Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!
☆29Jul 13, 2019Updated 6 years ago
Alternatives and similar repositories for xai_misconceptions
Users that are interested in xai_misconceptions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Guidelines for the responsible use of explainable AI and machine learning.☆17Jan 30, 2023Updated 3 years ago
- A Python library for pruning and visualizing Keras Neural Networks' structure and weights☆10Dec 24, 2019Updated 6 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Feb 2, 2026Updated 4 months ago
- Repository of the paper "Defining Locality for Surrogates in Post-hoc Interpretablity" published at 2018 ICML Workshop on Human Interpret…☆17Nov 9, 2021Updated 4 years ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Jun 17, 2024Updated last year
- 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.
- H2O.ai Machine Learning Interpretability Resources☆492Dec 12, 2020Updated 5 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
- Practical ideas on securing machine learning models☆37May 27, 2021Updated 5 years ago
- The code snippets for the SW chapter of the "Interpretable AI" book.☆19Apr 10, 2019Updated 7 years ago
- ☆38May 7, 2025Updated last year
- ☆14Oct 21, 2018Updated 7 years ago
- ☆20Jan 23, 2020Updated 6 years ago
- ☆19Mar 24, 2021Updated 5 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.
- A toolbox for fair and explainable machine learning☆57Jun 17, 2024Updated last year
- Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework☆46Jan 12, 2023Updated 3 years ago
- Complete solution for the Recruit Restaurant Visitor Forecasting Competition☆38May 15, 2018Updated 8 years ago
- Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.☆23Nov 19, 2019Updated 6 years ago
- Automatic Machine Learning (AutoML) for Wave Apps☆32Jul 17, 2023Updated 2 years ago
- Visualizing Deep Networks by Optimizing with Integrated Gradients (I-GOS)☆35Nov 22, 2022Updated 3 years ago
- For calculating Shapley values via linear regression.☆73Jun 6, 2021Updated 5 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
- Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…☆35Aug 21, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the resu…☆16Mar 24, 2023Updated 3 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆72Oct 20, 2021Updated 4 years ago
- Library for integrated use of H2O with Hyperopt☆13Apr 8, 2024Updated 2 years ago
- A Diagnostic Study of Explainability Techniques for Text Classification☆70Oct 23, 2020Updated 5 years ago
- Statistical inference on machine learning or general non-parametric models☆44May 10, 2024Updated 2 years ago
- ☆28Dec 29, 2020Updated 5 years ago
- Article for Special Edition of Information: Machine Learning with Python☆14Jan 8, 2025Updated last year
- Freddie Mac Single Loan Data Analysis & Machine Learning (Regression / Classification)☆12Jun 11, 2017Updated 9 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
- 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.
- rustupolis - Tuple Space for Rust.☆11Jun 3, 2026Updated last week
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆683Jun 17, 2024Updated last year
- PyTorch package to train and audit ML models for Individual Fairness☆68Sep 17, 2025Updated 8 months ago
- ☆917Mar 19, 2023Updated 3 years ago
- Adversarial Random Forests☆16May 24, 2026Updated 2 weeks ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆41Jan 9, 2023Updated 3 years ago
- Sparkling Water for R☆13Sep 1, 2017Updated 8 years ago