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:
- A Python library for pruning and visualizing Keras Neural Networks' structure and weights☆10Dec 24, 2019Updated 6 years ago
- ☆12Mar 26, 2021Updated 5 years ago
- This repository contains codes to explain One-Dimensional Convolutional Neural Networks (1D-CNN) using Layer-wise Relevance Propagation.☆13Aug 24, 2021Updated 4 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 6 years ago
- Code for running experiments and benchmarking on GNNExplainer: Generating Explanations for Graph Neural Networks☆15May 8, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆20Jan 23, 2020Updated 6 years ago
- ☆19Mar 24, 2021Updated 5 years ago
- A python library for eXplainable Reinforcement Learning (XRL) based on the concept of interestingness elements.☆21May 22, 2021Updated 4 years ago
- Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework☆46Jan 12, 2023Updated 3 years ago
- The official Node SDK for Scale AI, the data platform for AI☆16Jan 10, 2024Updated 2 years ago
- ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU☆28Dec 28, 2020Updated 5 years ago
- ☆17Aug 5, 2018Updated 7 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 2 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 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- aCcelerated Alignment-FrEe sequence analysis☆13May 8, 2018Updated 7 years ago
- CAVA (Clinical Annotation of VAriants)☆14Sep 28, 2018Updated 7 years ago
- ☆28Dec 29, 2020Updated 5 years ago
- ☆34Jan 3, 2023Updated 3 years ago
- Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)☆39Dec 3, 2021Updated 4 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
- Python wrappers for dicom conversion.☆10Sep 10, 2024Updated last year
- Scalable and computationally efficient deep reinforcement learning framework for influence maximization☆13May 10, 2025Updated 11 months ago
- Implementation of Deep Multiple Instance Learning algorithms in pytorch.☆12Mar 24, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementation of various neural network interpretability methods☆119Mar 8, 2022Updated 4 years ago
- Digital mammography processing tools☆15Aug 3, 2021Updated 4 years ago
- Automatic Image Background Subtraction☆12Oct 27, 2021Updated 4 years ago
- (MICCAI 2022) PyTorch implementation of Deep is a Luxury We Don't Have☆14Sep 6, 2022Updated 3 years ago
- Statistical tests for evaluating unimodality☆18Apr 5, 2019Updated 7 years ago
- Chapter 11: Transfer Learning/Domain Adaptation☆18Jul 23, 2019Updated 6 years ago
- Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention…☆50Nov 17, 2020Updated 5 years ago
- A toolbox for fair and explainable machine learning☆57Jun 17, 2024Updated last year
- CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer☆16Jul 17, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Network-of-networks modeling approach for critical infrastructure resilience.☆19May 24, 2020Updated 5 years ago
- ☆15Apr 7, 2024Updated 2 years ago
- vizgradcam is the fastest way to visualize GradCAM with your Keras models.☆60Oct 7, 2021Updated 4 years ago
- A simple RVFL on python☆10Feb 12, 2022Updated 4 years ago
- ☆17Feb 28, 2024Updated 2 years ago
- Detection and Classification of breast cancer in mammogram using textual and statistical features of image☆14Jun 3, 2016Updated 9 years ago
- DICOM stands for “Digital Imaging and Communications in Medicine”. It is an international standard for medical imaging.☆20Sep 1, 2021Updated 4 years ago