Alternatives and similar repositories for DiGS:

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

• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆25Updated last year
• stepelu / idbm-pytorch
  ☆13Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆110Updated last year
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆67Updated last year
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆46Updated last month
• 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
• blt2114 / twisted_diffusion_sampler
  Practically and asymptotically accurate conditional sampling from diffusion generative models without conditional training
  ☆43Updated 5 months ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆57Updated last year
• kksniak / metric-flow-matching
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆35Updated 5 months ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆154Updated 2 months ago
• vsomnath / aligned_diffusion_bridges
  Aligned Diffusion Schroedinger Bridges (UAI 2023)
  ☆32Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆77Updated last year
• malbergo / stochastic-interpolants
  ☆141Updated last year
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆82Updated 3 years ago
• vdeborto / cdsb
  ☆23Updated 2 years ago
• KingJamesSong / PDETraversal
  ICML23 "Latent Traversals in Generative Models as Potential Flows"
  ☆26Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆51Updated 2 weeks ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆163Updated 3 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆30Updated 4 months ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• thu-ml / i-DODE
  Official code for "Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs" (ICML 2023)
  ☆18Updated last month
• vgsatorras / en_flows
  ☆60Updated 3 years ago
• johndpope / Simplified-Diffusion-Schrodinger-Bridge
  ☆27Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆68Updated last year
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆80Updated last year
• sony / fp-diffusion
  ☆28Updated last year
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆44Updated 3 months ago
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆24Updated 5 months ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆76Updated 3 years ago