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)
  ☆61Updated 2 months ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆32Updated 5 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆34Updated 8 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆57Updated last year
• GFNOrg / gfn-diffusion
  ☆33Updated last month
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆46Updated 2 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆53Updated last month
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆49Updated last year
• malbergo / stochastic-interpolants
  ☆142Updated last year
• sony / fp-diffusion
  ☆27Updated last year
• franciscovargas / denoising_diffusion_samplers
  ☆16Updated last year
• necludov / wl-mechanics
  ☆32Updated 11 months ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆22Updated 2 years ago
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• DoronHav / WassersteinFlowMatching
  ☆28Updated last month
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆37Updated 4 months ago
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆88Updated 8 months ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆23Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆77Updated 9 months ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆126Updated 3 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 6 months ago
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆38Updated 4 years ago
• angusphillips / particle_denoising_diffusion_sampler
  Code repository for Particle Denoising Diffusion Sampler
  ☆14Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆77Updated last year
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆80Updated last year
• saleml / continuous-gfn
  ☆24Updated last year