24 results found Sort:

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Created 2017-05-31
246 commits to master branch, last one 4 days ago
503
5.0k
bsd-3-clause
280
Model interpretability and understanding for PyTorch
Created 2019-08-27
1,214 commits to master branch, last one 8 days ago
A collection of research materials on explainable AI/ML
Created 2020-02-16
438 commits to master branch, last one about a month ago
This repository has no description...
Created 2017-12-27
86 commits to master branch, last one 4 years ago
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Created 2018-03-14
169 commits to master branch, last one about a year ago
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms...
Created 2020-06-16
192 commits to master branch, last one 4 months ago
32
205
other
15
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Created 2020-11-10
232 commits to master branch, last one 8 months ago
PyTorch Explain: Interpretable Deep Learning in Python.
Created 2021-04-10
139 commits to master branch, last one about a year ago
37
114
mit
4
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 Classif...
Created 2021-09-30
10 commits to main branch, last one 9 months ago
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, pro...
Created 2021-10-26
22 commits to main branch, last one 2 years ago
Explainable AI in Julia.
Created 2021-02-09
234 commits to master branch, last one 17 days ago
All about explainable AI, algorithmic fairness and more
Created 2019-05-26
84 commits to master branch, last one about a year ago
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
Created 2022-01-08
216 commits to main branch, last one about a year ago
16
75
bsd-3-clause
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Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Created 2018-08-30
45 commits to master branch, last one about a year ago
A curated list of awesome academic research, books, code of ethics, data sets, institutes, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustwor...
Created 2021-09-05
296 commits to main branch, last one a day ago
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
Created 2022-10-31
129 commits to main branch, last one 8 months ago
XAI based human-in-the-loop framework for automatic rule-learning.
Created 2021-03-17
317 commits to main branch, last one about a year ago
SIDU: SImilarity Difference and Uniqueness method for explainable AI
Created 2024-03-21
58 commits to main branch, last one 7 months ago
Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
Created 2022-12-29
97 commits to main branch, last one 14 days ago
A PyTorch implementation of constrained optimization and modeling techniques
Created 2023-11-08
76 commits to main branch, last one 7 months ago
Interpretable Pre-Trained Transformers for Heart Time-Series Data
Created 2024-08-08
67 commits to main branch, last one 25 days ago
1
25
bsd-3-clause
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Find the samples, in the test data, on which your (generative) model makes mistakes.
Created 2024-01-21
75 commits to main branch, last one 10 months ago