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.
☆1,635Updated 10 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
Sorting:
- Sandbox for training deep learning networks☆3,011Updated 9 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,604Updated 4 years ago
- A curated list of resources for Learning with Noisy Labels☆2,681Updated last month
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,485Updated 2 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,305Updated 2 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,045Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,240Updated 4 years ago
- PyTorch implementation of Contrastive Learning methods☆1,985Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,284Updated last year
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,572Updated last year
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,547Updated last week
- mixup: Beyond Empirical Risk Minimization☆1,182Updated 3 years ago
- Image Test Time Augmentation with PyTorch!☆1,015Updated last year
- This is a list of awesome methods about data augmentation.☆791Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated last month
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,268Updated 2 years ago
- A learning rate range test implementation in PyTorch☆969Updated last week
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆990Updated 8 months ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,244Updated 8 months ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆799Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,154Updated last year
- ResNeSt: Split-Attention Networks☆3,257Updated 2 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,842Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,409Updated last year
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Updated 4 years ago
- A state-of-the-art semi-supervised method for image recognition☆1,626Updated 4 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,302Updated 2 years ago
- Lists the papers related to imbalance problems in object detection [TPAMI]☆1,129Updated 3 years ago
- A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.☆905Updated last year
- A curated list of awesome self-supervised methods☆6,293Updated 11 months ago