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Top 21 explainable-ml open source projects

Awesome Machine Learning Interpretability

A curated list of awesome machine learning interpretability resources.

✭ 2,404

machine-learning awesome awesome-list data-science data-mining interpretability transparency fairness accountability interpretable-deep-learning interpretable-ai interpretable-ml explainable-ml xai fatml interpretable-machine-learning iml machine-learning-interpretability

Mindsdb

Predictive AI layer for existing databases.

✭ 4,199

python hacktoberfest machine-learning pytorch mysql artificial-intelligence ml automl mariadb clickhouse postgresql snowflake machine-learning-api explainable-ai explainable-ml singlestore

Interpret

Fit interpretable models. Explain blackbox machine learning.

Tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

✭ 3,191

python Jupyter Notebook jupyter-notebook deep-learning machine-learning data-science monitoring reinforcement-learning ai deeplearning jupyter debugging debug machinelearning debugging-tool saliency explainable-ai explainable-ml model-visualization

diabetes use case

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

✭ 22

Jupyter Notebook data-science machine-learning data-mining healthcare xgboost transparency interpretability interpretable-ml explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability

ml-fairness-framework

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

✭ 59

Jupyter Notebook contrastive counterfactual explainable-ai explainable-ml xai interpretable-machine-learning fairness-ai aif360 fairness-ml alibi prototypical aix360 fairness-indicators

global-attribution-mapping

GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations

✭ 18

python Makefile neural-networks explainable-ai explainable-ml

SHAP FOLD

(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining

✭ 35

prolog Jupyter Notebook HTML java python machine-learning data-mining inductive-logic-programming explainable-ai explainable-ml rule-induction

fastshap

Fast approximate Shapley values in R

✭ 79

r C++variable-importance explainable-ai explainable-ml xai shapley interpretable-machine-learning shapley-values

DIG

A library for graph deep learning research

✭ 1,078

python deep-learning graph-generation explainable-ml self-supervised-learning 3d-graph graph-neural-network

shapr

Explaining the output of machine learning models with more accurately estimated Shapley values

✭ 95

r C++TeX python rcpp rstats rcpparmadillo explainable-ai explainable-ml shapley

CARLA

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

✭ 166

python Jupyter Notebook Makefile benchmarking benchmark machine-learning tensorflow pytorch artificial-intelligence counterfactual explainable-ai explainable-ml explainability tensorflow2 counterfactual-explanations counterfactuals recourse

cnn-raccoon

Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

✭ 31

python HTML CSS javascript deep-learning tensorflow keras pytorch dashboards convolutional-neural-networks visualization-tools explainable-ml

ProtoTree

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

✭ 47

python deep-neural-networks computer-vision pytorch decision-trees interpretability fine-grained-classification interpretable-deep-learning explainable-ai explainable-ml interpretable-machine-learning fine-grained-visual-categorization explainability cvpr2021

trulens

Library containing attribution and interpretation methods for deep nets.

✭ 146

Jupyter Notebook python machine-learning neural-networks explainable-ml

mllp

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

✭ 15

python Jupyter Notebook machine-learning transparency aaai interpretability rule-based interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml machine-learning-interpretability explainability rule-sets interpretml transparent-ml

responsible-ai-toolbox

This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.

Deep XF

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, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

✭ 83

Jupyter Notebook machine-learning deep-neural-networks timeseries deep-learning time-series forecasting multivariate ecg-signal sensors forecasting-models time-series-analysis auto-ml interpretable-ai explainable-ml siamese-neural-network auto-timeseries nowcasting-models

dlime experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

✭ 21

Jupyter Notebook python machine-learning random-forest scikit-learn neural-networks clusters knn lime classifiers explainable-ai explainable-ml xai heirarchical-clustering breast-cancer-dataset dlime

DataScience ArtificialIntelligence Utils

Examples of Data Science projects and Artificial Intelligence use cases

✭ 302

Jupyter Notebook python data-science machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning time-series examples regression data-visualization artificial-intelligence classification explainable-ai explainable-ml

xai-iml-sota

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

1-21 of 21 explainable-ml projects