Alternatives and similar repositories for FDAE:

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

• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆24Updated 11 months ago
• ThomasMrY / DisDiff
  [NeurIPS 2023] code for "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models
  ☆60Updated last year
• JegZheng / truncated-diffusion-probabilistic-models
  Pytorch implementation of TDPM
  ☆34Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆80Updated last year
• JindongJiang / latent-slot-diffusion
  Official Release of NeurIPS 2023 Spotlight paper "Object-Centric Slot Diffusion"
  ☆63Updated 11 months ago
• WuYichen-97 / Meta-Continual-Learning-Revisited-ICLR2024
  [ICLR 24 Oral/Outstanding Paper Honorable Mention Award 🎉]
  ☆30Updated 9 months ago
• ZGCTroy / ED-DPM
  ☆43Updated 2 years ago
• khainb / EBSW
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆18Updated 11 months ago
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆49Updated 8 months ago
• AlexGraikos / diffusion_priors
  Using pre-trained Diffusion models as priors for inference tasks
  ☆196Updated 2 years ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆73Updated 3 months ago
• isjakewong / InfoDiffusion
  InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
  ☆24Updated last month
• Wuziyi616 / SlotDiffusion
  Code release for NeurIPS 2023 paper SlotDiffusion: Object-centric Learning with Diffusion Models
  ☆82Updated last year
• YuLiu-LY / BO-QSA
  This repository is the official implementation of Improving Object-centric Learning With Query Optimization
  ☆50Updated last year
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆159Updated 11 months ago
• ThomasMrY / VCT
  [NeurIPS 2022] code for "Visual Concepts Tokenization"
  ☆21Updated 2 years ago
• xinliu20 / MEC
  ☆41Updated 2 years ago
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆22Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆64Updated 3 weeks ago
• BastianChen / ddpm-demo-pytorch
  PyTorch implementation of DDPM Demo and Classifier-Free DDPM Demo. Experiments were conducted on MNIST and Cifar10 datasets.
  ☆24Updated last year
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆57Updated last year
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆82Updated 10 months ago
• huijieZH / Diffusion-Model-Generalizability
  ☆22Updated 3 months ago
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• UW-Madison-Lee-Lab / SFT-PG
  Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023
  ☆27Updated last year
• plai-group / flexible-video-diffusion-modeling
  ☆115Updated 2 years ago
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆48Updated 2 years ago
• Wang-pengfei / SAGM
  The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
  ☆71Updated last year
• ZibinDong / diffusion_models_minimal_tutorial
  ☆19Updated 11 months ago
• facebookresearch / RCDM
  Visualizing representations with diffusion based conditional generative model.
  ☆89Updated last year