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.
☆1,644Updated 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:
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,323Updated 2 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,613Updated 4 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,853Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,720Updated 7 months ago
- This is a list of awesome methods about data augmentation.☆795Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,495Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,259Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆987Updated 7 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,167Updated last year
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆805Updated last year
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,286Updated 4 months ago
- A learning rate range test implementation in PyTorch☆994Updated 6 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,159Updated last year
- 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.☆909Updated 2 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,291Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,196Updated 4 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,645Updated 2 years ago
- Some custom dataset examples for PyTorch☆873Updated 5 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,044Updated 4 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,737Updated 4 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,298Updated 2 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,085Updated 2 years ago
- Sandbox for training deep learning networks☆3,019Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,579Updated this week
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated last year
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,583Updated last year
- A best practice for deep learning project template architecture.☆1,385Updated 6 years ago