xiang526's repositories
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Notes about courses Dive into Deep Learning by Mu Li
4EK608_4EK416
Materials for the Advanced Econometric 1 - courses 4EK608 and 4EK416
Bigscity-LibCity
LibCity: An Open Library for Urban Spatio-temporal Data Mining
Causal-Inference-with-Bayesian-Structural-Time-Series-Models
Applying Bayesian structural time series models to extract the causal impact of events on system evolution.
causalimpact
Python port of CausalImpact R library
CausalImpact-1
An R package for causal inference in time series
Community_Discovery_algorithm_comparison
Code and results of internship work performed by Carlos Vargas under supervision of Phd RĂ©my Cazabet, at LIRIS (https://liris.cnrs.fr/).
Customer-Behaviour-Prediction-with-Machine-Learning-and-SHAP-Interpretation
Banking Deposit Prediction with Python Machine Learning (XGBoost) and model interpretation with SHapley Additive exPlanations (SHAP)
KeyCommutingRoutes
This code is a framework of key commuting routes mining algorithm based on license plate recognition(LPR) data.
metstab-shap
Analyse metabolic stability predictions using SHapley Additive exPlanations.
mgwr
Multiscale Geographically Weighted Regression (MGWR)
Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods.
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
prais
Prais-Winsten estimator for AR(1) serial correlation
R-files-from-YouTube
R and Data Files from my YouTube Channel
scikit-mobility
scikit-mobility: mobility analysis in Python
shap-kit
SHapley Additive exPlanations
SHapley-Additive-exPlanations--SHAP
SHapley Additive exPlanations SHAP implementation
spatial_COVID_19
Data and code release for "The spatial dissemination of COVID-19 and associated socio-economic consequences"
ST-Attn
Multi-step Citywide Crowd Flow Prediction
ST-HAttn
A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction
Stats507_F21
Student materials for Stats/Datasci 507, Fall 2021.
tutorials
Repo for the material used during conference tutorial and talks
XAI_Shap_Guide
Explaibable Artificial Intelligence on SHapley Additive exPlanations (SHAP) Guide