Awesome Open Source
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The Top 47 Interpretability Open Source Projects

Categories > Machine Learning > Interpretability
Shap ⭐ 12,365
A game theoretic approach to explain the output of any machine learning model.
Awesome Production Machine Learning ⭐ 8,680
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Lucid ⭐ 4,167
A collection of infrastructure and tools for research in neural network interpretability.
Interpret ⭐ 3,668
Fit interpretable models. Explain blackbox machine learning.
Captum ⭐ 2,283
Model interpretability and understanding for PyTorch
Awesome Machine Learning Interpretability ⭐ 2,094
A curated list of awesome machine learning interpretability resources.
Stellargraph ⭐ 1,853
StellarGraph - Machine Learning on Graphs
Alibi ⭐ 962
Algorithms for monitoring and explaining machine learning models
Shapash ⭐ 958
🔅 Shapash makes Machine Learning models transparent and understandable by everyone
Grad Cam ⭐ 916
[ICCV 2017] Torch code for Grad-CAM
Dalex ⭐ 812
moDel Agnostic Language for Exploration and eXplanation
Tf Explain ⭐ 795
Interpretability Methods for tf.keras models with Tensorflow 2.x
Awesome Federated Learning ⭐ 707
Federated Learning Library: https://fedml.ai
Ad_examples ⭐ 653
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Xai ⭐ 610
XAI - An eXplainability toolbox for machine learning
Flashtorch ⭐ 577
Visualization toolkit for neural networks in PyTorch! Demo -->
Xai_resources ⭐ 558
Interesting resources related to XAI (Explainable Artificial Intelligence)
Interpretable_machine_learning_with_python ⭐ 540
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Deeplift ⭐ 518
Public facing deeplift repo
Tcav ⭐ 447
Code for the TCAV ML interpretability project
Mli Resources ⭐ 431
H2O.ai Machine Learning Interpretability Resources
Neural Backed Decision Trees ⭐ 424
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Awesome_deep_learning_interpretability ⭐ 414
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Facet ⭐ 288
Human-explainable AI.
Torch Cam ⭐ 276
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
Aspect Based Sentiment Analysis ⭐ 229
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Awesome Explainable Ai ⭐ 227
A collection of research materials on explainable AI/ML
Imodels ⭐ 205
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Explainx ⭐ 201
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
Pyss3 ⭐ 194
A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
Modelstudio ⭐ 166
📍 Interactive Studio for Explanatory Model Analysis
Lrp_for_lstm ⭐ 153
Layer-wise Relevance Propagation (LRP) for LSTMs
Awesome Fairness In Ai ⭐ 152
A curated list of awesome Fairness in AI resources
Visual Attribution ⭐ 127
Pytorch Implementation of recent visual attribution methods for model interpretability
Pycebox ⭐ 101
⬛ Python Individual Conditional Expectation Plot Toolbox
Awesome Computer Vision ⭐ 95
Awesome Resources for Advanced Computer Vision Topics
Breakdown ⭐ 93
Model Agnostics breakDown plots
Interpretability By Parts ⭐ 92
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Cxplain ⭐ 85
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
Reverse Engineering Neural Networks ⭐ 80
A collection of tools for reverse engineering neural networks.
Cnn Interpretability ⭐ 74
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Adversarial Explainable Ai ⭐ 66
💡 A curated list of adversarial attacks on model explanations
Athena ⭐ 57
Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.
Text_nn ⭐ 55
Text classification models. Used a submodule for other projects.
Trelawney ⭐ 55
General Interpretability Package
Contrastiveexplanation ⭐ 36
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
Symbolic Metamodeling ⭐ 29
Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
1-47 of 47 projects
Advertising 📦 10
All Projects
Application Programming Interfaces 📦 124
Applications 📦 192
Artificial Intelligence 📦 78
Blockchain 📦 73
Build Tools 📦 113
Cloud Computing 📦 80
Code Quality 📦 28
Collaboration 📦 32
Command Line Interface 📦 49
Community 📦 83
Companies 📦 60
Compilers 📦 63
Computer Science 📦 80
Configuration Management 📦 42
Content Management 📦 175
Control Flow 📦 213
Data Formats 📦 78
Data Processing 📦 276
Data Storage 📦 135
Economics 📦 64
Frameworks 📦 215
Games 📦 129
Graphics 📦 110
Hardware 📦 152
Integrated Development Environments 📦 49
Learning Resources 📦 166
Legal 📦 29
Libraries 📦 129
Lists Of Projects 📦 22
Machine Learning 📦 347
Mapping 📦 64
Marketing 📦 15
Mathematics 📦 55
Media 📦 239
Messaging 📦 98
Networking 📦 315
Operating Systems 📦 89
Operations 📦 121
Package Managers 📦 55
Programming Languages 📦 245
Runtime Environments 📦 100
Science 📦 42
Security 📦 396
Social Media 📦 27
Software Architecture 📦 72
Software Development 📦 72
Software Performance 📦 58
Software Quality 📦 133
Text Editors 📦 49
Text Processing 📦 136
User Interface 📦 330
User Interface Components 📦 514
Version Control 📦 30
Virtualization 📦 71
Web Browsers 📦 42
Web Servers 📦 26
Web User Interface 📦 210