patrick-kidger / jaxtyping
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
☆1,365Updated last week
Alternatives and similar repositories for jaxtyping:
Users that are interested in jaxtyping are comparing it to the libraries listed below
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,426Updated 8 months ago
- Optax is a gradient processing and optimization library for JAX.☆1,858Updated this week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,299Updated last week
- ☆843Updated last week
- Library for reading and processing ML training data.☆421Updated this week
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆958Updated this week
- TensorDict is a pytorch dedicated tensor container.☆905Updated last week
- Universal Tensor Operations in Einstein-Inspired Notation for Python.☆365Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,420Updated this week
- JAX - A curated list of resources https://github.com/google/jax☆1,773Updated last month
- Orbax provides common checkpointing and persistence utilities for JAX users☆362Updated this week
- ML Collections is a library of Python Collections designed for ML use cases.☆937Updated this week
- Compositional Linear Algebra☆470Updated last week
- ☆565Updated this week
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆1,587Updated 2 weeks ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆894Updated last month
- Turn SymPy expressions into trainable JAX expressions.☆333Updated 2 months ago
- CLU lets you write beautiful training loops in JAX.☆335Updated this week
- For optimization algorithm research and development.☆505Updated this week
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆431Updated 2 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆396Updated this week
- Named tensors with first-class dimensions for PyTorch☆320Updated last year
- Create powerful Hydra applications without the yaml files and boilerplate code.☆372Updated this week
- Tensors, for human consumption☆1,211Updated 4 months ago
- ☆346Updated this week
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆896Updated 3 weeks ago
- A High Level API for Deep Learning in JAX☆474Updated 2 years ago
- AutoBound automatically computes upper and lower bounds on functions.☆358Updated 9 months ago
- Run PyTorch in JAX. 🤝☆234Updated last month
- jax-triton contains integrations between JAX and OpenAI Triton☆389Updated this week