Alternatives and similar repositories for CMCD

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

• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆65Updated 5 months ago
• sony / fp-diffusion
  ☆29Updated last year
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆36Updated 8 months ago
• malbergo / stochastic-interpolants
  ☆171Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆58Updated last month
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆62Updated last year
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆36Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆59Updated 4 months ago
• necludov / wl-mechanics
  ☆31Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆55Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆75Updated last year
• GFNOrg / gfn-diffusion
  ☆35Updated 4 months ago
• facebookresearch / adjoint_sampling
  code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"
  ☆116Updated last month
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• MaximeRobeyns / bayesian_flow_networks
  A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
  ☆27Updated last year
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆91Updated last year
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆50Updated 8 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆83Updated 3 years ago
• DoronHav / WassersteinFlowMatching
  ☆29Updated 2 weeks ago
• google-deepmind / md4
  Official Jax Implementation of MD4 Masked Diffusion Models
  ☆123Updated 6 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆251Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆17Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆114Updated last year
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆106Updated last year
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆33Updated 9 months ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆171Updated 6 months ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• microsoft / soc-fine-tuning-sd
  Reward fine-tuning for Stable Diffusion models based on stochastic optimal control, including Adjoint Matching
  ☆40Updated 2 months ago
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆101Updated last year