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reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

relieff

Implementations of the Relief family of feature selection algorithms.

resautonet

saconvsltm

Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on MovingMNIST.

sarimax

We are detecting events based on dockless scooter trips in Austin

scikit-mobility

scikit-mobility: mobility analysis in Python

seismicity-and-induced-earthquakes

A project inspired by recent and ongoing 'Fracking' debate in the UK. The notebook has four sections. Firstly, it looks at whether RFM modelling and k-means clustering can be used to classify areas according to earthquake risk. Then, spatio-temporal seismic patterns are assessed. Linear regression is used to see if there is a correlation between UIC activity and earthquakes, before sentiment analysis is carried out on Twitter data.

semantic_relationships

Framework to understand semantic relationships between geographical areas based on object movement paths (trajectories).

seq2seq

Sequence to Sequence Learning with Keras

seq2seq_model_live

shanghai_transportation

上海市交通流量时空模式挖掘

shap-kit

SHapley Additive exPlanations

shapley-additive-explanations--shap

SHapley Additive exPlanations SHAP implementation

shortest-distance-vs-l2-distance

Using osmnx and networkx to calculate the ratio of shortest path to L2 distance

social-stgcnn

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

spatial-temporal-forecast

spatial_autocorrelation

spatial_covid_19

Data and code release for "The spatial dissemination of COVID-19 and associated socio-economic consequences"

spatio-temporal-impact-of-covid-19-on-taxi-travel-demand-in-new-york-city

Graduation Thesis

spatio-temporal-mobile-traffic-forecasting

Mobile Traffic Prediction using Deep Learning models

spatio-temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

st-attn

Multi-step Citywide Crowd Flow Prediction

st-cga

st-dbscan

Implementation of ST-DBSCAN algorithm based on Birant 2007

st-hattn

A spatiotemporal hierarchical attention mechanism for Multi-step station-level crowd flow prediction

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

stats507_f21

Student materials for Stats/Datasci 507, Fall 2021.

step

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

stepwise-interpretable-machine-learning

stgcn-ijcai-18

Spatio-Temporal Graph Convolutional Networks