Topic: "explainable"
ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
Language: R - Size: 36.2 MB - Last synced at: about 11 hours ago - Pushed at: over 1 year ago - Stars: 332 - Forks: 32
AstraZeneca/awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Size: 622 KB - Last synced at: 13 days ago - Pushed at: almost 3 years ago - Stars: 150 - Forks: 12
MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Language: Jupyter Notebook - Size: 8.99 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 85 - Forks: 16
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 at: about 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 13
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 at: 6 days ago - Pushed at: over 4 years ago - Stars: 21 - Forks: 5
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: 71.9 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 19 - Forks: 7
EPSOFT/explainable
explainable
Language: Jupyter Notebook - Size: 42 KB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 12 - 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 at: 12 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 1
iamollas/Explainable_ML_Meetup
Explainable Machine Learning (Thessaloniki Machine Learning Meetup)
Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 9 - Forks: 0
breimanntools/xomics
Python framework for explainable omics analysis
Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 12 days ago - Pushed at: 10 months ago - Stars: 7 - 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 at: about 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1
EloiZ/awesome_explainable_driving
A curated list of papers on explainability and interpretability of self-driving models
Size: 3.91 KB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0
wodeni/image-synthesis-explained
A 🐶🐱 explanation of generative neural nets
Language: Jupyter Notebook - Size: 455 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
rachellea/explainable-ct-ai
CT scan machine learning models including AxialNet and HiResCAM
Language: Python - Size: 421 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
jessicalally/explainable-rl-through-causality
Structural Causal Model (SCM) approach to explainable reinforcement learning
Language: Python - Size: 12.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1
runtime-monitoring/whymon
A runtime monitoring tool that produces explanations as verdicts
Language: Isabelle - Size: 168 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 2
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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
KieranLitschel/XSWEM
A simple and explainable deep learning model for NLP.
Language: Jupyter Notebook - Size: 179 KB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
chirag-agarwall/generative-attribution-methods Fork of anguyen8/generative-attribution-methods
Code for paper https://arxiv.org/abs/1910.04256
Size: 92 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
hatvalues/pychirps
Software for CHIRPS, Ada-WHIPS and gbt-HIPS
Language: Python - Size: 462 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
LWFlouisa/Expladaptable
An AI algorithm focused on explainability and adaptability for creating prolog knowledge bases.
Language: Ruby - Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years 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 at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
