Alternatives and similar repositories for mfm

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

• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆13Updated last year
• francois-rozet / papers-101
  Implementation of papers in 101 lines of code.
  ☆18Updated 2 years ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆25Updated 2 years ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆114Updated last year
• dingo-gw / flow-matching-posterior-estimation
  ☆31Updated 2 years ago
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆34Updated last month
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆71Updated 10 months ago
• probabilists / azula
  Diffusion models in PyTorch
  ☆124Updated this week
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 7 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆35Updated 11 months ago
• cgarciae / simple_flow_matching
  ☆24Updated last year
• haydn-jones / SOAP_JAX
  Unofficial JAX implementation of the SOAP optimizer (https://arxiv.org/abs/2409.11321)
  ☆24Updated 3 weeks ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆50Updated 7 months ago
• GrigoryBartosh / sde_matching
  ☆18Updated 7 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆26Updated 2 years ago
• thu-ml / i-DODE
  Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)
  ☆19Updated last week
• AndreiB137 / EinFields
  Einstein Fields official implementation in JAX.
  ☆69Updated 5 months ago
• probabilists / lampe
  Likelihood-free AMortized Posterior Estimation with PyTorch
  ☆132Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆82Updated last year
• davidnabergoj / torchflows
  Modern normalizing flows in Python. Simple to use and easily extensible.
  ☆11Updated 3 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆51Updated 2 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 3 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆44Updated last year
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• dodgebc / jaxkd
  Minimal JAX implementation of k-nearest neighbors using a k-d tree.
  ☆53Updated 6 months ago
• bb515 / diffusionjax
  diffusionjax is a simple and accessible diffusion models package in JAX
  ☆48Updated last year
• PolymathicAI / lola
  Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"
  ☆52Updated 3 months ago
• DoronHav / WassersteinFlowMatching
  ☆37Updated last week