kakaobrain / fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
☆1,596Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for fast-autoaugment
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,466Updated last year
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,033Updated 3 years ago
- Official Pytorch implementation of CutMix regularizer☆1,221Updated 4 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,566Updated 5 months ago
- Unofficial PyTorch Reimplementation of RandAugment.☆628Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆980Updated 3 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,139Updated 8 months ago
- pip install antialiased-cnns to improve stability and accuracy☆1,661Updated 7 months ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆753Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆977Updated last month
- mixup: Beyond Empirical Risk Minimization☆1,168Updated 3 years ago
- A CV toolkit for my papers.☆2,041Updated 5 months ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,532Updated 4 years ago
- Efficient Learning of Augmentation Policy Schedules☆505Updated 5 years ago
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆787Updated 4 years ago
- Synchronized Batch Normalization implementation in PyTorch.☆1,501Updated 3 years ago
- Image Test Time Augmentation with PyTorch!☆978Updated last year
- 🛠 Toolbox to extend PyTorch functionalities☆417Updated 6 months ago
- My best practice of training large dataset using PyTorch.☆1,086Updated 6 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆785Updated 9 months ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆849Updated 2 years ago
- Standardizing weights to accelerate micro-batch training☆546Updated 2 years ago
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆716Updated 5 years ago
- Stochastic Weight Averaging in PyTorch☆966Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆588Updated 4 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,589Updated 4 years ago
- Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.☆1,513Updated 3 months ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆867Updated 4 years ago
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆880Updated 4 years ago
- ResNeSt: Split-Attention Networks☆3,238Updated last year