kekmodel / FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
☆766Updated last year
Alternatives and similar repositories for FixMatch-pytorch:
Users that are interested in FixMatch-pytorch are comparing it to the libraries listed below
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆641Updated last year
- A simple method to perform semi-supervised learning with limited data.☆1,120Updated 5 months ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,317Updated last year
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆547Updated 4 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆446Updated last year
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆653Updated 3 years ago
- A curated list of long-tailed recognition resources.☆585Updated last year
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆954Updated 3 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆546Updated 4 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆631Updated last year
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆820Updated 2 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆851Updated 2 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆770Updated 7 months ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆740Updated 3 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,173Updated last year
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆234Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆787Updated 11 months ago
- PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"☆576Updated 2 years ago
- A Survey☆546Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆480Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,952Updated last year
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆495Updated 3 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆266Updated last year
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆562Updated 5 months ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆292Updated last year
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆387Updated last year
- All about domain generalization☆833Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,307Updated 10 months ago
- A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).☆520Updated last month
- mixup: Beyond Empirical Risk Minimization☆1,170Updated 3 years ago