marvinbuss / ExplainableML-Vision
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
☆30Updated 2 years ago
Alternatives and similar repositories for ExplainableML-Vision
Users that are interested in ExplainableML-Vision are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of various neural network interpretability methods☆117Updated 3 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- Covid-19 Detection Experiments☆36Updated 4 years ago
- the re-implementation of Score CAM with pytorch☆52Updated 5 years ago
- Integrated Grad-CAM (submitted to ICASSP2021 conference)☆19Updated 4 years ago
- ☆19Updated 5 years ago
- An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks☆16Updated 2 years ago
- This repo contains Grad-CAM for 3D volumes.☆79Updated 4 years ago
- A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).☆136Updated 4 years ago
- SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping☆102Updated last year
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- Code for ISIC 2019 Competition☆9Updated 5 years ago
- tensorflow.keras implementation of gradcam and gradcam++☆41Updated 2 years ago
- Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification☆70Updated 2 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- The re-implementation of Smooth Grad-CAM++ with pytorch☆65Updated 5 years ago
- [TMI'20] Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model☆133Updated 4 years ago
- ☆33Updated 3 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Updated 4 years ago
- Official Pytorch implementation of the paper DeScarGAN☆31Updated 4 years ago
- A Pytorch implementation of GradCAM, GradCAM++, and Smooth-GradCAM++☆9Updated 5 years ago
- TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆27Updated 5 years ago
- Basic LRP implementation in PyTorch☆169Updated 9 months ago
- Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study☆185Updated 2 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain☆38Updated 3 years ago
- Data Augmentation optimized for GAN☆56Updated 4 years ago
- ☆43Updated 2 years ago
- A straightforward mechanism to implement cost sensitive losses in pytorch☆47Updated 2 years ago
- Code for the ISIC2019 Challenge☆118Updated 4 years ago