Alternatives and similar repositories for CBDM-pytorch

Users that are interested in CBDM-pytorch 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
  ☆31Updated last year
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆95Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆70Updated 6 months ago
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆181Updated last year
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆83Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆76Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆41Updated 2 years ago
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆96Updated last year
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆28Updated last year
• GuoQiushan / EGC
  ☆45Updated 2 years ago
• JegZheng / truncated-diffusion-probabilistic-models
  Pytorch implementation of TDPM
  ☆35Updated 2 years ago
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆31Updated last year
• Coxy7 / robust-finetuning
  Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)
  ☆15Updated 2 years ago
• MediaBrain-SJTU / Geometric-Harmonization
  [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
  ☆24Updated 5 months ago
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• SHI-Labs / Diffusion-Driven-Test-Time-Adaptation-via-Synthetic-Domain-Alignment
  Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment, arXiv 2024 / CVPR 2025
  ☆34Updated 7 months ago
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆88Updated last year
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆34Updated last year
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆100Updated last year
• huanranchen / DiffusionClassifier
  Official code implement of Robust Classification via a Single Diffusion Model
  ☆93Updated 7 months ago
• CVMI-Lab / SyntheticData
  Is synthetic data from generative models ready for image recognition?
  ☆184Updated 2 years ago
• Jianglin954 / Awesome-papers-in-the-fileds-of-CV-ML-PR-DM
  This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern rec…
  ☆14Updated last year
• Alokia / Idempotent-Generative-Network
  Idempotent Generative Network's unofficial pytorch implementation
  ☆46Updated last year
• LeapLabTHU / ProCo
  [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  ☆86Updated last year
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.
  ☆94Updated last week
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆74Updated 8 months ago
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆43Updated 11 months ago
• diffusion-classifier / diffusion-classifier
  Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
  ☆473Updated last year