explainable-machine-learning

There are 2 repositories under explainable-machine-learning topic.

modelStudio
ModelOriented / modelStudio
📍 Interactive Studio for Explanatory Model Analysis
xai iml interpretability interpretable-machine-learning explanatory-model-analysis explainable-ai explainable-machine-learning model-visualization learning machine explainable interactive interpretable model ai human interactivity r visualization
Language:R 328
pralab / secml
A Python library for Secure and Explainable Machine Learning
adversarial-machine-learning algorithms artificial-intelligence attack-algorithms cleverhans evasion-attacks explainable-machine-learning foolbox interpretability machine-learning matplotlib neural-networks poisoning-attacks python python-library pytorch secml security sparse-data tensorflow
Language:Jupyter Notebook 160
survex
ModelOriented / survex
Explainable Machine Learning in Survival Analysis
brier-scores cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning shap survival-analysis cox-model probabilistic-machine-learning r-package censored-data time-to-event xai biostatistics variable-importance r
Language:R 104
EzgiKorkmaz / adversarial-reinforcement-learning
Reading list for adversarial perspective and robustness in deep reinforcement learning.
adversarial-machine-learning adversarial-policies adversarial-reinforcement-learning ai-alignment ai-safety artificial-intelligence-alignment deep-reinforcement-learning explainable-machine-learning machine-learning-safety meta-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning-alignment reinforcement-learning-safety responsible-ai robust-deep-reinforcement-learning robust-machine-learning robust-reinforcement-learning safe-reinforcement-learning safe-rlhf
94
xai_thyroid
hungntt / xai_thyroid
Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images
explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml medical-ai medical-image-processing medical-imaging thyroid thyroid-ultrasound-image computer-vision object-detection python
Language:Python 52
wangyongjie-ntu / CFAI
A collection of algorithms of counterfactual explanations.
interpretability counterfactual-explanations recourse explainable-machine-learning explainable-ai explainable-ml pytorch
Language:Python 50
akarasman / yolo-heatmaps
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
computer-vision crp explainable-ai explainable-artificial-intelligence explainable-deep-learning explainable-deepneuralnetwork explainable-machine-learning explainable-ml explainable-models explanations heatmap heatmap-visualization lrp object-detection python relevance xai yolo
Language:Jupyter Notebook 48
HKUDS / STExplainer
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
explainable-ai explainable-machine-learning graph-neural-networks spatio-temporal-data traffic-prediction
Language:Python 47
TorchPRISM
szandala / TorchPRISM
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
xai pytorch xai-library explainable-ai trustworthy-ai explainable-machine-learning neural-networks
Language:Python 47
angeloschatzimparmpas / t-viSNE
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
dimensionality-reduction explainable-machine-learning high-dimensional-data interpretable-tsne visualization
Language:JavaScript 17
jpmorganchase / cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
explainability explainable-ai explainable-artificial-intelligence explainable-ml explanations feature-attribution feature-importance machine-learning shap shapley shapley-values tree-based xgboost algorithmic-recourse counterfactual-explanations counterfactuals facct2022 explainable-machine-learning
Language:HTML 16
prclibo / ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
stylegan2 gan explainable-ai interpretable-ai interpretability explainability face-manipulation face-editing face-generation counterfactual-explanations pytorch explainable-ml interpretable-deep-learning explainable-artificial-intelligence explainable-machine-learning
Language:Jupyter Notebook 16
tangli-udel / DEAL
The PyTorch implementation for "DEAL: Disentangle and Localize Concept-level Explanations for VLMs" (ECCV 2024 Strong Double Blind)
clip explainable-ai explainable-machine-learning vision-language-model
Language:Jupyter Notebook 15
marcovirgolin / robust-counterfactuals
Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
counterfactual-explanations counterfactuals explainable-ai explainable-machine-learning fairness-ml genetic-algorithm interpretable-ai interpretable-machine-learning perturbations robustness
Language:Jupyter Notebook 12
jpmorganchase / cf-shap-facct22
Counterfactual Shapley Additive Explanation: Experiments
facct2022 shapley explanations algorithmic-recourse counterfactual-explanations counterfactuals explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml feature-attention feature-importance machine-learning shap shapley-values tree-based xgboost
Language:Jupyter Notebook 10
Pro-GenAI / LML-DAP
Language Model Learning a Dataset for Data-Augmented Prediction
arxiv explainable-machine-learning in-context-learning large-language-models llm llms machine-learning-classification retrieval-augmented-generation transparent-ai ai research generative-ai gen-ai genai generativeai python language-model prompt-engineering research-project research-paper
Language:Jupyter Notebook 10
tangli-udel / DRE
The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)
explainable-ai explainable-machine-learning out-of-distribution-generalization
Language:Python 9
seby-sbirna / Customer-Insights-and-Business-Intelligence-upon-the-Japanese-restaurant-industry-in-Toronto-Canada
This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics
business-analytics business-intelligence executive-summary data-science customer-insights competitor-analysis data-analysis explainable-machine-learning shap xgboost yelp yelp-dataset data deep-learning kpi topic-modeling folium-maps predictive-modeling predictive-analytics dtu
Language:Jupyter Notebook 8
XAISuite
11301858 / XAISuite
XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.
comparison-tool explainable-ai explainable-machine-learning machine-learning machine-learning-algorithms python xai-library interpretable-machine-learning pytorch-compatible sklearn-compatible tensorflow-compatible
Language:Python 7
forestry-labs / distillML
An R package providing functions for interpreting and distilling machine learning models
bart distillation-model explainable-machine-learning explainable-ml interpretability interpretable-machine-learning machine-learning model random-forest xgboost
Language:R 7
donlapark / XLabel
XLabel: An Explainable Data Labeling Assistant
annotation annotation-tool boosting boosting-machine data-annotation data-annotation-tools data-labeling data-labeling-tools explainability explainable-ai explainable-machine-learning explainable-ml interpretability interpretable-machine-learning interpretable-ml labeling-tool machine-learning xai
Language:Jupyter Notebook 5
jwuphysics / gnn-linking-lengths
Measuring galaxy environmental distance scales with GNNs and explainable ML models
astronomy astrophysics explainable-machine-learning graph-neural-networks shapley-additive-explanations
Language:Jupyter Notebook 4
marcovirgolin / CoGS
A baseline genetic algorithm for the discovery of counterfactuals, implemented in Python for ease of use and heavily leveraging NumPy for speed.
counterfactual-explanations counterfactuals genetic-algorithm explainable-ai explainable-ml explainable-machine-learning interpretable-ai interpretable-ml interpretable-machine-learning
Language:Python 4
michelecafagna26 / vl-shap
[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"
explainable-ai explainable-machine-learning explanations generative-ai interpretable-ai multimodal-deep-learning semantic shap stego vision-and-language vision-language vl xai vl-shap
Language:Jupyter Notebook 4
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
class-imbalance cost-sensitive-learning explainable-machine-learning machine-learning
Language:Jupyter Notebook 4
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.
aiforearth aiforgood artificial-intelligence deep-learning earth-observation explainability explainable-artificial-intelligence explainable-machine-learning python pytorch xai
Language:Jupyter Notebook 4
afairless / shap_tutorial
How to use SHAP to interpret machine learning models
clustering decision-trees explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml hierarchical-clustering interpretability interpretable-machine-learning machine-learning python python3 shap tutorial xgboost
Language:Jupyter Notebook 3
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.
blood-brain-barrier explainable-machine-learning interpretable-machine-learning machine-learning structural-alerts toxicology
Language:Jupyter Notebook 3
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.
artificial-intelligence boosting extreme-gradient-boosting geotechnical-engineering liquefaction machine-learning matlab python shapley-additive-explanations explainable-machine-learning kmeans-smote smote smote-oversampler synthetic-dataset-generation
Language:Jupyter Notebook 3
massimoaria / e2tree
Explainable Ensemble Trees
explainable-machine-learning
Language:R 3
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".
expected-goals explainable-artificial-intelligence explainable-machine-learning football-analytics shapley-value soccer-analytics xai
Language:R 3
orestislampridis / X-SPELLS
Explaining sentiment classification by generating synthetic exemplars and counter-exemplars in the latent space
black-boxes explainable-machine-learning sentiment-classification
Language:Python 3
FlaAI / MPCS
A Novel Optimization Objective for Explainable and Customizable Learning of Multi-Classifiers
classification explainable-machine-learning xai
Language:Jupyter Notebook 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.
explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml shapley-value
Language:Jupyter Notebook 2
um-dsp / EG-Booster
Explanation-guided boosting of machine learning evasion attacks.
security machine-learning adversarial-attacks adversarial-machine-learning adversarial-examples trustworthy-machine-learning explainable-machine-learning interpretable-machine-learning
Language:Python 2
umberH / XAI-Techniques-Literature
Ths repo has the list of Interesting Literature in the domain of XAI
explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml explainableai explanation interpretability interpretable-machine-learning xai
2

