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.
☆1,635Updated 9 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:
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,570Updated 11 months ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆761Updated 4 years ago
- Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.☆1,207Updated 3 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,600Updated 3 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,299Updated last month
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,531Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,479Updated 2 years ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,820Updated 10 months ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,257Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,980Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,241Updated 7 months ago
- This is a list of awesome methods about data augmentation.☆789Updated 4 years ago
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,483Updated 2 weeks ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆989Updated 7 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,040Updated 2 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,270Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,278Updated last year
- YACS -- Yet Another Configuration System☆1,311Updated 3 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,840Updated 11 months ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,139Updated 2 years ago
- Image Test Time Augmentation with PyTorch!☆1,011Updated last year
- pip install antialiased-cnns to improve stability and accuracy☆1,673Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,680Updated 2 weeks ago
- Unsupervised Data Augmentation (UDA)☆2,191Updated 3 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,283Updated last year
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,101Updated 2 years ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,541Updated 2 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,827Updated last year
- Official Pytorch implementation of CutMix regularizer☆1,239Updated 4 years ago