KevinMusgrave / pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
☆6,014Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch-metric-learning
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,106Updated last year
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,020Updated 8 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,261Updated 8 months ago
- A PyTorch implementation of EfficientNet☆7,926Updated 2 years ago
- Count the MACs / FLOPs of your PyTorch model.☆4,888Updated 4 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,275Updated last month
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,107Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,137Updated this week
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,265Updated 8 months ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,799Updated last month
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,764Updated 4 months ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,122Updated 10 months ago
- Model interpretability and understanding for PyTorch☆4,935Updated this week
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,005Updated last year
- View model summaries in PyTorch!☆2,603Updated this week
- torch-optimizer -- collection of optimizers for Pytorch☆3,043Updated 7 months ago
- A small package to create visualizations of PyTorch execution graphs☆3,231Updated 7 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,524Updated this week
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,183Updated last month
- A collection of AWESOME things about domian adaptation☆5,119Updated last month
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,528Updated last week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,871Updated this week
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,199Updated last year
- Pytorch implementation of convolutional neural network visualization techniques☆7,869Updated 2 years ago
- PyTorch implementation of Contrastive Learning methods☆1,942Updated last year
- Official DeiT repository☆4,067Updated 8 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,695Updated 2 weeks ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,415Updated 2 weeks ago
- Geometric Computer Vision Library for Spatial AI☆9,978Updated this week
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆10,601Updated last month