Alternatives and similar repositories for Awesome-papers-in-the-fileds-of-CV-ML-PR-DM

Users that are interested in Awesome-papers-in-the-fileds-of-CV-ML-PR-DM are comparing it to the libraries listed below

• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆83Updated last year
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆54Updated last year
• Jianglin954 / LGI-LS
  [NeurIPS 2023] Latent Graph Inference with Limited Supervision
  ☆15Updated 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
• FutureXiang / ddae
  [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
  ☆182Updated last year
• gqk / LAE
  [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
  ☆88Updated last year
• MediaBrain-SJTU / BCL
  [ICML2022] Contrastive Learning with Boosted Memorization
  ☆112Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆88Updated last year
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆196Updated 2 years ago
• CVMI-Lab / SyntheticData
  Is synthetic data from generative models ready for image recognition?
  ☆184Updated 2 years ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆51Updated 2 years ago
• RuoyuChen10 / SMDL-Attribution
  [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
  ☆85Updated last week
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆133Updated 2 years ago
• wyzjack / SLA2P
  [TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.
  ☆40Updated 10 months ago
• wyzjack / MRMGA4VAD
  [ICDM 2022] Making Reconstruction-based Method Great Again for Video Anomaly Detection (PyTorch)
  ☆40Updated last year
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆95Updated last year
• yuz1wan / video_distillation
  Official implementation of Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement.
  ☆30Updated last year
• yasserben / DATUM
  [CVPR-W 2023] Official Implementation of One-shot Unsupervised Domain Adaptation with Personalized Diffusion Models
  ☆78Updated last year
• virajprabhu / LANCE
  LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  ☆32Updated last year
• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆31Updated last year
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆71Updated last year
• Coxy7 / robust-finetuning
  Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)
  ☆15Updated 2 years ago
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆39Updated last year
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆54Updated 2 years ago
• Wang-pengfei / SAGM
  The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
  ☆78Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆71Updated 6 months ago
• Yangsenqiao / vida
  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  ☆70Updated last year
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆41Updated last year
• MediaBrain-SJTU / Geometric-Harmonization
  [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
  ☆24Updated 5 months ago