isjakewong / awesome-discrete-diffusion-models

Related projects: ⓘ

• HKUNLP / reparam-discrete-diffusion
  Reparameterized Discrete Diffusion Models for Text Generation
  ☆90Updated last year
• igul222 / plaid
  ☆64Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆40Updated 5 months ago
• minyoungg / vqtorch
  ☆103Updated 6 months ago
• ljh0v0 / D3PM-Pytorch
  Unofficial PyTorch implementation of Discrete Denoising Diffusion Probabilistic Model(D3PM)
  ☆29Updated last year
• justinlovelace / latent-diffusion-for-language
  ☆98Updated 6 months ago
• ehoogeboom / multinomial_diffusion
  ☆199Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆38Updated 7 months ago
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆154Updated 11 months ago
• ML-GSAI / BFN-Solver
  Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"
  ☆27Updated 4 months ago
• kuleshov-group / mdlm
  Simplified Masked Diffusion Language Model
  ☆160Updated 2 weeks ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆82Updated 3 years ago
• ML-GSAI / RADD
  Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"
  ☆11Updated last week
• gle-bellier / flow-matching
  Annotated Flow Matching paper
  ☆91Updated this week
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆52Updated 2 years ago
• SHI-Yu-Zhe / generative-modeling-explained
  Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
  ☆46Updated last year
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆73Updated last year
• gle-bellier / discrete-fm
  Educational implementation of the Discrete Flow Matching paper
  ☆24Updated 3 weeks ago
• yuPeiyu98 / Latent-Diffusion-EBM
  [ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling
  ☆63Updated 2 years ago
• microsoft / ReinMax
  Beyond Straight-Through
  ☆82Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆130Updated 2 years ago
• lsj2408 / URPE
  [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)
  ☆30Updated last year
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆120Updated 3 years ago
• MaximeRobeyns / bayesian_flow_networks
  A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
  ☆21Updated 9 months ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆40Updated 2 years ago
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆119Updated 11 months ago
• louaaron / Score-Entropy-Discrete-Diffusion
  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
  ☆352Updated 6 months ago
• lucidrains / rectified-flow-pytorch
  Implementation of rectified flow and some of its followup research / improvements in Pytorch
  ☆141Updated 3 weeks ago
• DaShenZi721 / HRA
  ☆14Updated 2 months ago
• lucidrains / gated-state-spaces-pytorch
  Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch
  ☆94Updated last year