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spatial_diffusion

Codes for the SI simulation of the spatial diffusion project.

spatialdatascience

Introduction to Data Science with R

spatio-temporal-anomaly-detection-with-causallstm-networks

Video Anomaly Detection with Causal Long Short-Term Memory networks

spatio-temporal-dbscan

Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example could be GPS trajectories collected using mobile devices.

spatio-temporal-forecasting-of-events-using-graph-convolutional-neural-networks

spatiotemporal-dbscan-using-kdtrees

Storing GIS data with temporal information (events data) in k-dimensional trees for efficient querying, designed to aid clustering algorithms such as DBSCAN.

spectral-trajectory-and-behavior-prediction

This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory

spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

spiking-neural-network-simulations

A series of simulations organized as homework assignments that were part of the course on Neuromorphic Engineering at IIT Bombay (course code: EE 746), taught by Professor Bipin Rajendran

spinn

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

splitcif

Matlab demo code for implementation and usage of the Split Covariance Intersection Filter (Split CIF)

sst-gnn

[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

st_dbscan

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

stackelberg-code

Code for "Convergence of Learning Dynamics in Stackelberg Games"

stat453-deep-learning-ss21

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)

stdbscan

The implementation of Spatio-temporal DBSCAN algorithm

stdn

Code for our Spatiotemporal Dynamic Network

stgat

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

stgcn-poi-recommendation

Personalized spatio-temporal graph network for the next POI recommendation

stl

STL:Online Detection of Taxis Trajectory Anomaly based on Spatial-Temporal Laws

stochastic_ism

The supervised Dimension Reduction Algorithm solved via ISM

stockinference-spark

Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.

stone-soup-notebooks

This is archive of older Jupyter notebooks for demonstrating Stone Soup. Please see up to date notebooks on https://stonesoup.rtfd.io/

streaming-frameworks

Research and master thesis in streaming frameworks

streaming-stochastic-predictors

A streaming implementation of various stochastic timeseries predictors.

studorlio

Portfolio website template

sumo-openstreetmap

Sumo OSM short usage tutorial

sumo-traci_osm

This repository contains a Python Script and a SUMO configuration (.sumocfg) file. On running the Python Script, you are asked to input any location name (better keep it specific like - New York City, Carnegie Mellon University). This geographic location is converted into coordinates using geocoder library. Then using Selenium library, a map of the given location in .osm format is downloaded into your default downloads folder. This file is then moved into your working directory (for which you will have to change the variable 'destination' in the python script). After the map.osm file is moved to the working directory, the network from this map is extracted into .net.xml format. Using randomTrips.py, random routes are generated in the network. In the .sumocfg file, the network file, route file and output files are declared. Now, in the Python Script, TraCI is used to simulate the .sumocfg file and the output is stored in .out.xml format file.

sumoactivitygen

An Activity-based Multi-modal Mobility Scenario Generator for SUMO. This project is available in the Eclipse SUMO contributed tools section (https://github.com/eclipse/sumo/tree/master/tools/contributed) under the name SAGA (SUMO Activity GenerAtion).