KevinMusgrave / pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
☆6,096Updated 2 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
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,908Updated 2 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,269Updated last year
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,197Updated last year
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,205Updated last year
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,333Updated 11 months ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,229Updated last year
- Siamese and triplet networks with online pair/triplet mining in PyTorch☆3,123Updated last year
- Model interpretability and understanding for PyTorch☆5,094Updated this week
- Official DeiT repository☆4,147Updated 11 months ago
- A curated list of awesome self-supervised methods☆6,230Updated 8 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,286Updated last month
- PyTorch implementation of Contrastive Learning methods☆1,961Updated last year
- A PyTorch implementation of EfficientNet☆8,031Updated 2 years ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,033Updated last year
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆11,205Updated last month
- torch-optimizer -- collection of optimizers for Pytorch☆3,087Updated 11 months ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,213Updated 4 months ago
- Count the MACs / FLOPs of your PyTorch model.☆4,962Updated 7 months ago
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆14,641Updated this week
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆33,320Updated last week
- Code for visualizing the loss landscape of neural nets☆2,924Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,149Updated 11 months ago
- A collection of AWESOME things about domian adaptation☆5,203Updated 4 months ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,543Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,772Updated 3 weeks ago
- Code release for ConvNeXt model☆5,889Updated 2 years ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,839Updated last year
- PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882☆2,026Updated last year
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,057Updated 2 years ago
- PyTorch deep learning projects made easy.☆4,854Updated 9 months ago