LLNL / fastcam
A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.
☆45Updated 4 years ago
Alternatives and similar repositories for fastcam:
Users that are interested in fastcam are comparing it to the libraries listed below
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 2 years ago
- ☆57Updated 2 years ago
- Implementation of the research paper of Cam which is the alternative to the current SOTA☆28Updated 2 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆24Updated 2 years ago
- The official code of Relevance-CAM☆42Updated last year
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Updated 3 years ago
- Keras Implementation of Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)☆96Updated 4 years ago
- A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'☆17Updated 2 years ago
- Visualization toolkit for learned features of neural networks in PyTorch. Feature Visualizer, Saliency Map, Guided Gradients, Grad-CAM, D…☆42Updated 3 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆99Updated 2 years ago
- ☆56Updated last year
- ☆34Updated 4 years ago
- Class Activation Map(CAM) with Pytorch☆67Updated 5 years ago
- The Objective is to implement Siamese Network for Face Recognition using Pytorch Lightning.☆18Updated 4 years ago
- ☆12Updated 2 years ago
- Visualizer for PyTorch image models☆44Updated 3 years ago
- The re-implementation of Smooth Grad-CAM++ with pytorch☆65Updated 5 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)☆19Updated 4 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- ☆120Updated 3 years ago
- An unofficial PyTorch implementation of MixMatch - A Holistic Approach to Semi-Supervised Learning☆14Updated 3 years ago
- Explanation by Progressive Exaggeration☆20Updated 2 years ago
- ☆89Updated 2 years ago
- Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.☆42Updated last year
- Pytorch implementation of various neural network interpretability methods☆117Updated 3 years ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- ☆38Updated 2 years ago
- Implementation of Visual Transformer for Small-size Datasets☆121Updated 3 years ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆12Updated 3 years ago