KevinMusgrave / pytorch-metric-learningLinks
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
☆6,295Updated 4 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:
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,326Updated last week
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,431Updated 2 years ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,401Updated 2 years ago
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,164Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,159Updated last year
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,110Updated 3 months ago
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,477Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,300Updated 2 years ago
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,392Updated last week
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,088Updated 2 years ago
- A curated list of resources for Learning with Noisy Labels☆2,721Updated 8 months ago
- A curated list of awesome self-supervised methods☆6,358Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,723Updated last week
- List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and …☆1,639Updated last year
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,215Updated this week
- A PyTorch implementation of EfficientNet☆8,209Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,524Updated this week
- Codebase for Image Classification Research, written in PyTorch.☆2,167Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,066Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,754Updated last week
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,868Updated last year
- Deep Clustering for Unsupervised Learning of Visual Features☆1,740Updated 4 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,258Updated last year
- Official DeiT repository☆4,311Updated last year
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,955Updated last year
- solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning☆1,541Updated last month
- A small package to create visualizations of PyTorch execution graphs☆3,482Updated last year
- View model summaries in PyTorch!☆2,891Updated 3 weeks ago