DaShenZi721 / HRA

Related projects: ⓘ

• ML-GSAI / RADD
  Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"
  ☆11Updated last week
• HongtengXu / Reading-List
  A list of papers for group meeting
  ☆15Updated last week
• ML-GSAI / BFN-Solver
  Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"
  ☆27Updated 4 months ago
• ljh0v0 / D3PM-Pytorch
  Unofficial PyTorch implementation of Discrete Denoising Diffusion Probabilistic Model(D3PM)
  ☆29Updated last year
• qingmeiwangdaily / HCL_TPP
  Hierarchical Contrastive Learning for Temporal Point Processes
  ☆21Updated 11 months ago
• HKUNLP / reparam-discrete-diffusion
  Reparameterized Discrete Diffusion Models for Text Generation
  ☆90Updated last year
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆40Updated 5 months ago
• SDS-Lab / ROT-Pooling
  Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)
  ☆15Updated 6 months ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆82Updated 3 years ago
• gcorso / particle-guidance
  Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
  ☆64Updated 10 months ago
• rjiang03 / HCL-OT
  ☆11Updated last year
• isjakewong / awesome-discrete-diffusion-models
  A curated list for awesome discrete diffusion models resources.
  ☆35Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆21Updated 8 months ago
• JegZheng / CT-pytorch
  Repository for conditional transport
  ☆14Updated 2 years ago
• 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
• IDEA-XL / PRESTO
  PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
  ☆16Updated 3 weeks ago
• yangco-le / AdvLatGAN
  [NeurIPS 2022 Spotlight] Improving Generative Adversarial Networks via Adversarial Learning in Latent Space
  ☆16Updated last year
• ehoogeboom / multinomial_diffusion
  ☆199Updated last year
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆38Updated 6 months ago
• XJTU-XGU / OTCS
  Code for "Optimal Transport-Guided Conditional Score-Based Diffusion Model (NeurIPS, 8,7,7,6)"
  ☆47Updated 9 months ago
• thorinf / simple-diffusion-lm
  A simple DIffusion LM approach.
  ☆20Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆29Updated 3 months ago
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆102Updated 2 years ago
• justinlovelace / latent-diffusion-for-language
  ☆98Updated 6 months ago
• facebookresearch / generalized-schrodinger-bridge-matching
  code for "Generalized Schrödinger Bridge Matching" (ICLR 2024).
  ☆30Updated 5 months ago
• harryjo97 / GruM
  Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).
  ☆17Updated 4 months ago
• Wuyxin / DISC
  Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)
  ☆39Updated 5 months ago
• locuslab / deq-ddim
  ☆58Updated last year
• DongkiKim95 / GDSS-Transformer
  Code Repository for GDSS using Graph Transformer
  ☆10Updated 10 months ago
• Mishne-Lab / IGNR
  Implementation of Implicit Graphon Neural Representation
  ☆12Updated last year