Alternatives and similar repositories for CHARMS

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

• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• UNITES-Lab / Flex-MoE
  [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"
  ☆52Updated 7 months ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆24Updated last year
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated last week
• QingyangZhang / CML
  offical implementation of "Calibrating Multimodal Learning" on ICML 2023
  ☆21Updated 2 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆40Updated last year
• pengr / Energy_AutoEval
  Our code for ICLR'24 paper "Energy-based Automated Model Evaluation".
  ☆18Updated 3 months ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆55Updated 10 months ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆50Updated 2 years ago
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆18Updated last year
• Hhhhhhao / Noisy-Model-Learning
  ☆35Updated last year
• Wuyxin / DISC
  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
  ☆41Updated last year
• m-Just / OoD-Bench
  ☆44Updated last month
• Hhhhhhao / General-Framework-Weak-Supervision
  This repo provides the codebase for "A General Framework for Weak Supervision"
  ☆37Updated last year
• 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
• pandeydeep9 / EvidentialResearch2023
  Analysis of evidential models
  ☆13Updated last year
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆61Updated last year
• aaronhan223 / FuseMoE
  Implementation of FuseMoE for FlexiModal Fusion, NeurIPS'24
  ☆22Updated 2 months ago
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆25Updated last year
• Ray-rui / Dist-PU-Positive-Unlabeled-Learning-from-a-Label-Distribution-Perspective
  PyTorch implementation of Dist-PU (CVPR 2022)
  ☆25Updated 2 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆28Updated last year
• MediaBrain-SJTU / LoRKD
  ☆24Updated 6 months ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• hbzju / SoLar
  Source code for NeurIPS 2022 paper SoLar
  ☆29Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago