KevinMusgrave / pytorch-metric-learningLinks
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
☆6,267Updated 3 months ago
Alternatives and similar repositories for pytorch-metric-learning
Users that are interested in pytorch-metric-learning are comparing it to the libraries listed below
Sorting:
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,162Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,154Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,324Updated 2 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,065Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,291Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,371Updated 3 weeks ago
- A curated list of awesome self-supervised methods☆6,344Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,391Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,410Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,481Updated this week
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,215Updated 5 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,716Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,304Updated last week
- A curated list of resources for Learning with Noisy Labels☆2,720Updated 7 months ago
- A PyTorch implementation of EfficientNet☆8,199Updated 3 years ago
- Official DeiT repository☆4,291Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,257Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,469Updated 11 months ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,293Updated 2 years ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,750Updated last month
- Codebase for Image Classification Research, written in PyTorch.☆2,168Updated last year
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,101Updated 2 months ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,085Updated 2 years ago
- PyTorch deep learning projects made easy.☆5,048Updated last year
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,945Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,865Updated this week
- List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and …☆1,645Updated last year
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,855Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,467Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago