jacobgil / pytorch-grad-camLinks
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
☆12,145Updated 5 months ago
Alternatives and similar repositories for pytorch-grad-cam
Users that are interested in pytorch-grad-cam are comparing it to the libraries listed below
Sorting:
- Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-…☆2,255Updated this week
- A PyTorch implementation of EfficientNet☆8,156Updated 3 years ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆35,250Updated this week
- Code release for ConvNeXt model☆6,119Updated 2 years ago
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆15,185Updated last year
- Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.☆10,881Updated this week
- Pytorch implementation of convolutional neural network visualization techniques☆8,095Updated 8 months ago
- OpenMMLab Pre-training Toolbox and Benchmark☆3,740Updated 10 months ago
- OpenMMLab Computer Vision Foundation☆6,242Updated 4 months ago
- Count the MACs / FLOPs of your PyTorch model.☆5,046Updated last year
- OpenMMLab Semantic Segmentation Toolbox and Benchmark.☆9,228Updated last year
- Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)☆3,528Updated 8 months ago
- Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.☆4,305Updated 6 months ago
- ☆11,758Updated 6 months ago
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆23,918Updated 3 weeks ago
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,275Updated 2 years ago
- Official DeiT repository☆4,259Updated last year
- A collection of loss functions for medical image segmentation☆3,947Updated last year
- RepVGG: Making VGG-style ConvNets Great Again☆3,418Updated 2 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,098Updated 3 years ago
- [ICCV 2017] Torch code for Grad-CAM☆1,589Updated 2 years ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,055Updated 2 months ago
- OpenMMLab Detection Toolbox and Benchmark☆31,651Updated last year
- PyTorch implementation of the U-Net for image semantic segmentation with high quality images☆10,525Updated last year
- Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125☆15,137Updated 2 months ago
- Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆2,073Updated 3 years ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,227Updated 3 weeks ago
- End-to-End Object Detection with Transformers☆14,670Updated last year
- Deformable DETR: Deformable Transformers for End-to-End Object Detection.☆3,702Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,249Updated 10 months ago