facebookresearch / mixup-cifar10Links
mixup: Beyond Empirical Risk Minimization
☆1,197Updated 4 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"☆802Updated last year
- Official Pytorch implementation of CutMix regularizer☆1,246Updated 5 years ago
- Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"☆653Updated 2 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆638Updated 2 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
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆866Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆993Updated last year
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆554Updated 5 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,494Updated 2 years ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆613Updated 4 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆693Updated 3 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆495Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆987Updated 6 months ago
- Pytorch implementation of Center Loss☆992Updated 2 years ago
- Stochastic Weight Averaging in PyTorch☆977Updated 4 years ago
- A PyTorch Implementation of Focal Loss.☆990Updated 6 years ago
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,334Updated 5 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆757Updated 4 years ago
- ☆1,145Updated 2 years ago
- Implementation of the mixup training method☆470Updated 7 years ago
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆739Updated 6 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆800Updated 5 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- Classification with PyTorch.☆1,748Updated last year
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆795Updated 2 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆478Updated 5 years ago
- A simple method to perform semi-supervised learning with limited data.☆1,189Updated last year
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 3 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,114Updated 2 years ago