45 results found Sort:

181
1.3k
mit
18
Generate Diverse Counterfactual Explanations for any machine learning model.
Created 2019-05-02
779 commits to main branch, last one about a month ago
This repository has no description...
Created 2017-12-27
86 commits to master branch, last one 3 years ago
109
895
apache-2.0
23
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Created 2022-04-29
410 commits to main branch, last one 15 days ago
155
846
apache-2.0
28
[HELP REQUESTED] Generalized Additive Models in Python
Created 2017-01-19
714 commits to master branch, last one 3 months ago
86
819
bsd-3-clause
16
OmniXAI: A Library for eXplainable AI
Created 2022-02-17
694 commits to main branch, last one about a month ago
137
792
unknown
58
Interesting resources related to XAI (Explainable Artificial Intelligence)
Created 2018-10-17
195 commits to master branch, last one 2 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
191 commits to master branch, last one 4 months ago
40
242
bsd-3-clause
9
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Created 2022-02-15
15 commits to main branch, last one about a year ago
Concept Bottleneck Models, ICML 2020
Created 2020-03-10
32 commits to master branch, last one about a year ago
17
141
mit
3
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Created 2022-01-29
47 commits to main branch, last one 3 months ago
PyTorch Explain: Interpretable Deep Learning in Python.
Created 2021-04-10
139 commits to master branch, last one about a year ago
18
112
unknown
4
Fast approximate Shapley values in R
Created 2019-07-17
105 commits to master branch, last one 3 months ago
All about explainable AI, algorithmic fairness and more
Created 2019-05-26
84 commits to master branch, last one 8 months ago
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
Created 2022-07-07
63 commits to main branch, last one 10 months ago
An Open-Source Library for the interpretability of time series classifiers
Created 2022-08-15
449 commits to main branch, last one about a month ago
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
Created 2022-06-07
122 commits to master branch, last one about a month ago
23
91
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 2 months ago
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
Created 2022-10-07
333 commits to main 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 5 months ago
12
85
unknown
4
Model Agnostic Counterfactual Explanations
Created 2019-06-20
111 commits to master branch, last one 3 years ago
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Created 2020-12-02
12 commits to main branch, last one about a year ago
Implementation of the paper "Shapley Explanation Networks"
Created 2021-01-15
7 commits to main branch, last one 3 years ago