Alternatives and similar repositories for MMCL

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

• 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
• m-Just / OoD-Bench
  ☆44Updated 2 months ago
• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• tmllab / 2021_NeurIPS_PES
  ☆29Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆91Updated 4 years ago
• zhangq327 / ARC
  Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
  ☆28Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆78Updated last year
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆77Updated 2 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆26Updated 2 years ago
• RenkunNi / MetaAug
  ☆28Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆85Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year
• Johswald / learning_where_to_learn
  ☆38Updated 7 months ago
• HC-Feynman / vpu
  A PyTorch implementation of the Variational approach for PU learning
  ☆29Updated 4 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆28Updated last year
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• jhaochenz96 / spectral_contrastive_learning
  ☆22Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• salesforce / RRL
  ☆17Updated last month
• mingkai-zheng / WCL
  Weakly Supervised Contrastive Learning
  ☆41Updated 3 years ago
• thuml / Debiased-Self-Training
  Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)
  ☆53Updated 2 years ago
• yanyanSann / Long-Tailed-Classification-Leaderboard
  ☆29Updated 4 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago