YU1ut / MixMatch-pytorchLinks
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
☆653Updated 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:
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆686Updated 3 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆792Updated 2 years ago
- PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch☆450Updated 2 years ago
- A curated list of long-tailed recognition resources.☆586Updated 2 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆570Updated 5 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,192Updated 3 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 4 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆758Updated 4 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆340Updated 6 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆514Updated 4 years ago
- [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation …☆569Updated last year
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆668Updated 2 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,178Updated last year
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Updated 3 years ago
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆565Updated 5 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆756Updated 4 years ago
- ☆574Updated 3 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆493Updated last year
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆833Updated 3 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆647Updated 3 years ago
- Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020☆596Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆236Updated 4 years ago
- A PyTorch implementation for Adversarial Discriminative Domain Adaptation☆488Updated 3 years ago
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆591Updated 4 years ago
- A collection of implementations of adversarial domain adaptation algorithms☆637Updated 4 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,360Updated 2 years ago