kekmodel / MPL-pytorchLinks
Unofficial PyTorch implementation of "Meta Pseudo Labels"
☆389Updated last year
Alternatives and similar repositories for MPL-pytorch
Users that are interested in MPL-pytorch are comparing it to the libraries listed below
Sorting:
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper☆775Updated 2 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆573Updated 5 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆792Updated 2 years ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆500Updated 3 years ago
- Self-supervised vIsion Transformer (SiT)☆338Updated 2 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated last year
- A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"☆567Updated 5 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112☆189Updated 4 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆663Updated 4 years ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆833Updated 3 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
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆338Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆273Updated 2 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆469Updated 4 years ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆213Updated 2 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆687Updated 3 years ago
- An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.☆238Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆803Updated last year
- A simple method to perform semi-supervised learning with limited data.☆1,181Updated last year
- Implementation of Visual Transformer for Small-size Datasets☆126Updated 3 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆433Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,246Updated 5 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
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆475Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated last year
- When Does Label Smoothing Help?_pytorch_implementationimp☆126Updated 5 years ago