Alternatives and similar repositories for denoising_diffusion_samplers:

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

• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆28Updated last month
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆46Updated last week
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆106Updated last year
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆53Updated 10 months ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆54Updated 4 months ago
• take-koshizuka / NLSB
  ☆19Updated last year
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆22Updated last year
• maxwshen / gflownet
  ☆14Updated last year
• necludov / wl-mechanics
  ☆31Updated 7 months ago
• necludov / jam
  Implementation of Action Matching
  ☆37Updated last year
• GFNOrg / gfn-diffusion
  ☆20Updated 3 months ago
• malbergo / stochastic-interpolants
  ☆121Updated 11 months ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆30Updated 5 months ago
• ruqizhang / discrete-langevin
  ☆33Updated 2 years ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆47Updated 2 years ago
• saleml / continuous-gfn
  ☆23Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆81Updated last year
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆80Updated 2 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆192Updated 10 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆93Updated 8 months ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆86Updated last month
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆20Updated last year
• DoronHav / WassersteinFlowMatching
  ☆18Updated last month
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated last year
• noamroze / moser_flow
  ☆16Updated 2 years ago
• shreyaspadhy / CMCD
  Implementing Controlled Monte Carlo Diffusions (ICLR 2024)
  ☆14Updated 3 months ago
• ngushchin / EntropicOTBenchmark
  Entropic Optimal Transport Benchmark (NeurIPS 2023).
  ☆20Updated 9 months ago
• wgrathwohl / GWG_release
  Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"
  ☆54Updated last year
• kaist-silab / design-baselines-fixes
  Baselines for Model-Based Optimization installation fixes and compatible with newer AMPERE+ GPUs (e.g. 3090)
  ☆11Updated last year
• angusphillips / particle_denoising_diffusion_sampler
  Code repository for Particle Denoising Diffusion Sampler
  ☆11Updated 9 months ago