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Codes for the SI simulation of the spatial diffusion project.
Introduction to Data Science with R
Video Anomaly Detection with Causal Long Short-Term Memory networks
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.
Storing GIS data with temporal information (events data) in k-dimensional trees for efficient querying, designed to aid clustering algorithms such as DBSCAN.
This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
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 (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs
Matlab demo code for implementation and usage of the Split Covariance Intersection Filter (Split CIF)
[PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
Code for "Convergence of Learning Dynamics in Stackelberg Games"
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
The implementation of Spatio-temporal DBSCAN algorithm
Code for our Spatiotemporal Dynamic Network
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
Personalized spatio-temporal graph network for the next POI recommendation
STL:Online Detection of Taxis Trajectory Anomaly based on Spatial-Temporal Laws
The supervised Dimension Reduction Algorithm solved via ISM
Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
This is archive of older Jupyter notebooks for demonstrating Stone Soup. Please see up to date notebooks on https://stonesoup.rtfd.io/
Research and master thesis in streaming frameworks
A streaming implementation of various stochastic timeseries predictors.
Portfolio website template
Sumo OSM short usage tutorial
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.
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).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.