Alternatives and similar repositories for InfoDiffusion

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

• XzwHan / CARD
  Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
  ☆232Updated 2 years ago
• ganmodokix / gwae
  PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)
  ☆44Updated 2 years ago
• ThomasMrY / DisDiff
  [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
  ☆71Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆99Updated 2 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆39Updated last year
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆126Updated last year
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆103Updated last year
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆59Updated last year
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆57Updated 2 years ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆217Updated 2 years ago
• addtt / variational-diffusion-models
  PyTorch implementation of Variational Diffusion Models.
  ☆100Updated last year
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆60Updated 3 years ago
• FutureXiang / Diffusion
  Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)
  ☆62Updated 2 years ago
• jcwang-gh / classifier-free-diffusion-guidance-Pytorch
  a simple unofficial implementation of classifier-free diffusion guidance
  ☆207Updated 2 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆62Updated 3 years ago
• yuyang-shi / dsbm-pytorch
  PyTorch Implementation of Diffusion Schrodinger Bridge Matching
  ☆188Updated 9 months ago
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆54Updated last year
• tqch / poisson-jump
  Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
  ☆10Updated 2 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago
• aailab-kaist / DBAE
  [ICLR 2025 Spotlight] Official PyTorch implementation for Diffusion Bridge AutoEncoders for Unsupervised Representation Learning (DBAE).
  ☆36Updated 8 months ago
• tqch / ddpm-torch
  Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
  ☆219Updated last year
• ehoogeboom / multinomial_diffusion
  ☆229Updated 2 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆316Updated 4 years ago
• PythonOT / OTML_course_2022
  ☆10Updated 3 years ago
• alexzhou907 / DDBM
  ☆241Updated last year
• renhaa / semantic-diffusion
  ☆25Updated last year
• PatrickHua / FeatureDecorrelationSSL
  ☆17Updated 3 years ago
• milenagazdieva / ExtremalNeuralOptimalTransport
  PyTorch implementation of "Extremal Domain Translation with Neural Optimal Transport" (NeurIPS 2023)
  ☆20Updated 10 months ago
• ghliu / SB-FBSDE
  Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
  ☆87Updated 3 years ago
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆210Updated last year