Alternatives and similar repositories for SOAP_JAX

Users that are interested in SOAP_JAX are comparing it to the libraries listed below

• nikhilvyas / SOAP
  ☆218Updated 10 months ago
• evanatyourservice / psgd_jax
  Implementation of PSGD optimizer in JAX
  ☆33Updated 9 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆105Updated last year
• shikaiqiu / compute-better-spent
  ☆58Updated last year
• lindermanlab / elk
  Scalable and Stable Parallelization of Nonlinear RNNS
  ☆23Updated this week
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆93Updated 4 months ago
• locuslab / torchdeq
  Modern Fixed Point Systems using Pytorch
  ☆118Updated last year
• probabilists / azula
  Diffusion models in PyTorch
  ☆111Updated last month
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆69Updated 7 months ago
• JesseFarebro / flax-mup
  Maximal Update Parametrization (μP) with Flax & Optax.
  ☆16Updated last year
• AndPotap / einsum-search
  ☆33Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated 2 years ago
• google-research / spherical-cnn
  ☆128Updated 10 months ago
• brandstetter-johannes / LPSDA
  Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"
  ☆53Updated 2 years ago
• kvfrans / splus
  ☆120Updated 4 months ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆122Updated 10 months ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆112Updated 10 months ago
• DoronHav / WassersteinFlowMatching
  ☆34Updated 2 months ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆12Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆127Updated 2 years ago
• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆23Updated 4 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆49Updated 3 years ago
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆83Updated 10 months ago
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆144Updated 11 months ago
• necludov / jam
  Implementation of Action Matching
  ☆46Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆49Updated 3 months ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆49Updated 5 months ago
• necludov / wl-mechanics
  ☆31Updated last year