kakaobrain / fast-autoaugmentLinks
Official Implementation of 'Fast AutoAugment' in PyTorch.
☆1,612Updated 4 years ago
Alternatives and similar repositories for fast-autoaugment
Users that are interested in fast-autoaugment are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,494Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,246Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆986Updated 6 months ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,045Updated 4 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆638Updated 2 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,168Updated last year
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,584Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,197Updated 4 years ago
- pip install antialiased-cnns to improve stability and accuracy☆1,677Updated last year
- Stochastic Weight Averaging in PyTorch☆977Updated 4 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆800Updated 5 years ago
- Synchronized Batch Normalization implementation in PyTorch.☆1,500Updated 4 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.☆1,536Updated last year
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Updated 5 years ago
- Efficient Learning of Augmentation Policy Schedules☆508Updated 6 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 5 years ago
- A CV toolkit for my papers.☆2,048Updated 11 months ago
- Classification with PyTorch.☆1,747Updated last year
- Weakly Supervised Learning On Images☆602Updated 4 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆699Updated 3 years ago
- My best practice of training large dataset using PyTorch.☆1,107Updated last year
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆885Updated 5 years ago
- In-Place Activated BatchNorm for Memory-Optimized Training of DNNs☆1,334Updated 5 months ago
- A New Optimization Technique for Deep Neural Networks☆541Updated 3 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆555Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆550Updated 3 years ago
- ☆1,145Updated 2 years ago