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The Top 23 Explainability Open Source Projects

Open source projects categorized as Explainability
Categories > Explainability
Shap ⭐ 21,595
A game theoretic approach to explain the output of any machine learning model.
dependent packages 373total releases 100most recent commit 5 days 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 25 days ago
Interpret ⭐ 5,992
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45most recent commit 4 days agopypi interpret} 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
Transformer Explainability ⭐ 1,596
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
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 18 days agopypi raiutils} Downloads
Xai ⭐ 1,060
XAI - An eXplainability toolbox for machine learning
total releases 6most recent commit 2 years ago
H1st ⭐ 781
Power Tools for AI Engineers With Deadlines
dependent packages 1total releases 2most recent commit 9 months agopypi h1st-contrib} Downloads
Flashtorch ⭐ 712
Visualization toolkit for neural networks in PyTorch! Demo -->
total releases 12most recent commit 7 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
Awesome Graph Explainability Papers ⭐ 486
Papers about explainability of GNNs
most recent commit 3 months ago
Neural Backed Decision Trees ⭐ 445
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
most recent commit 3 years 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
Score Cam ⭐ 310
Official implementation of Score-CAM in PyTorch
most recent commit 2 years ago
Tf Keras Vis ⭐ 286
Neural network visualization toolkit for tf.keras
dependent packages 2total releases 30most recent commit 7 months agopypi tf-keras-vis} Downloads
Adversarial Explainable Ai ⭐ 235
💡 Adversarial attacks on explanations and how to defend them
most recent commit 6 months ago
Matchmaker ⭐ 223
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
most recent commit a year ago
Carla ⭐ 216
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
total releases 2most recent commit a year ago
Sage ⭐ 205
For calculating global feature importance using Shapley values.
total releases 5most recent commit 5 months ago
Whitebox ⭐ 184
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
most recent commit 9 months ago
Openxai ⭐ 178
OpenXAI : Towards a Transparent Evaluation of Model Explanations
most recent commit 6 months ago
Hatexplain ⭐ 152
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
most recent commit 10 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
The 10 Most Depended On Explainability Open Source Projects
Shap ⭐ 21,595
A game theoretic approach to explain the output of any machine learning model.
dependent packages 373total releases 100latest release December 07, 2023most recent commit 5 days agopypi shap} Downloads
Interpret ⭐ 5,992
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45latest release August 26, 2023most recent commit 4 days agopypi interpret} Downloads
Tf Keras Vis ⭐ 286
Neural network visualization toolkit for tf.keras
dependent packages 2total releases 30latest release October 06, 2023most recent commit 7 months agopypi tf-keras-vis} Downloads
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
Javaanchoradapters ⭐ 6
Getting the Anchors Explainer to work in Different Settings
dependent packages 1total releases 4latest release November 18, 2019most recent commit 6 months ago
H1st ⭐ 781
Power Tools for AI Engineers With Deadlines
dependent packages 1total releases 2latest release July 14, 2023most recent commit 9 months agopypi h1st-contrib} Downloads
Thermostat ⭐ 131
Collection of NLP model explanations and accompanying analysis tools
dependent packages 1total releases 5latest release March 29, 2022most recent commit 10 months agopypi thermostat-datasets} Downloads
The 10 Latest Releases In Explainability 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 ⭐ 21,595
A game theoretic approach to explain the output of any machine learning model.
dependent packages 373total releases 100latest release December 07, 2023most recent commit 5 days agopypi shap} Downloads
Bunkatopics ⭐ 43
🗺️ Data Cleaning and Textual Data Visualization 🗺️
total releases 41latest release October 20, 2023most recent commit 3 months ago
Tf Keras Vis ⭐ 286
Neural network visualization toolkit for tf.keras
dependent packages 2total releases 30latest release October 06, 2023most recent commit 7 months agopypi tf-keras-vis} 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
Timeshap ⭐ 127
TimeSHAP explains Recurrent Neural Network predictions.
total releases 6latest release September 13, 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 ⭐ 5,992
Fit interpretable models. Explain blackbox machine learning.
dependent packages 28total releases 45latest release August 26, 2023most recent commit 4 days agopypi interpret} Downloads
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