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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