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"
  ☆96Updated last year
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆76Updated last year
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆82Updated last year
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆180Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆70Updated 5 months ago
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• FutureXiang / soda
  Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
  ☆96Updated last year
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆31Updated 11 months ago
• Alokia / Idempotent-Generative-Network
  Idempotent Generative Network's unofficial pytorch implementation
  ☆46Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• MediaBrain-SJTU / Geometric-Harmonization
  [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
  ☆24Updated 4 months ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆74Updated 7 months ago
• 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
  ☆33Updated 7 months ago
• GuoQiushan / EGC
  ☆45Updated 2 years ago
• zhenzhel / lift_map_detect
  The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)
  ☆25Updated 2 years ago
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆34Updated last year
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆27Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆87Updated last year
• JegZheng / truncated-diffusion-probabilistic-models
  Pytorch implementation of TDPM
  ☆35Updated 2 years ago
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆38Updated last year
• LeapLabTHU / ProCo
  [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  ☆84Updated last year
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆41Updated 11 months ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆129Updated 2 years ago
• MediaBrain-SJTU / OC_LT
  Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024
  ☆14Updated last year
• daeunni / BECoTTA
  Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".
  ☆44Updated last year
• yzy1996 / Awesome-Generative-Model
  A collection of resources on Generative Model.
  ☆35Updated last year