kekmodel / FixMatch-pytorchLinks
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
☆794Updated 2 years ago
Alternatives and similar repositories for FixMatch-pytorch
Users that are interested in FixMatch-pytorch are comparing it to the libraries listed below
Sorting:
- A simple method to perform semi-supervised learning with limited data.☆1,193Updated last year
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆652Updated 2 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆574Updated 5 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,366Updated 2 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆569Updated 5 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆453Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆695Updated 3 years ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆836Updated 3 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆638Updated 2 years ago
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆390Updated last year
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆606Updated 7 months ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆813Updated last year
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆760Updated 4 years ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆500Updated 3 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Updated 4 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300Updated 2 years ago
- code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Ad…☆478Updated last year
- ☆429Updated 4 years ago
- All about domain generalization☆842Updated 9 months ago
- mixup: Beyond Empirical Risk Minimization☆1,197Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆273Updated 2 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆651Updated 4 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆518Updated 4 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,220Updated 2 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆571Updated last year
- A Survey☆572Updated 2 years ago