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awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-time-series-explainability

A list of (post-hoc) XAI for time series

blimey

Jupyter notebooks to reproduce various bLIMEy experiments

bostonml

causerec

data-science

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

eicu-code

Code and website related to the eICU Collaborative Research Database

emc-cols-recourse

Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

evaluation-local-explanation-time-series

Official repo of the paper "Evaluation of interpretability methods for multivariate time series forecasting"

fastar-rl-for-generating-ar

ijcars19_surgery

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

instance-based_cfe_tsc

This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classification.

interpretablenlp-acl2020

Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"

likert_scale_plot_in_python

limelight

Predicting broadway sales using time series forecasting

limesegment

Adapting LIME explanations for Time Series Data

machine-learning

this is my repository

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

mimic3-time-series

MIMIC-III Time Series Models

mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

multilabel-timeseries-classification-with-lstm

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

openxai

OpenXAI : Towards a Transparent Evaluation of Model Explanations

pgm-causal-reasoning

Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship

sand

[Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models

spain-visa-monitor

西班牙签证位置监听(base英国)

stock-prediction-dual-attention-based-rnn-

Financial time series forecast using dual attention RNN

stock-price-prediction-lstm

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

timeshap

TimeSHAP explains Recurrent Neural Network predictions.

what-if-tool

Source code/webpage/demos for the What-If Tool