Pinned Repositories
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Notes about courses Dive into Deep Learning by Mu Li
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02456-deep-learning
Exercises and supplementary material for the deep learning course 02456.
2019-ZJU_SummerResearch
The task is to restate a thesis and redo the experiment following the instructions in the paper.
4EK608_4EK416
Materials for the Advanced Econometric 1 - courses 4EK608 and 4EK416
academic-drawing
Providing codes (including Matlab and Python) for visualizing numerical experiment results.
air_pollutants_prediction_lstm
This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGBM and ARIMA
ARIMA---Moving-Average
Dockless_Mobility
ARIMA-LSTM-hybrid-corrcoef-predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
spatial-temporal-forecast
xiang526's Repositories
xiang526/-
Notes about courses Dive into Deep Learning by Mu Li
xiang526/4EK608_4EK416
Materials for the Advanced Econometric 1 - courses 4EK608 and 4EK416
xiang526/BayesianTimeSeries
xiang526/Bigscity-LibCity
LibCity: An Open Library for Urban Spatio-temporal Data Mining
xiang526/Causal-Inference-with-Bayesian-Structural-Time-Series-Models
Applying Bayesian structural time series models to extract the causal impact of events on system evolution.
xiang526/causalimpact
Python port of CausalImpact R library
xiang526/CausalImpact-1
An R package for causal inference in time series
xiang526/Community_Discovery_algorithm_comparison
Code and results of internship work performed by Carlos Vargas under supervision of Phd Rémy Cazabet, at LIRIS (https://liris.cnrs.fr/).
xiang526/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)
xiang526/KeyCommutingRoutes
This code is a framework of key commuting routes mining algorithm based on license plate recognition(LPR) data.
xiang526/metstab-shap
Analyse metabolic stability predictions using SHapley Additive exPlanations.
xiang526/mgwr
Multiscale Geographically Weighted Regression (MGWR)
xiang526/more-complete-prediction
xiang526/Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods.
xiang526/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
xiang526/prais
Prais-Winsten estimator for AR(1) serial correlation
xiang526/Python-CommonCode
xiang526/R-files-from-YouTube
R and Data Files from my YouTube Channel
xiang526/scikit-mobility
scikit-mobility: mobility analysis in Python
xiang526/shap-kit
SHapley Additive exPlanations
xiang526/SHapley-Additive-exPlanations--SHAP
SHapley Additive exPlanations SHAP implementation
xiang526/spatial_COVID_19
Data and code release for "The spatial dissemination of COVID-19 and associated socio-economic consequences"
xiang526/Spatio-temporal-impact-of-COVID-19-on-Taxi-travel-demand-in-New-York-City
Graduation Thesis
xiang526/ST-Attn
Multi-step Citywide Crowd Flow Prediction
xiang526/ST-HAttn
A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction
xiang526/Stats507_F21
Student materials for Stats/Datasci 507, Fall 2021.
xiang526/TAGCN
xiang526/tutorials
Repo for the material used during conference tutorial and talks
xiang526/Understanding-travel-behavior-adjustment-under-COVID-19
xiang526/XAI_Shap_Guide
Explaibable Artificial Intelligence on SHapley Additive exPlanations (SHAP) Guide