KevinMusgrave / pytorch-metric-learningLinks
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
☆6,304Updated 5 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☆3,170Updated 2 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,452Updated 2 years ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,327Updated last month
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,293Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,406Updated 2 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,115Updated last week
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,297Updated 2 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,161Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,064Updated last year
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,087Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,260Updated last year
- A curated list of awesome self-supervised methods☆6,361Updated last year
- Model interpretability and understanding for PyTorch☆5,556Updated last week
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,483Updated last year
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,871Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,395Updated 2 weeks ago
- A curated list of resources for Learning with Noisy Labels☆2,721Updated 9 months ago
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago
- A PyTorch implementation of EfficientNet☆8,220Updated 3 years ago
- Deep Clustering for Unsupervised Learning of Visual Features☆1,740Updated 4 years ago
- View model summaries in PyTorch!☆2,901Updated 2 weeks ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,910Updated 2 weeks ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,961Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,731Updated this week
- Official DeiT repository☆4,323Updated last year
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,754Updated 3 weeks ago
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,405Updated 2 weeks ago
- PyTorch deep learning projects made easy.☆5,091Updated last year
- Collection of common code that's shared among different research projects in FAIR computer vision team.☆2,224Updated last month
- Code for visualizing the loss landscape of neural nets☆3,153Updated 3 years ago