Alternatives and similar repositories for jax-diffusion

Users that are interested in jax-diffusion are comparing it to the libraries listed below

• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆114Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆39Updated last year
• phlippe / jax_trainer
  Lightning-like training API for JAX with Flax
  ☆45Updated last year
• qsh-zh / pis
  [ICLR 2022] Path integral sampler
  ☆52Updated 2 years ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆259Updated 2 years ago
• kvfrans / splus
  ☆122Updated 7 months ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆98Updated last month
• evanatyourservice / psgd_jax
  Implementation of PSGD optimizer in JAX
  ☆35Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• radarFudan / mamba-minimal-jax
  ☆35Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆126Updated last year
• lockwo / distreqx
  Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.
  ☆39Updated this week
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆36Updated 4 years ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆128Updated 5 months ago
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆48Updated 11 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆61Updated 7 months ago
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 5 months ago
• kvfrans / jax-vqvae-vqgan
  JAX implementation of VQVAE/VQGAN autoencoders (+FSQ)
  ☆40Updated last year
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 2 years ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆71Updated 10 months ago
• DoronHav / WassersteinFlowMatching
  ☆36Updated this week
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆144Updated 2 months ago
• dlwh / jax_sourceror
  Turn jitted jax functions back into python source code
  ☆23Updated last year
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆52Updated 3 years ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆311Updated 3 months ago
• GFNOrg / gfn-diffusion
  ☆36Updated 9 months ago
• JesseFarebro / flax-mup
  Maximal Update Parametrization (μP) with Flax & Optax.
  ☆16Updated 2 years ago
• antonioterpin / jkonet-star
  JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".
  ☆36Updated 9 months ago
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆59Updated 7 months ago
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆92Updated last year