ufoym / imbalanced-dataset-samplerLinks
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
☆2,322Updated last month
Alternatives and similar repositories for imbalanced-dataset-sampler
Users that are interested in imbalanced-dataset-sampler are comparing it to the libraries listed below
Sorting:
- A learning rate range test implementation in PyTorch☆991Updated 5 months ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,256Updated last year
- A PyTorch Implementation of Focal Loss.☆990Updated 6 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆993Updated last year
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,494Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,194Updated 4 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,159Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,153Updated last year
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆802Updated last year
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,609Updated 4 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,255Updated 3 months ago
- A curated list of resources for Learning with Noisy Labels☆2,719Updated 6 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,852Updated last year
- Image Test Time Augmentation with PyTorch!☆1,026Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,165Updated last year
- List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and …☆1,644Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,995Updated 2 years ago
- A simple way to calibrate your neural network.☆1,167Updated 4 months ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,387Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,064Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,291Updated last year
- Official Pytorch implementation of CutMix regularizer☆1,246Updated 5 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,463Updated last year
- Early stopping for PyTorch☆1,270Updated last year
- PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)☆799Updated 5 years ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,561Updated last month
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 5 months ago
- Some custom dataset examples for PyTorch☆870Updated 5 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,085Updated 2 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago