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.
☆1,629Updated 7 months ago
Alternatives and similar repositories for data-augmentation-review:
Users that are interested in data-augmentation-review are comparing it to the libraries listed below
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,276Updated last year
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,822Updated 10 months ago
- A curated list of awesome self-supervised methods☆6,244Updated 8 months ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,480Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,665Updated 10 months ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,531Updated 4 years ago
- PyTorch implementation of Contrastive Learning methods☆1,969Updated last year
- A simple method to perform semi-supervised learning with limited data.☆1,138Updated 7 months ago
- Pytorch implementation of convolutional neural network visualization techniques☆7,980Updated 2 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,601Updated 3 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,028Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,177Updated 3 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,151Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,291Updated 2 months ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,568Updated 9 months ago
- A learning rate range test implementation in PyTorch☆950Updated 3 months ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,472Updated last month
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,107Updated 3 months ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,039Updated 3 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,799Updated 8 months ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,227Updated last year
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,130Updated last year
- A collection of AWESOME things about domian adaptation☆5,234Updated 5 months ago
- A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights☆1,614Updated 6 months ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,263Updated 6 months ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆759Updated 4 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,224Updated 5 months ago
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆892Updated last year
- Official DeiT repository☆4,165Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,237Updated last year