ufoym / imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
☆2,295Updated 2 weeks ago
Alternatives and similar repositories for imbalanced-dataset-sampler:
Users that are interested in imbalanced-dataset-sampler are comparing it to the libraries listed below
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,126Updated this week
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,232Updated 6 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,038Updated last year
- A learning rate range test implementation in PyTorch☆954Updated 4 months ago
- A PyTorch Implementation of Focal Loss.☆983Updated 5 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,103Updated last year
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,861Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,974Updated last year
- Codebase for Image Classification Research, written in PyTorch.☆2,154Updated last year
- mixup: Beyond Empirical Risk Minimization☆1,178Updated 3 years ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,384Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,279Updated last year
- Image Test Time Augmentation with PyTorch!☆1,008Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆988Updated 6 months ago
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,112Updated 4 months ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,602Updated 3 years ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,251Updated last year
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,836Updated 10 months ago
- Official Pytorch implementation of CutMix regularizer☆1,238Updated 4 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,479Updated last year
- Flops counter for neural networks in pytorch framework☆2,886Updated 3 months ago
- Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-…☆2,172Updated this week
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,033Updated 2 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,136Updated last year
- View model summaries in PyTorch!☆2,757Updated last week
- A curated list of resources for Learning with Noisy Labels☆2,679Updated 11 months ago
- My best practice of training large dataset using PyTorch.☆1,097Updated 11 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,719Updated 2 weeks ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,536Updated last month
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆796Updated last year