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The Top 23 Explainable Ai Interpretability Open Source Projects

Open source projects categorized as Explainable Ai Interpretability
Categories > Explainable Ai
Categories > Machine Learning > Interpretability
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 15 days agopypi interpret} Downloads
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
Awesome Explainable Ai ⭐ 1,208
A collection of research materials on explainable AI/ML
most recent commit 3 months ago
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 11 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
Xplique ⭐ 522
👋 Xplique is a Neural Networks Explainability Toolbox
total releases 3most recent commit 4 months ago
Transformer Mm Explainability ⭐ 490
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
most recent commit a year ago
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
Aspect Based Sentiment Analysis ⭐ 413
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
total releases 8most recent commit a year ago
Explainx ⭐ 375
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 @ [email protected]
total releases 56most recent commit 3 months ago
Modelstudio ⭐ 305
📍 Interactive Studio for Explanatory Model Analysis
total releases 18most recent commit 8 months ago
Inseq ⭐ 254
Interpretability for sequence generation models 🐛 🔍
total releases 6most recent commit 3 months ago
Adversarial Explainable Ai ⭐ 235
💡 Adversarial attacks on explanations and how to defend them
most recent commit 6 months ago
Openxai ⭐ 178
OpenXAI : Towards a Transparent Evaluation of Model Explanations
most recent commit 6 months ago
Zennit ⭐ 151
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
dependent packages 2total releases 15most recent commit 7 months agopypi zennit} Downloads
Diffusers Interpret ⭐ 143
Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.
total releases 11most recent commit 2 years ago
Graphxai ⭐ 128
GraphXAI: Resource to support the development and evaluation of GNN explainers
most recent commit a year ago
Hierarchical Dnn Interpretations ⭐ 119
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
total releases 7most recent commit 3 years ago
The 10 Most Depended On Explainable Ai Interpretability Open Source Projects
Interpret ⭐ 5,974
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45latest release August 26, 2023most recent commit 15 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
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
Fasttreeshap ⭐ 485
Fast SHAP value computation for interpreting tree-based models
dependent packages 2total releases 7latest release May 20, 2022most recent commit 10 months agopypi fasttreeshap} 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
Kernelshap ⭐ 28
Efficient R implementation of SHAP
dependent packages 1total releases 11latest release September 23, 2023most recent commit 4 months ago
The 10 Latest Releases In Explainable Ai Interpretability Open Source Projects
Inseq ⭐ 254
Interpretability for sequence generation models 🐛 🔍
total releases 6latest release December 07, 2023most recent commit 3 months ago
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
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
Te2rules ⭐ 25
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
total releases 16latest release August 31, 2023most recent commit 4 months ago
Interpret ⭐ 5,974
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45latest release August 26, 2023most recent commit 15 days agopypi interpret} Downloads
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