Alternatives and similar repositories for stochastic-interpolants

Users that are interested in stochastic-interpolants are comparing it to the libraries listed below

• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆193Updated 10 months ago
• J-zin / Awesome-Diffusion-Flow-Samplers
  Collecting research materials on neural samplers with diffusion/flow models
  ☆59Updated 6 months ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆188Updated 4 years ago
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆71Updated 9 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆88Updated 3 years ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆84Updated last year
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆280Updated last year
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆117Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆79Updated 2 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆104Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆153Updated 4 years ago
• necludov / jam
  Implementation of Action Matching
  ☆49Updated 2 years ago
• sony / fp-diffusion
  ☆31Updated last year
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆127Updated last year
• google-research / vdm
  ☆327Updated 3 years ago
• lollcat / fab-torch
  Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
  ☆66Updated last year
• DoronHav / WassersteinFlowMatching
  ☆36Updated last week
• dongzhuoyao / awesome-flow-matching
  A summary of related works about flow matching, stochastic interpolants
  ☆626Updated 9 months ago
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆307Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆57Updated last year
• kkapusniak / metric-flow-matching
  Official implementation of Metric Flow Matching (NeurIPS 2024)
  ☆57Updated 4 months ago
• franciscovargas / denoising_diffusion_samplers
  ☆18Updated 2 years ago
• hieuristic / Tutorial_4
  A Tutorial for Diffusion Models
  ☆60Updated 2 years ago
• GavinKerrigan / functional_diffusion
  ☆26Updated 2 years ago
• DenisBless / variational_sampling_methods
  [ICML 2024] Official implementation for "Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling".
  ☆41Updated last year
• kvfrans / jax-flow
  Flow-matching algorithms in JAX
  ☆113Updated last year
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆64Updated 2 years ago
• Kinyugo / consistency_models
  A mini-library for training consistency models.
  ☆251Updated 2 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆40Updated 3 years ago
• sbyebss / variational_wgf
  [ICML2022] Variational Wasserstein gradient flow
  ☆24Updated 3 years ago