Alternatives and similar repositories for grad-cam:

Users that are interested in grad-cam are comparing it to the libraries listed below

• zhoubolei / CAM
  Class Activation Mapping
  ☆1,852Updated 2 years ago
• kazuto1011 / grad-cam-pytorch
  PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
  ☆793Updated 5 years ago
• frgfm / torch-cam
  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-…
  ☆2,110Updated last week
• 1Konny / gradcam_plus_plus-pytorch
  A Simple pytorch implementation of GradCAM and GradCAM++
  ☆368Updated 5 years ago
• jacobgil / keras-grad-cam
  An implementation of Grad-CAM with keras
  ☆662Updated 5 years ago
• DeepVoltaire / AutoAugment
  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
  ☆1,478Updated last year
• yizt / Grad-CAM.pytorch
  pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
  ☆741Updated 4 years ago
• bearpaw / pytorch-classification
  Classification with PyTorch.
  ☆1,712Updated 8 months ago
• moskomule / senet.pytorch
  PyTorch implementation of SENet
  ☆2,303Updated 3 years ago
• bamos / densenet.pytorch
  A PyTorch implementation of DenseNet.
  ☆837Updated 6 years ago
• zhanghang1989 / PyTorch-Encoding
  A CV toolkit for my papers.
  ☆2,048Updated 2 months ago
• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,172Updated 3 years ago
• clovaai / CutMix-PyTorch
  Official Pytorch implementation of CutMix regularizer
  ☆1,226Updated 4 years ago
• Jongchan / attention-module
  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
  ☆2,104Updated last year
• hujie-frank / SENet
  Squeeze-and-Excitation Networks
  ☆3,448Updated 5 years ago
• zhunzhong07 / Random-Erasing
  Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
  ☆725Updated last year
• CuriousAI / mean-teacher
  A state-of-the-art semi-supervised method for image recognition
  ☆1,602Updated 4 years ago
• gpleiss / efficient_densenet_pytorch
  A memory-efficient implementation of DenseNets
  ☆1,526Updated last year
• jeonsworld / ViT-pytorch
  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
  ☆1,990Updated 2 years ago
• utkuozbulak / pytorch-cnn-visualizations
  Pytorch implementation of convolutional neural network visualization techniques
  ☆7,953Updated last month
• lucasb-eyer / pydensecrf
  Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
  ☆1,965Updated 11 months ago
• haofanwang / Score-CAM
  Official implementation of Score-CAM in PyTorch
  ☆410Updated 2 years ago
• wkentaro / pytorch-fcn
  PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
  ☆1,760Updated 2 years ago
• facebookresearch / swav
  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
  ☆2,024Updated last year
• ozan-oktay / Attention-Gated-Networks
  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
  ☆1,940Updated 4 years ago
• bermanmaxim / LovaszSoftmax
  Code for the Lovász-Softmax loss (CVPR 2018)
  ☆1,387Updated 10 months ago
• insikk / Grad-CAM-tensorflow
  tensorflow implementation of Grad-CAM (CNN visualization)
  ☆309Updated 6 years ago
• hysts / pytorch_image_classification
  PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
  ☆1,384Updated 3 years ago
• junfu1115 / DANet
  Dual Attention Network for Scene Segmentation (CVPR2019)
  ☆2,420Updated last month
• ildoonet / pytorch-gradual-warmup-lr
  Gradually-Warmup Learning Rate Scheduler for PyTorch
  ☆986Updated 4 months ago