Projects in Awesome Lists tagged with interpretable-ai
A curated list of projects in awesome lists tagged with interpretable-ai .
https://github.com/jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
class-activation-maps computer-vision deep-learning explainable-ai explainable-ml grad-cam image-classification interpretability interpretable-ai interpretable-deep-learning machine-learning object-detection pytorch score-cam vision-transformers visualizations xai
Last synced: 12 May 2025
https://github.com/interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
ai artificial-intelligence bias blackbox differential-privacy explainability explainable-ai explainable-ml gradient-boosting iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml interpretml machine-learning scikit-learn transparency xai
Last synced: 06 Feb 2026
https://github.com/pytorch/captum
Model interpretability and understanding for PyTorch
feature-attribution feature-importance interpretability interpretable-ai interpretable-ml
Last synced: 13 May 2025
https://github.com/jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
accountability data-mining data-science decision-tree fairness fatml gradient-boosting-machine h2o iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai
Last synced: 16 May 2025
https://github.com/h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
accountability data-mining data-science explainable-ml fairness fatml h2o iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml jupyter-notebooks machine-learning machine-learning-interpretability mli python transparency xai xgboost
Last synced: 05 Apr 2025
https://github.com/explainx/explainx
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 @ ms8909@nyu.edu
aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai
Last synced: 16 May 2025
https://github.com/explainX/explainx
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 @ ms8909@nyu.edu
aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai
Last synced: 04 Apr 2025
https://github.com/chr5tphr/zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
attribution deep-learning explainability explainable-ai feature-attribution interpretability interpretable-ai interpretable-ml lrp machine-learning python pytorch xai
Last synced: 09 Apr 2025
https://github.com/pietrobarbiero/pytorch_explain
PyTorch Explain: Interpretable Deep Learning in Python.
deep-learning entropy explainability explainable-ai interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning lens logic machine-learning neural-network python pytorch sympy
Last synced: 06 Apr 2025
https://github.com/ajayarunachalam/deep_xf
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
auto-ml auto-timeseries deep-learning deep-neural-networks ecg-signal explainable-ml forecasting forecasting-models interpretable-ai machine-learning multivariate nowcasting-models python sensors siamese-neural-network time-series time-series-analysis timeseries
Last synced: 31 Aug 2025
https://github.com/julia-xai/explainableai.jl
Explainable AI in Julia.
attribution-methods explainable-ai feature-attribution interpretability interpretable-ai julia lrp xai
Last synced: 11 Dec 2025
https://github.com/andreysharapov/xaience
All about explainable AI, algorithmic fairness and more
explainable-ai explainable-artificial-intelligence explainable-ml interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning
Last synced: 17 Jan 2026
https://github.com/fat-forensics/fat-forensics
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
accountability explainability explainable-ai fairness interpretability interpretable-ai machine-learning transparency
Last synced: 27 Mar 2025
https://github.com/linkedin/te2rules
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
explainability explainable-ai interpretability interpretable-ai machine-learning random-forest rule-learning tree-ensembles xgboost
Last synced: 01 Mar 2026
https://github.com/adaamko/potato
XAI based human-in-the-loop framework for automatic rule-learning.
classification explainability explainable-ai explainable-ml information-extraction interpretable-ai interpretable-machine-learning nlp nlp-machine-learning
Last synced: 27 Jul 2025
https://github.com/tootouch/whitebox-part1
In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)
backpropagation blackbox cifar-10 computer-vision deep-learning evaluate-models explainable-ai grad-cam gradients guided-backpropagation integrated-gradients interpretable-ai machine-learning mnist saliency-map smoothgrad
Last synced: 02 May 2025
https://github.com/willbakst/pytorch-lattice
A PyTorch implementation of constrained optimization and modeling techniques
constrained-optimization explainable-ai explainable-ml interpretable-ai interpretable-ml shape-constraints
Last synced: 10 Mar 2026
https://github.com/weimin17/multimodal_transformer
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
clinical-notes clinical-variables ehr interpretability interpretable-ai mortality mortality-prediction multimodal transformer
Last synced: 06 May 2025
https://github.com/koriavinash1/bioexp
Explainability of Deep Learning Models
ablation activation-maximization causal-inference causality clustering concept-extraction dissection explainability explainable-ai gradcam interpretability interpretable-ai intervention joint-analysis rct uncertainty
Last synced: 01 May 2025
https://github.com/ottenbreit-data-science/aplr
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.
ai aplr automatic-piecewise-linear-regression classification explainable-ai explainable-boosting generalized-linear-models glm gradient-boosting interpretability interpretable-ai interpretable-machine-learning interpretable-ml linear-regression machine-learning piecewise-regression regression scikit-learn segmented-regression transparency
Last synced: 25 Apr 2026
https://github.com/jphall663/hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
accountability data-mining data-science explainable-ai explainable-ml fairness fairness-ai fairness-ml fatml iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability transparency xai
Last synced: 27 Jan 2026
https://github.com/navdeep-g/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
accountability data-mining data-science decision-trees fairness fatml gradient-boosting-machine iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai
Last synced: 12 Mar 2026
https://github.com/si-cim/prototorch
ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.
