facebookresearch / mixup-cifar10Links
mixup: Beyond Empirical Risk Minimization
☆1,185Updated 3 years ago
Alternatives and similar repositories for mixup-cifar10
Users that are interested in mixup-cifar10 are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,242Updated 4 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated 9 months ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆975Updated 3 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,489Updated 2 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆990Updated 2 months ago
- A PyTorch Implementation of Focal Loss.☆986Updated 5 years ago
- Pytorch implementation of Center Loss☆992Updated 2 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,324Updated 4 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Updated 4 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆755Updated 4 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆797Updated 5 years ago
- Classification with PyTorch.☆1,735Updated last year
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆830Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆550Updated 5 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆684Updated 3 years ago
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆733Updated 6 years ago
- Stochastic Weight Averaging in PyTorch☆973Updated 4 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,634Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆790Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,987Updated last year
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆764Updated 4 years ago
- ☆1,141Updated 2 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,171Updated last year
- Implementation of the mixup training method☆466Updated 7 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.☆788Updated last year