explainable-machine-learning | Topic

Topic: "explainable-machine-learning"

ModelOriented/modelStudio

📍 Interactive Studio for Explanatory Model Analysis

Language: R - Size: 36.2 MB - Last synced at: about 23 hours ago - Pushed at: over 1 year ago - Stars: 332 - Forks: 32

pralab/secml

A Python library for Secure and Explainable Machine Learning

Language: Jupyter Notebook - Size: 67.2 MB - Last synced at: 27 days ago - Pushed at: 4 months ago - Stars: 175 - Forks: 26

ModelOriented/survex

Explainable Machine Learning in Survival Analysis

Language: R - Size: 309 MB - Last synced at: 1 day ago - Pushed at: 11 months ago - Stars: 111 - Forks: 10

EzgiKorkmaz/adversarial-reinforcement-learning

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

Size: 18.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 110 - Forks: 6

wangyongjie-ntu/CFAI

A collection of algorithms of counterfactual explanations.

Language: Python - Size: 8.97 MB - Last synced at: 20 days ago - Pushed at: about 4 years ago - Stars: 50 - Forks: 9

szandala/TorchPRISM

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

Language: Python - Size: 21.2 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 7

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

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

HKUDS/STExplainer

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

Language: Python - Size: 47.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 30 - Forks: 2

solegalli/machine-learning-interpretability

Code repository for the online course Machine Learning Interpretability

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 26 - Forks: 18

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: 6 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 1

angeloschatzimparmpas/t-viSNE

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

Language: JavaScript - Size: 241 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 6

prclibo/ice

Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 6

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: 12 days ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

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: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 2

forestry-labs/distillML

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

Language: R - Size: 9.76 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2

donlapark/XLabel

XLabel: An Explainable Data Labeling Assistant

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2

marcovirgolin/robust-counterfactuals

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Language: Jupyter Notebook - Size: 221 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2

jpmorganchase/cf-shap

Counterfactual SHAP: a framework for counterfactual feature importance

Language: HTML - Size: 713 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

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: 2 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 0

massimoaria/e2tree

Explainable Ensemble Trees

Language: R - Size: 2.57 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 2

bgreenwell/ebm

Explainable Boosting Machines

Language: R - Size: 44.5 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

henrikbostrom/xrf

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

Language: Python - Size: 360 KB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 3 - 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: 253 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - 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: over 1 year ago - Stars: 3 - Forks: 1

jpmorganchase/cf-shap-facct22

Counterfactual Shapley Additive Explanation: Experiments

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 3

marcovirgolin/CoGS

A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.

Language: Python - Size: 402 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

mcavs/Decomposition-of-Expected-Goal-Models

This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".

Language: R - Size: 451 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

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: about 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

orestislampridis/africa_recession

Predicting whether an African country will be in recession or not with advanced machine learning techniques involving class imbalance, cost-sensitive learning and explainable machine learning

Language: Jupyter Notebook - Size: 6.89 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

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: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

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: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 2

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: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

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: 2 months ago - Pushed at: about 2 years ago - Stars: 2 - 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

LukePower01/ml-to-qml

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

Language: Jupyter Notebook - Size: 166 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 1

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

Language: Jupyter Notebook - Size: 118 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

hbaniecki/robust-feature-effects

Robustness of Global Feature Effect Explanations (ECML PKDD 2024)

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

umberH/XAI-Techniques-Literature

Ths repo has the list of Interesting Literature in the domain of XAI

Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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

baraki-weldat/Data-Science-Project-A1F

In this data science project, an eXplainable Hate Speech Classification model developed with BERT and SHAP Explanation tool.

Size: 1.25 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 6 months 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: 616 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0