GitHub topics: explainable-machine-learning

Repositories

sheltzer-lab/DosageCompensationFactors

This project contains the code for the manuscript "Explainable Machine Learning Identifies Factors for Dosage Compensation in Aneuploid Human Cancer Cells" by Heller et al. (https://doi.org/10.1101/2025.05.12.653427).

Language: R - Size: 1.32 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Kaushikjas10/Liquefaction-gravel-eml-2023

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.

Language: Jupyter Notebook - Size: 619 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Kaushikjas10/Liquefaction-XGBoost-SHAP-Jas-Dodagoudar

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

Language: Jupyter Notebook - Size: 256 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0

henrikbostrom/xrf

xrf is a Python package that implements random forests with example attribution

Language: Python - Size: 360 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 0

ModelOriented/survex

Explainable Machine Learning in Survival Analysis

Language: R - Size: 309 MB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 113 - Forks: 10

massimoaria/e2tree

Explainable Ensemble Trees

Language: R - Size: 4.17 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 6 - Forks: 3

pralab/secml

A Python library for Secure and Explainable Machine Learning

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 180 - Forks: 26

Pro-GenAI/LML-DAP

Language Model Learning a Dataset for Data-Augmented Prediction

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: 15 days ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 0

HKUDS/STExplainer

[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"

Language: Python - Size: 47.3 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 46 - Forks: 5

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 823 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 9

bgreenwell/ebm

Explainable Boosting Machines

Language: R - Size: 44.5 MB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

ModelOriented/modelStudio

📍 Interactive Studio for Explanatory Model Analysis

Language: R - Size: 36.2 MB - Last synced at: about 6 hours ago - Pushed at: almost 2 years ago - Stars: 332 - Forks: 32

franciellevargas/SELFAR

The SEntence-Level FActual Reasoning (SELFAR) is a new method to improve explainable fact-checking. It relies on fact extraction and verification by predicting the news source reliability and factuality (veracity) of news articles or claims at the sentence level, generating post-hoc explanations using SHAP/LIME and zero-shot prompts.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

EzgiKorkmaz/adversarial-reinforcement-learning

Reading list for adversarial perspective and robustness in deep reinforcement learning.

Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 110 - Forks: 6

solegalli/machine-learning-interpretability

Code repository for the online course Machine Learning Interpretability

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 26 - Forks: 18

szandala/TorchPRISM

Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework

Language: Python - Size: 21.2 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 7

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 7

donlapark/XLabel

XLabel: An Explainable Data Labeling Assistant

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

pyladiesams/intro-to-explainabilty-in-finance-oct2024

Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.

Language: Jupyter Notebook - Size: 7.48 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 2

FlaAI/MPCS

Repository of paper "Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers" (SMC'23)

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

LukePower01/ml-to-qml

Final year project, exploring the field of quantum machine learning.

Language: Jupyter Notebook - Size: 166 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

fork123aniket/Model-agnostic-Graph-Explainability-from-Scratch

Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch

Language: Python - Size: 3.08 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

forestry-labs/distillML

An R package providing functions for interpreting and distilling machine learning models

Language: R - Size: 9.76 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2

grascya/Heart-Disease

The objective is to ascertain the probability of an individual being susceptible to a severe heart problem based on some features.

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Pranav2092/Intrustion-Detection-Using-Modified-Tree-SHAP

Language: Jupyter Notebook - Size: 118 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

wangyongjie-ntu/CFAI

A collection of algorithms of counterfactual explanations.

Language: Python - Size: 8.97 MB - Last synced at: 22 days ago - Pushed at: over 4 years ago - Stars: 50 - Forks: 9

tangli-udel/DEAL

The PyTorch implementation for "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" (ECCV 2024 Strong Double Blind)

Language: Jupyter Notebook - Size: 7.34 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 14 - Forks: 1

hbaniecki/robust-feature-effects

Robustness of Global Feature Effect Explanations (ECML PKDD 2024)

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

11301858/XAISuite

XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.

