AgaMiko / data-augmentation-reviewLinks
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
☆1,639Updated last year
Alternatives and similar repositories for data-augmentation-review
Users that are interested in data-augmentation-review are comparing it to the libraries listed below
Sorting:
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,853Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,325Updated 2 weeks ago
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,615Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,495Updated 2 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Updated last year
- This is a list of awesome methods about data augmentation.☆795Updated 4 years ago
- mixup: Beyond Empirical Risk Minimization☆1,198Updated 4 years ago
- A curated list of resources for Learning with Noisy Labels☆2,720Updated 8 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,088Updated 2 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆764Updated 4 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,167Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,298Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,258Updated last year
- A simple method to perform semi-supervised learning with limited data.☆1,200Updated last year
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,531Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Updated 7 months ago
- A learning rate range test implementation in PyTorch☆997Updated 6 months ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆743Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,249Updated 5 years ago
- Sandbox for training deep learning networks☆3,020Updated last year
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆805Updated last year
- Image Test Time Augmentation with PyTorch!☆1,028Updated 2 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,582Updated last year
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,295Updated 5 months ago
- My best practice of training large dataset using PyTorch.☆1,105Updated last year
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆911Updated 2 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,740Updated 4 years ago
- Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.☆1,538Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated last year