moDel Agnostic Language for Exploration and eXplanation
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Updated
Oct 2, 2024 - Python
moDel Agnostic Language for Exploration and eXplanation
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"
[NeurIPS'24 Spotlight] A comprehensive benchmark & codebase for Image manipulation detection/localization.
An interactive framework to visualize and analyze your AutoML process in real-time.
Unofficial implementation of MVSS-Net (ICCV 2021) with Pytorch including training code.
The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
Open and extensible benchmark for XAI methods
Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
DrCaptcha is an interactive machine learning application. The purpose of the program is to the feedback provided by users, and to use it to optimize a machine learning model. The purpose of this model is to recognize handwritten letters and numbers.
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