Language: Python - Size: 15.3 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

M-Fatoni/Improving-Employee-Retention-by-Predicting-Employee-Attrition-Using-Machine-Learning

This project aims to leverage machine learning techniques to predict employee attrition, allowing organizations to identify at-risk employees and implement strategies to improve retention rates.

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

jwuphysics/gnn-linking-lengths

Measuring galaxy environmental distance scales with GNNs and explainable ML models

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

hungntt/xai_thyroid

Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

Language: Python - Size: 2.01 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 45 - Forks: 6

andresilvapimentel/bbbp-explainer

BBBP Explainer is a code to generate structural alerts of blood-brain barrier penetrating and non-penetrating drugs using Local Interpretable Model-Agnostic Explanations (LIME) of machine learning models from BBBP dataset.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

tangli-udel/DRE

The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)

Language: Python - Size: 175 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 2

orestislampridis/X-SPELLS

Explaining sentiment classification by generating synthetic exemplars and counter-exemplars in the latent space

Language: Python - Size: 126 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

alirezadizaji/GraphROAR

A new benchmark for graph neural network explainer methods

Language: Python - Size: 7.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

akarasman/yolo-heatmaps

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

Language: Jupyter Notebook - Size: 3.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 11

michelecafagna26/vl-shap

[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

um-dsp/EG-Booster

Explanation-guided boosting of machine learning evasion attacks.

Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

PiSchool/noa-xai-for-wildfire-forecasting

Code for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfire Forecasting.

Language: Jupyter Notebook - Size: 134 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

shreyansh-2003/MLR-Gradient-Descent-For-Model-Explainability

This repository contains a comprehensive implementation of gradient descent for linear regression, including visualizations and comparisons with ordinary least squares (OLS) regression. It also includes an additional implementation for multiple linear regression using gradient descent.

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Related Keywords

explainable-machine-learning 53 explainable-ai 29 machine-learning 21 explainable-ml 20 interpretable-machine-learning 15 explainable-artificial-intelligence 15 xai 12 shap 9 interpretability 9 python 8 explainability 8 pytorch 6 interpretable-ml 6 counterfactual-explanations 6 interpretable-ai 5 artificial-intelligence 5 shapley-additive-explanations 5 explanations 5 counterfactuals 4 iml 4 deep-learning 4 shapley-value 4 ai 3 computer-vision 3 xgboost 3 adversarial-machine-learning 3 explanatory-model-analysis 3 visualization 3 graph-neural-networks 3 feature-importance 3 shapley-values 3 lime 3 algorithmic-recourse 2 classification 2 model 2 random-forest 2 neural-networks 2 r 2 security 2 object-detection 2 data-analysis 2 pytorch-geometric 2 facct2022 2 data-visualization 2 exploratory-data-analysis 2 feature-attribution 2 shapley 2 explainable-deepneuralnetwork 2 xai-library 2 tree-based 2 machine-learning-algorithms 2 geotechnical-engineering 2 in-context-learning 2 liquefaction 2 boosting 2 generative-ai 2 interpretable 2 genetic-algorithm 2 out-of-distribution-generalization 1 toxicology 1 medical-imaging 1 thyroid 1 thyroid-ultrasound-image 1 medical-image-processing 1 structural-alerts 1 medical-ai 1 blood-brain-barrier 1 tree-shap 1 shap-values 1 random-forest-classifier 1 python3 1 modified-tree-shap 1 jupyter-notebook 1 intrusion-detection 1 google-colab 1 svm-classifier 1 heart-disease 1 distillation-model 1 bart 1 pytorch-implementation 1 explainer 1 quantum-machine-learning 1 quantum-computing 1 example-based-explanations 1 astrophysics 1 astronomy 1 human-resources 1 employee 1 data-preparation 1 business-analysis 1 tensorflow-compatible 1 sklearn-compatible 1 pytorch-compatible 1 comparison-tool 1 partial-dependence-plot 1 dalex 1 accumulated-local-effects 1 vision-language-model 1 clip 1 recourse 1