The code snippets for the SW chapter of the "Interpretable AI" book.
☆19Apr 10, 2019Updated 7 years ago
Alternatives and similar repositories for interpretable_ai_book__sw_chapter
Users that are interested in interpretable_ai_book__sw_chapter are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ISeeU2: visually interpretable ICU mortality prediction using deep learning and free-text medical notes☆10Jun 28, 2020Updated 6 years ago
- A Python library for pruning and visualizing Keras Neural Networks' structure and weights☆11Dec 24, 2019Updated 6 years ago
- This repository contains codes to explain One-Dimensional Convolutional Neural Networks (1D-CNN) using Layer-wise Relevance Propagation.☆13Aug 24, 2021Updated 5 years ago
- ☆18Dec 3, 2021Updated 4 years ago
- ☆18Mar 24, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆20Jan 23, 2020Updated 6 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 7 years ago
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆23May 22, 2021Updated 5 years ago
- small script for managing google scholar alert emails☆11May 6, 2023Updated 3 years ago
- Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework☆46Jan 12, 2023Updated 3 years ago
- ☆28Dec 29, 2020Updated 5 years ago
- Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code f…☆10May 1, 2023Updated 3 years ago
- 使用LSTM及股票因子数据预测未来收益,使用LRP(layer-wise relevance propagation)增强网络可解释性☆31Sep 24, 2019Updated 7 years ago
- ☆17Aug 5, 2018Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- C++ implementation of several image contrast enhancement techniques for clinical and normal images.☆16Dec 28, 2022Updated 3 years ago
- Multi-modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment☆12Mar 11, 2024Updated 2 years ago
- In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)☆40Mar 4, 2020Updated 6 years ago
- ☆11Dec 15, 2025Updated 10 months ago
- Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography im…☆11Mar 31, 2023Updated 3 years ago
- A Keras deep learning image classifiers on Django server with REST API | Django 图片识别平台☆38Dec 6, 2019Updated 6 years ago
- Automatic Image Background Subtraction☆13Oct 27, 2021Updated 5 years ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,309Apr 11, 2025Updated last year
- ☆35Jan 20, 2017Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆13Nov 1, 2025Updated last year
- A toolbox for fair and explainable machine learning☆57Jun 17, 2024Updated 2 years ago
- Implementation of Deep Multiple Instance Learning algorithms in pytorch.☆14Mar 24, 2024Updated 2 years ago
- This is a tutorial to implement DeconvNet, Backpropagation, SmoothGrad, and GuidedBackprop using Keras.☆24Aug 20, 2022Updated 4 years ago
- Pytorch Implementation of the Explainable Conditional Adversarial Autoencoder using Saliency Maps and SHAP (J. of Imaging - MDPI)☆11Mar 5, 2025Updated last year
- Source code for training CNN on BCDR mammography images dataset☆15Aug 8, 2018Updated 8 years ago
- ☆11Oct 15, 2021Updated 5 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆70Oct 23, 2020Updated 6 years ago
- ☆15Apr 7, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms☆12Oct 9, 2019Updated 7 years ago
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆62May 12, 2018Updated 8 years ago
- The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…☆335Jun 13, 2022Updated 4 years ago
- The re-implementation of Smooth Grad-CAM++ with pytorch☆65Aug 28, 2019Updated 7 years ago
- code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"☆29Jun 23, 2025Updated last year
- A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.☆20Dec 10, 2023Updated 2 years ago
- Basic UNet, AUNet, and ResNet architecture models and new variations: Connected-UNets, Connected-AUNets, and Connected-ResUNets architect…☆14May 16, 2024Updated 2 years ago