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The Top 23 Machine Learning Interpretability Open Source Projects

Open source projects categorized as Machine Learning Interpretability
Categories > Machine Learning > Interpretability
Categories > Machine Learning > Machine Learning
Shap ⭐ 21,407
A game theoretic approach to explain the output of any machine learning model.
dependent packages 373total releases 100most recent commit a month agopypi shap} Downloads
Awesome Production Machine Learning ⭐ 15,804
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
most recent commit 17 days ago
Pytorch Grad Cam ⭐ 8,723
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
dependent packages 10total releases 28most recent commit 4 months agopypi grad-cam} Downloads
Interpret ⭐ 5,974
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45most recent commit 14 days agopypi interpret} Downloads
Lucid ⭐ 4,232
A collection of infrastructure and tools for research in neural network interpretability.
dependent packages 2total releases 6most recent commit 3 years agonpm lucid-components} Downloads
Awesome Machine Learning Interpretability ⭐ 3,241
A curated list of awesome responsible machine learning resources.
most recent commit 3 months ago
Stellargraph ⭐ 2,768
StellarGraph - Machine Learning on Graphs
dependent packages 6total releases 24most recent commit 7 months agopypi stellargraph} Downloads
Shapash ⭐ 2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
dependent packages 2total releases 37most recent commit 3 months agopypi shapash} Downloads
Alibi ⭐ 2,257
Algorithms for explaining machine learning models
dependent packages 17total releases 31most recent commit 3 months agopypi alibi} Downloads
Awesome Federated Learning ⭐ 1,481
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
most recent commit 2 years ago
Dalex ⭐ 1,242
moDel Agnostic Language for Exploration and eXplanation
dependent packages 24total releases 29most recent commit 7 months ago
Imodels ⭐ 1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
dependent packages 4total releases 44most recent commit 4 months agopypi imodels} Downloads
Responsible Ai Toolbox ⭐ 1,187
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
dependent packages 8total releases 6most recent commit 10 days agopypi raiutils} Downloads
Transformers Interpret ⭐ 1,090
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
dependent packages 2total releases 36most recent commit 8 months agopypi transformers-interpret} Downloads
Xai ⭐ 1,052
XAI - An eXplainability toolbox for machine learning
total releases 6most recent commit 2 years ago
Tf Explain ⭐ 934
Interpretability Methods for tf.keras models with Tensorflow 2.x
dependent packages 7total releases 8most recent commit 2 years agopypi tf-explain} Downloads
Flashtorch ⭐ 712
Visualization toolkit for neural networks in PyTorch! Demo -->
total releases 12most recent commit 7 months ago
Decision Forests ⭐ 635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 5total releases 33most recent commit 3 months agopypi tensorflow-decision-forests} Downloads
Interpretable_machine_learning_with_python ⭐ 629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
most recent commit a year ago
Tcav ⭐ 549
Code for the TCAV ML interpretability project
dependent packages 2total releases 4most recent commit a year agopypi tcav} Downloads
Fasttreeshap ⭐ 485
Fast SHAP value computation for interpreting tree-based models
dependent packages 2total releases 7most recent commit 10 months agopypi fasttreeshap} Downloads
Facet ⭐ 483
Human-explainable AI.
total releases 27most recent commit 5 months ago
Quantus ⭐ 460
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
dependent packages 1total releases 27most recent commit 3 months agopypi quantus} Downloads
The 10 Most Depended On Machine Learning Interpretability Open Source Projects
Shap ⭐ 21,407
A game theoretic approach to explain the output of any machine learning model.
dependent packages 373total releases 100latest release December 07, 2023most recent commit a month agopypi shap} Downloads
Interpret ⭐ 5,974
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45latest release August 26, 2023most recent commit 14 days agopypi interpret} Downloads
Dalex ⭐ 1,242
moDel Agnostic Language for Exploration and eXplanation
dependent packages 24total releases 29latest release January 15, 2023most recent commit 7 months ago
Alibi ⭐ 2,257
Algorithms for explaining machine learning models
dependent packages 17total releases 31latest release July 07, 2023most recent commit 3 months agopypi alibi} Downloads
Tf Explain ⭐ 934
Interpretability Methods for tf.keras models with Tensorflow 2.x
dependent packages 7total releases 8latest release November 18, 2021most recent commit 2 years agopypi tf-explain} Downloads
Stellargraph ⭐ 2,768
StellarGraph - Machine Learning on Graphs
dependent packages 6total releases 24latest release February 22, 2021most recent commit 7 months agopypi stellargraph} Downloads
Breakdown ⭐ 87
Model Agnostics breakDown plots
dependent packages 6total releases 6latest release January 20, 2021most recent commit 4 years ago
Decision Forests ⭐ 635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 5total releases 33latest release November 20, 2023most recent commit 3 months agopypi tensorflow-decision-forests} Downloads
The 10 Latest Releases In Machine Learning Interpretability Open Source Projects
Shapash ⭐ 2,547
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
dependent packages 2total releases 37latest release December 08, 2023most recent commit 3 months agopypi shapash} Downloads
Shap ⭐ 21,407
A game theoretic approach to explain the output of any machine learning model.
dependent packages 373total releases 100latest release December 07, 2023most recent commit a month agopypi shap} Downloads
Quantus ⭐ 460
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
dependent packages 1total releases 27latest release December 05, 2023most recent commit 3 months agopypi quantus} Downloads
Decision Forests ⭐ 635
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
dependent packages 5total releases 33latest release November 20, 2023most recent commit 3 months agopypi tensorflow-decision-forests} Downloads
Facet ⭐ 483
Human-explainable AI.
total releases 27latest release November 15, 2023most recent commit 5 months ago
Imodels ⭐ 1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
dependent packages 4total releases 44latest release October 05, 2023most recent commit 4 months agopypi imodels} Downloads
Treeshap ⭐ 72
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
total releases 1latest release October 01, 2023most recent commit 3 months ago
Kernelshap ⭐ 28
Efficient R implementation of SHAP
dependent packages 1total releases 11latest release September 23, 2023most recent commit 4 months ago
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