Alternatives and similar repositories for CoSSL:

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

• BeierZhu / xERM
  [AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tail…
  ☆33Updated 3 years ago
• JoyHuYY1412 / Class_Imbalanced_Semi_Supervised_Learning
  ☆17Updated 2 years ago
• sungnyun / openssl-simcore
  (CVPR 2023) Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
  ☆28Updated last year
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated last year
• jacobswan1 / SEED
  ☆36Updated 3 years ago
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆36Updated 3 years ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 3 years ago
• Wangt-CN / EqInv
  [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"
  ☆18Updated 2 years ago
• haohang96 / bingo
  Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)
  ☆33Updated 2 years ago
• deeplearning-wisc / large_scale_ood
  MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
  ☆91Updated 3 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated 2 years ago
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆39Updated 11 months ago
• ChangyaoTian / VL-LTR
  VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
  ☆68Updated 2 years ago
• BIT-DA / MetaSAug
  [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
  ☆62Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆65Updated 3 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 years ago
• chrysts / geodesic_continual_learning
  This is a public repository for:
  ☆38Updated 3 years ago
• tmllab / 2021_NeurIPS_PES
  ☆29Updated 2 years ago
• dvirsamuel / DRO-LT
  Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"
  ☆29Updated 3 years ago
• ytaek-oh / daso
  Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.
  ☆71Updated 2 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆39Updated 3 years ago
• ShipengWang / Adam-NSCL
  PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
  ☆59Updated 3 years ago
• tonyhuang2022 / UPL
  This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).
  ☆114Updated 3 years ago
• snap-stanford / orca
  [ICLR 2022] Open-World Semi-Supervised Learning
  ☆98Updated 3 years ago
• Yujun-Shi / CwD
  Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning…
  ☆34Updated 2 years ago
• VisionLearningGroup / OP_Match
  ☆58Updated last year
• asrafulashiq / transfer_broad
  Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
  ☆36Updated 3 years ago