interpretable-ai lvq machine-learning python pytorch
Last synced: 11 Apr 2025
https://github.com/h2oai/article-information-2019
Article for Special Edition of Information: Machine Learning with Python
data-science explainable-ai explainable-ml fairness-ai fairness-ml fairness-testing fatml iml interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python xai
Last synced: 07 Apr 2025
https://github.com/prclibo/ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
counterfactual-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml face-editing face-generation face-manipulation gan interpretability interpretable-ai interpretable-deep-learning pytorch stylegan2
Last synced: 19 Jan 2026
https://github.com/jphall663/jsm_2018_paper
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
data-mining data-science explainable-ml fatml iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python transparency xai
Last synced: 04 Aug 2025
https://github.com/cmu-sei/feud
AI Division, Reverse Engineering CNN Trojans
artificial-intelligence computer-vison interpretability interpretable-ai reverse-engineering
Last synced: 14 Apr 2025
https://github.com/naotoo1/prosemble
A python package for prototype-based machine learning models
interpretable-ai lvq machine-learning prototype-based-clustering prototype-based-models python
Last synced: 23 May 2026
https://github.com/lisette-espin/povertymaps
Interpreting wealth distribution via poverty map inference using multimodal data
antennas catboost-model catboostregressor cnn-model crowdsourced-data deep-learning demographics explainable-ai infrastructure interpretable-ai machine-learning mean mobility online-data open-street-map poverty-estimates satellite-imagery stddev
Last synced: 07 May 2025
https://github.com/parantapa/integrated-directional-gradients
Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.
feature-attribution feature-importance interpretability interpretable-ai interpretable-ml
Last synced: 16 Jan 2026
https://github.com/kstrassheim/explain-ai
This web-app shows the functionality of the model-agnostic explainable-ai engine LIME on 3 common deep learning text classifiers (BERT, LSTM, TFIDF-NN) for fake news detection.
django explainable-ai interpretable-ai machine-learning python-unittest python-webapp react
Last synced: 30 Apr 2026
https://github.com/bgreenwell/ebm
Explainable Boosting Machines
ai blackbox explainable-ai explainable-machine-learning explainable-ml glassbox iml interpretability interpretability-and-explainability interpretable interpretable-ai interpretable-machine-learning interpretable-ml interpretable-models machine-learning xai
Last synced: 19 Aug 2025
https://github.com/poppingtonic/transformer-visualization
Mechanistic Interpretability Tutorials, Results and research log as I learn from @neelnanda-io's wonderful Easy-Transformer
gradio-interface interpretability-jam interpretable-ai transformers visualization
Last synced: 19 Apr 2025
https://github.com/naotoo1/nafes
A python project for prototype-based feature selection
feature-selection interpretable-ai lvq machine-learning prototype-based-models python
Last synced: 01 Apr 2026
https://github.com/clementsicard/reliable-and-trustworthy-ai-notebooks
Reliable and Trustworthy Intelligence AI notebooks from ETH Zurich course taught by Prof. Dr. Martin Vechev
interpretable-ai neural-networks reliable-ai trustworthy-ai
Last synced: 28 May 2026
https://github.com/groshanlal/nn2rules
Explain fully connected ReLU neural networks using rules
explainability explainable-ai fully-connected-deep-neural-network interpretability interpretable-ai machine-learning neural-networks relu-activation rule-learning
Last synced: 17 Aug 2025
https://github.com/changsheng137/information-sphere
🌐 Information-Oriented Sphere System: From Data to Information Paradigm Shift | 信息导向球面系统 - Lossless reconstruction (MSE=0), Full interpretability, 2.28x optimized
artificial-intelligence deep-learning explainable-ai information-processing information-theory interpretable-ai knowledge-representation lossless-reconstruction machine-learning pytorch semantic-analysis sphere-mapping transparent-ai
Last synced: 06 May 2026
https://github.com/ClementSicard/Reliable-and-Trustworthy-AI-Notebooks
Reliable and Trustworthy Intelligence AI notebooks from ETH Zurich course taught by Prof. Dr. Martin Vechev
interpretable-ai neural-networks reliable-ai trustworthy-ai
Last synced: 10 May 2025
https://github.com/naotoo1/sofes
A python package for soft feature selection
feature-selection interpretable-ai lvq machine-learning prototype-based-models python
Last synced: 14 Jan 2026
https://github.com/aadisrivastava05/veritas
We present VERITAS, a comprehensive framework that not only accurately detects whether an image is AI-generated but also explains why it was classified that way through artifact localization and semantic reasoning. Our architecture couples traditional image classifiers with a novel interpretability pipeline.
classification clip computer-vision explainable-ai interpretable-ai molmo
Last synced: 17 Jun 2025
https://github.com/cursedseraphim/nam-torch
A simple implementation of the Neural Additive Model by Agarwal et al. in PyTorch.
explainable-ai interpretable-ai interpretable-machine-learning iris-dataset machine-learning xai
Last synced: 10 Oct 2025
https://github.com/si-cim/cbc-aaai-2025
Deep CBC Models for Prototype Based Interpretability Benchmarks
aaai2025 cbc components computer-vision explainable-ai explainable-artificial-intelligence explainable-ml interpretable-ai interpretable-deep-learning interpretable-machine-learning prototypical-learning xai
Last synced: 20 Apr 2026
https://github.com/sbartlett97/model-understanding
Playing around with understanding how different tokens affect the generation in LLMs
deep-learning interpretable-ai interpretable-machine-learning llm llm-inference llms machine-learning model-understanding
Last synced: 05 Apr 2025
https://github.com/ccomkhj/interpretable-lightgbm
SHAP explainer for LightGBM models - Generate feature importance plots, dependence plots, and prediction explanations with one line of code. Make your gradient boosting models interpretable for stakeholders.
data-science explainable-ai feature-importance interpretable-ai lightgbm machine-learning model-explanation shap xai
Last synced: 31 Mar 2025
