Alternatives and similar repositories for COT

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

• zhuohuangai / HOOD
  Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
  ☆13Updated 2 years ago
• zzzx1224 / EBTSA-ICLR2023
  ☆11Updated 7 months ago
• AiMl-hub / UPLM
  Uncertainty-Guided Pseudo-Labelling with Model Averaging
  ☆11Updated 11 months ago
• deeplearning-wisc / hypo
  ☆17Updated last year
• JintongGao / Enhancing-Minority-Classes-by-Mixing
  Code of Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
  ☆11Updated last year
• DandanGuo1993 / reweight-imbalance-classification-with-OT
  ☆13Updated 2 years ago
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• heliossun / STLLaVA-Med
  Self-training LLaVA for medical
  ☆16Updated 10 months ago
• batmanlab / ICML-2023-Route-interpret-repeat
  [ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repe…
  ☆25Updated last month
• QizhouWang / DOE
  ☆26Updated 2 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆42Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• Wuyxin / DISC
  (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  ☆42Updated last year
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆25Updated 2 years ago
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆51Updated last year
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated last year
• danruod / IEDL
  [ICML 2023] Offical implementation of the paper "Uncertainty Estimation by Fisher Information-based Evidential Deep Learning".
  ☆43Updated 2 years ago
• shengliu66 / LC
  Official Implementation of Avoiding spurious correlations via logit correction
  ☆17Updated 2 years ago
• yaodongyu / ProjNorm
  Predicting Out-of-Distribution Error with the Projection Norm
  ☆19Updated 3 years ago
• Trustworthy-ML-Lab / Label-free-CBM
  [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…
  ☆112Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• JonathanCrabbe / CARs
  This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…
  ☆13Updated 2 years ago
• saurabhgarg1996 / ATC_code
  Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022
  ☆11Updated 2 years ago
• abonte / protopdebug
  Implementation of Concept-level Debugging of Part-Prototype Networks
  ☆12Updated 2 years ago
• WANGXinyiLinda / causal-balancing-for-domain-generalization
  This is the official repository for the ICLR 2023 paper Causal Balancing for Domain Generalization
  ☆12Updated 2 years ago
• PKU-ML / CLIP-Help-SimCLR
  Official Code for ICML 2023 Paper: On the Generalization of Multi-modal Contrastive Learning
  ☆26Updated last year
• invictus717 / UniDG
  Towards Unified and Effective Domain Generalization
  ☆31Updated last year
• jamestszhim / adaptive_augment
  ☆13Updated 3 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆45Updated 2 years ago