Ecosyste.ms: Repos

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GitHub topics: explainable

AstraZeneca/awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Size: 622 KB - Last synced: 4 days ago - Pushed: almost 2 years ago - Stars: 134 - Forks: 10

oegedijk/explainingtitanic

A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc

Language: Python - Size: 71 MB - Last synced: 25 days ago - Pushed: almost 3 years ago - Stars: 16 - Forks: 3

breimanntools/xomics

Python framework for explainable omics analysis

Language: Jupyter Notebook - Size: 16.8 MB - Last synced: 13 days ago - Pushed: 3 months ago - Stars: 6 - Forks: 0

runtime-monitoring/whymon

A runtime monitoring tool that produces explanations as verdicts

Language: Isabelle - Size: 173 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

wodeni/image-synthesis-explained

A 🐢🐱 explanation of generative neural nets

Language: Jupyter Notebook - Size: 455 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 5 - Forks: 0

ModelOriented/modelStudio

πŸ“ Interactive Studio for Explanatory Model Analysis

Language: R - Size: 36.2 MB - Last synced: 25 days ago - Pushed: 9 months ago - Stars: 319 - Forks: 32

MI2DataLab/survshap

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Language: Jupyter Notebook - Size: 8.99 MB - Last synced: 25 days ago - Pushed: 5 months ago - Stars: 71 - Forks: 14

EloiZ/awesome_explainable_driving

A curated list of papers on explainability and interpretability of self-driving models

Size: 3.91 KB - Last synced: about 2 months ago - Pushed: over 3 years ago - Stars: 6 - Forks: 0

MI2DataLab/xlungs-trustworthy-los-prediction

Trustworthy LoS Prediction Based on Multi-modal Data (AIME 2023)

Language: R - Size: 2.33 MB - Last synced: 25 days ago - Pushed: about 1 year ago - Stars: 7 - Forks: 1

lethaiq/GRACE_KDD20

GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and Data Mining (KDD)

Language: Python - Size: 3.44 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 21 - Forks: 5

josesousaribeiro/eXirt

A Explainable Artificial Intelligence tool focused in ensemble black box models, based in Item Response Theory, called eXirt.

Language: Python - Size: 948 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

feeney92/Group_Decision_Making_System

Final report and implementation of my systems to help groups make decisions using arguments

Language: Python - Size: 6.32 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0

jessicalally/explainable-rl-through-causality

Structural Causal Model (SCM) approach to explainable reinforcement learning

Language: Python - Size: 12.2 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

yuvalailer/nnplot

:tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights

Language: Python - Size: 10 MB - Last synced: 6 days ago - Pushed: over 4 years ago - Stars: 9 - Forks: 1

LWFlouisa/Expladaptable

An AI algorithm focused on explainability and adaptability for creating prolog knowledge bases.

Language: Ruby - Size: 0 Bytes - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

johnaaron-git/masters-thesis

A survey of 'explainable' deep learning anomaly detection methods that are compatible with dynamic graph data

Language: TeX - Size: 3.08 MB - Last synced: almost 1 year ago - Pushed: almost 1 year ago - Stars: 0 - Forks: 0

rachellea/explainable-ct-ai

CT scan machine learning models including AxialNet and HiResCAM

Language: Python - Size: 421 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

EPSOFT/explainable

explainable

Language: Jupyter Notebook - Size: 42 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 11 - Forks: 0

rehmanzafar/xai-iml-sota

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

Language: R - Size: 1.12 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 51 - Forks: 13

iamollas/Explainable_ML_Meetup

Explainable Machine Learning (Thessaloniki Machine Learning Meetup)

Language: Jupyter Notebook - Size: 17.6 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 9 - Forks: 0

KieranLitschel/XSWEM

A simple and explainable deep learning model for NLP.

Language: Jupyter Notebook - Size: 179 KB - Last synced: 28 days ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

chirag126/generative-attribution-methods Fork of anguyen8/generative-attribution-methods

Code for paper https://arxiv.org/abs/1910.04256

Size: 92 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

Related Keywords
explainable 22 xai 7 machine-learning 6 explainable-ai 5 explainable-ml 4 interpretability 4 interpretable 4 model 4 ai 3 deep-learning 3 explainable-artificial-intelligence 3 machine 3 learning 3 interpretable-machine-learning 3 tensorflow 2 iml 2 visualization 2 survival 2 explainable-deepneuralnetwork 2 data 2 dataset 2 neural-network 2 shap 2 artificial-intelligence 2 classification 1 dynamic-graphs 1 anomaly-detection 1 staticprologgenerator 1 nlp 1 selfprogramming 1 ruby 1 prologinterpreter 1 prolog 1 adaptable 1 simple 1 xai-library 1 weights-visualization 1 visualization-tools 1 pruning 1 neural-networks 1 neural-network-python 1 neural-network-architectures 1 swem 1 word-embeddings 1 keras-visualization 1 keras-neural-networks 1 structural-causal-model 1 rl 1 explainable-rl 1 causality 1 argumentation 1 interpretable-models 1 interpretable-learning 1 interactive-machine-learning 1 human-in-the-loop-machine-learning 1 human-in-the-loop 1 explanation-methods 1 explaining-ai 1 explainable-models 1 deep-learning-visualization 1 model-interpretability 1 researchers 1 seaborn 1 numpy 1 examples 1 database 1 pytorch 1 meetup-notes 1 fast 1 global-explanation 1 glove 1 keras 1 local-explanation 1 python 1 medical-image 1 hirescam 1 grad-cam 1 ct-scan 1 cnn 1 model-visualization 1 interactivity 1 interactive 1 human 1 explanatory-model-analysis 1 explainable-machine-learning 1 gan 1 datavisualization 1 temporal-logic 1 runtime-monitoring 1 proteomics-data-analysis 1 omics 1 missing-value-imputation 1 differential-gene-expression 1 data-integration 1 shap-values 1 permutation-importances 1 individual-trees 1 explainerdashboard 1 shapley-value 1 shapley-q-value 1