Alternatives and similar repositories for CBDM-pytorch:

Users that are interested in CBDM-pytorch are comparing it to the libraries listed below

• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆89Updated last year
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆77Updated last year
• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆25Updated last year
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆69Updated last year
• soumik-kanad / diffssl
  Code for the paper "Do text-free diffusion models learn discriminative visual representations?"
  ☆24Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆45Updated last year
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆28Updated 5 months ago
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆80Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• LeapLabTHU / ProCo
  [TPAMI 2024] Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
  ☆76Updated 5 months ago
• JegZheng / truncated-diffusion-probabilistic-models
  Pytorch implementation of TDPM
  ☆34Updated 2 years ago
• Alokia / Idempotent-Generative-Network
  Idempotent Generative Network's unofficial pytorch implementation
  ☆45Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆34Updated 11 months ago
• MediaBrain-SJTU / Geometric-Harmonization
  [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
  ☆22Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆67Updated 2 months ago
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆162Updated last year
• gqk / LAE
  [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
  ☆78Updated 5 months ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆177Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆91Updated last year
• GeorgeCazenavette / glad
  ☆113Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆64Updated last month
• princetonvisualai / multimodal_dataset_distillation
  ☆53Updated 2 months ago
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆36Updated 5 months ago
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆33Updated 4 months ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆58Updated last year
• shogi880 / DPLCLIP
  ☆49Updated last year
• Gorilla-Lab-SCUT / TTAC
  [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
  ☆47Updated 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
  ☆23Updated 3 weeks ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆77Updated 5 months ago
• Oliver-FutureAI / Awesome-MoE
  Awesome list of Mixture-of-Experts (MoE)
  ☆18Updated 9 months ago