AgaMiko / data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
☆1,610Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for data-augmentation-review
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,274Updated last month
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,591Updated 3 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,015Updated 8 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,137Updated 7 months ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,176Updated 3 weeks ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,463Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,169Updated 3 years ago
- A curated list of resources for Learning with Noisy Labels☆2,638Updated 6 months ago
- A simple way to calibrate your neural network.☆1,098Updated 3 years ago
- A curated list of awesome self-supervised methods☆6,159Updated 4 months ago
- YACS -- Yet Another Configuration System☆1,277Updated 2 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,007Updated last week
- Deep Clustering for Unsupervised Learning of Visual Features☆1,682Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆980Updated 3 months ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,532Updated 3 years ago
- Sandbox for training deep learning networks☆2,971Updated 2 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆784Updated 8 months ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,107Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,197Updated last year
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,032Updated 3 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,565Updated 4 months ago
- PyTorch implementation of Contrastive Learning methods☆1,939Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,257Updated 8 months ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,791Updated 5 months ago
- A learning rate range test implementation in PyTorch☆922Updated last month
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,006Updated last year
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,796Updated 8 months ago
- ResNeSt: Split-Attention Networks☆3,236Updated last year
- A CV toolkit for my papers.☆2,040Updated 5 months ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,017Updated 3 weeks ago