explainable-machine-learning

ModelOriented / modelStudio

pralab / secml

ModelOriented / survex

EzgiKorkmaz / adversarial-reinforcement-learning

hungntt / xai_thyroid

wangyongjie-ntu / CFAI

akarasman / yolo-heatmaps

HKUDS / STExplainer

szandala / TorchPRISM

angeloschatzimparmpas / t-viSNE

jpmorganchase / cf-shap

prclibo / ice

tangli-udel / DEAL

marcovirgolin / robust-counterfactuals

jpmorganchase / cf-shap-facct22

Pro-GenAI / LML-DAP

tangli-udel / DRE

seby-sbirna / Customer-Insights-and-Business-Intelligence-upon-the-Japanese-restaurant-industry-in-Toronto-Canada

11301858 / XAISuite

forestry-labs / distillML

donlapark / XLabel

jwuphysics / gnn-linking-lengths

marcovirgolin / CoGS

michelecafagna26 / vl-shap

orestislampridis / africa_recession

PiSchool / noa-xai-for-wildfire-forecasting

afairless / shap_tutorial

andresilvapimentel / bbbp-explainer

Kaushikjas10 / Liquefaction-XGBoost-SHAP-Jas-Dodagoudar

massimoaria / e2tree

mcavs / Decomposition-of-Expected-Goal-Models

orestislampridis / X-SPELLS

FlaAI / MPCS

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

um-dsp / EG-Booster

umberH / XAI-Techniques-Literature