Alternatives and similar repositories for tauLDR

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

• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆179Updated 3 years ago
• ehoogeboom / multinomial_diffusion
  ☆229Updated 2 years ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆91Updated 4 years ago
• lebellig / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆113Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆149Updated 3 years ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆84Updated 3 years ago
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆62Updated 3 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆176Updated 6 months ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 4 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆134Updated 3 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆197Updated last year
• google-research / vdm
  ☆321Updated 2 years ago
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆40Updated 4 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆92Updated last year
• juliusberner / sde_sampler
  Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
  ☆66Updated 6 months ago
• ccr-cheng / statistical-flow-matching
  Official implementation of the NeurIPS 24 paper of statistical flow matching (SFM) for discrete generation.
  ☆33Updated 10 months ago
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆57Updated last year
• kuleshov-group / discrete-diffusion-guidance
  Simple Guidance Mechanisms for Discrete Diffusion Models
  ☆51Updated 9 months ago
• ML-GSAI / BFN-Solver
  Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"
  ☆41Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆93Updated last year
• ExplainableML / uot-fm
  Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]
  ☆17Updated last year
• AaltoML / generative-inverse-heat-dissipation
  Code release for the paper Generative Modeling With Inverse Heat Dissipation
  ☆76Updated 2 years ago
• nnaisense / bayesian-flow-networks
  This is the official code release for Bayesian Flow Networks.
  ☆295Updated last year
• qsh-zh / DiffFlow
  [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)
  ☆117Updated 2 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• malbergo / stochastic-interpolants
  ☆173Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆25Updated last year
• MaximeRobeyns / bayesian_flow_networks
  A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
  ☆27Updated last year
• ermongroup / sliced_score_matching
  Code for reproducing results in the sliced score matching paper (UAI 2019)
  ☆148Updated 5 years ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆116Updated last year