xiang526's repositories
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
ST-DBSCAN
Implementation of ST-DBSCAN algorithm based on Birant 2007
NHT-US30-Impact-Analysis
Smart Multi-modal Transportation Solutions for North Huntingdon Township in Response to Roadway Construction Projects on Route-30
Trajectory_Segmentation
This repo contains the code and sample data for "Discovery of Driving Patterns by Trajectory Segmentation" paper.
pyro-torch-normalizing-flows
Implementations of Normalizing Flows in Pytorch/Pyro
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers-1
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pygeo-tutorial
Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
hydro-climatic-biomes
a multi-task learning approach to discover the spatial relationships among different locations by learning a low-dimensional representation of predictive structures.
ECML_PKDD_2019
Code for the article submitted at ECML PKDD 2019: Detecting Stable Communities in Link Streams at Multiple Temporal Scales
Spatio-Temporal-mobile-traffic-forecasting
Mobile Traffic Prediction using Deep Learning models
TGGNet-keras
Official implementation of Temporal-Guided Networks
DeepJMQR
Deep joint mean and quantile regression for spatio-temporal problems
TransportationNetworks
Transportation Networks for Research
awesome-community-detection
A curated list of community detection research papers with implementations.
ClimateVegetationDynamics_GrangerCausality
Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017
STSGCN
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Capstone-1-Bike-Share-Project
Data Science - Capstone Project 1: Bike sharing systems have been increasing in demand over the past two decades as a result of rapid advancements in technology. Healthy Ride is a public bicycle sharing system that serves parts of Pittsburgh to fulfill the growing need for changes in mobility pattern. Healthy Ride is operated by Pittsburgh Bike Share and has plans for expansion to reach new neighborhoods by adding more stations, including several electric bikes to help riders navigate Pittsburgh’s hilly geography, located throughout the city. In this project, we determine the results of machine learning models such as decision tree, Lasso, Ridge Regression, Random forests, Support-Vector, XG Boosting, Gradient Boosting and Linear Regression. The effect of factors such as weather, geographic location, time of day, day of week. Bike score, Walk-score, distance between stations etc. on the number of bikes at bike-share station are investigated.
tflm
Advanced Transformations and Interactions for Linear Models using Hybrid Machine Learning Models and SHapley Additive exPlanations
SARIMAX
We are detecting events based on dockless scooter trips in Austin
Predictions-for-Cab-Booking-Application
Objective of this project was to combine historical usage pattern along with the open data sources like weather data to forecast cab booking demand in a city.
nested-multinomial-logit-model-
CUSP & Arcadis project, researching the impact of Manhattan Congestion Surcharge on For-Hire-Vehicles
ASTGCN-r-pytorch
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
DeepKalmanFilter
Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
probability
Probabilistic reasoning and statistical analysis in TensorFlow
Graph-WaveNet
graph wavenet
trivial-geospatial-example-for-binder
Trivial example showing usage of Binder for geospatial computation
academic-drawing
Providing codes (including Matlab and Python) for visualizing numerical experiment results.
STGCN_IJCAI-18
Spatio-Temporal Graph Convolutional Networks