dgasmith / opt_einsum

Related projects ⓘ

Alternatives and complementary repositories for opt_einsum

• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,054Updated this week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆933Updated 2 months ago
• mpi4jax / mpi4jax
  Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python
  ☆445Updated 2 weeks ago
• dfm / extending-jax
  Extending JAX with custom C++ and CUDA code
  ☆378Updated 3 months ago
• google-deepmind / chex
  ☆788Updated this week
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,396Updated this week
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,699Updated last week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,445Updated this week
• google-deepmind / distrax
  ☆536Updated 2 months ago
• patrick-kidger / jaxtyping
  Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
  ☆1,219Updated this week
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆661Updated 2 years ago
• dionhaefner / pyhpc-benchmarks
  A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
  ☆312Updated last month
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆955Updated 4 years ago
• poets-ai / elegy
  A High Level API for Deep Learning in JAX
  ☆470Updated last year
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆561Updated this week
• nv-legate / cupynumeric
  An Aspiring Drop-In Replacement for NumPy at Scale
  ☆643Updated this week
• jax-md / jax-md
  Differentiable, Hardware Accelerated, Molecular Dynamics
  ☆1,187Updated 3 weeks ago
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,123Updated 2 weeks ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,376Updated 8 months ago
• jonasrauber / eagerpy
  PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
  ☆695Updated last year
• patrick-kidger / torchtyping
  Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
  ☆1,408Updated 3 months ago
• facebookincubator / submitit
  Python 3.8+ toolbox for submitting jobs to Slurm
  ☆1,302Updated 2 months ago
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆343Updated 3 weeks ago
• pytorch / nestedtensor
  [Prototype] Tools for the concurrent manipulation of variably sized Tensors.
  ☆253Updated 2 years ago
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆847Updated 3 weeks ago
• google / CommonLoopUtils
  CLU lets you write beautiful training loops in JAX.
  ☆321Updated this week
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆232Updated last month
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆322Updated 7 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆526Updated this week
• jcmgray / autoray
  Abstract your array operations.
  ☆137Updated 3 weeks ago