YU1ut / MixMatch-pytorch
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
☆647Updated last year
Alternatives and similar repositories for MixMatch-pytorch
Users that are interested in MixMatch-pytorch are comparing it to the libraries listed below
Sorting:
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆450Updated 2 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆782Updated 2 years ago
- A curated list of long-tailed recognition resources.☆584Updated last year
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆969Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆556Updated 4 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆670Updated 3 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆637Updated 2 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆797Updated last year
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆753Updated 4 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,152Updated 9 months ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆568Updated 9 months ago
- ☆1,139Updated 2 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆609Updated 3 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆337Updated 6 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆472Updated 3 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆493Updated last year
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆861Updated 2 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,342Updated last year
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆387Updated last year
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆589Updated 4 years ago
- mixup: Beyond Empirical Risk Minimization☆1,178Updated 3 years ago
- Implementation of the mixup training method☆466Updated 6 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆557Updated 4 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆751Updated 4 years ago
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"☆368Updated 2 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆504Updated 3 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆233Updated 3 years ago