Alternatives and similar repositories for HCL

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

• chingyaoc / DCL
  NeurIPS 2020, Debiased Contrastive Learning
  ☆282Updated 2 years ago
• ssnl / align_uniform
  Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…
  ☆445Updated 2 years ago
• salesforce / PCL
  PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
  ☆590Updated last month
• VainF / Awesome-Contrastive-Learning
  Awesome Contrastive Learning for CV & NLP
  ☆163Updated 3 years ago
• raminnakhli / Decoupled-Contrastive-Learning
  This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.
  ☆115Updated 3 years ago
• ContrastiveSR / Contrastive_Learning_Papers
  A list of contrastive Learning papers
  ☆305Updated 3 years ago
• salesforce / CoMatch
  Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
  ☆127Updated last month
• salesforce / hierarchicalContrastiveLearning
  ☆157Updated 3 years ago
• LiqunChen0606 / Graph-Optimal-Transport
  Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"
  ☆157Updated 4 years ago
• kibok90 / imix
  ICLR 2021 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
  ☆78Updated last year
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆133Updated 5 years ago
• microsoft / MLC
  Meta Label Correction for Noisy Label Learning
  ☆85Updated 2 years ago
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆205Updated last year
• Yunfan-Li / Contrastive-Clustering
  Code for the paper "Contrastive Clustering" (AAAI 2021)
  ☆317Updated 2 years ago
• htdt / self-supervised
  Whitening for Self-Supervised Representation Learning | Official repository
  ☆129Updated 2 years ago
• hbzju / PiCO
  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984
  ☆217Updated last year
• k-han / AutoNovel
  "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…
  ☆229Updated 5 years ago
• AlanChou / Truncated-Loss
  PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
  ☆128Updated 5 years ago
• facebookresearch / directclr
  Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
  ☆77Updated 2 years ago
• shengliu66 / ELR
  Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
  ☆295Updated 2 years ago
• Junya-Chen / FlatCLR
  FlatNCE: A Novel Contrastive Representation Learning Objective
  ☆90Updated 3 years ago
• salesforce / MoPro
  MoPro: Webly Supervised Learning
  ☆87Updated last month
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆93Updated 3 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 2 years ago
• LiJunnan1992 / DivideMix
  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
  ☆556Updated 4 years ago
• chingyaoc / RINCE
  CVPR 2022, Robust Contrastive Learning against Noisy Views
  ☆83Updated 3 years ago
• leaderj1001 / SimSiam
  Exploring Simple Siamese Representation Learning
  ☆60Updated 4 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆288Updated 3 years ago
• wangz10 / contrastive_loss
  Experiments with supervised contrastive learning methods with different loss functions
  ☆220Updated 2 years ago
• haochenglouis / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆34Updated 4 years ago