google-deepmind / penzaiLinks
A JAX research toolkit for building, editing, and visualizing neural networks.
☆1,860Updated 7 months ago
Alternatives and similar repositories for penzai
Users that are interested in penzai are comparing it to the libraries listed below
Sorting:
- An interactive HTML pretty-printer for machine learning research in IPython notebooks.☆458Updated 5 months ago
- Open weights language model from Google DeepMind, based on Griffin.☆661Updated 2 weeks ago
- Schedule-Free Optimization in PyTorch☆2,254Updated 8 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆693Updated last week
- A modern model graph visualizer and debugger☆1,379Updated this week
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/☆1,723Updated last week
- Library for reading and processing ML training data.☆677Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,757Updated last week
- TensorDict is a pytorch dedicated tensor container.☆1,003Updated last week
- Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)☆1,299Updated last year
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆829Updated 6 months ago
- PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily wri…☆1,439Updated this week
- JAX - A curated list of resources https://github.com/google/jax☆2,032Updated 2 weeks ago
- ☆492Updated last year
- Optax is a gradient processing and optimization library for JAX.☆2,174Updated this week
- For optimization algorithm research and development.☆558Updated 3 weeks ago
- A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and full…☆628Updated 10 months ago
- A simple, performant and scalable Jax LLM!☆2,129Updated this week
- What would you do with 1000 H100s...☆1,148Updated 2 years ago
- ☆289Updated last year
- Puzzles for exploring transformers☆384Updated 2 years ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆548Updated 3 weeks ago
- Universal Notation for Tensor Operations in Python.☆464Updated 9 months ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆406Updated this week
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆827Updated last week
- ☆558Updated last year
- ☆923Updated last week
- Puzzles for learning Triton☆2,283Updated last year
- Orbax provides common checkpointing and persistence utilities for JAX users☆479Updated this week
- A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.☆298Updated last year