search in JAX☆2,649Updated this week
- JAX-based neural network library☆3,267Updated this week
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,106Jul 29, 2026Updated last week
- Multiple dispatch over abstract array types in JAX.☆143Updated this week
- Open weights language model from Google DeepMind, based on Griffin.☆684Feb 6, 2026Updated 6 months ago
- PIX is an image processing library in JAX, for JAX.☆443Jul 8, 2026Updated last month
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,117Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- jax-triton contains integrations between JAX and OpenAI Triton☆467Updated this week
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆321Updated this week
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆611May 13, 2026Updated 2 months ago
- CLU lets you write beautiful training loops in JAX.☆370Jul 7, 2026Updated last month
- Schedule-Free Optimization in PyTorch☆2,323Jul 28, 2026Updated last week
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆558Updated this week
- ☆304Jul 15, 2024Updated 2 years ago
- ☆648Jul 30, 2026Updated last week
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,732Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Minimal yet performant LLM examples in pure JAX☆271Jul 4, 2026Updated last month
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆542Jul 17, 2026Updated 3 weeks ago
- An Extensible Deep Learning Library☆2,371Jul 8, 2026Updated last month
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆417Mar 18, 2026Updated 4 months ago
- Minimal, lightweight JAX implementations of popular models.☆240May 29, 2026Updated 2 months ago
- RL Environments in JAX 🌍☆912Apr 2, 2026Updated 4 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,056Jun 4, 2026Updated 2 months ago