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Scalable Time Series Data Analytics
Spatial-aware Graph Relation Network for Large-scale Object Detection
A Deep Denoising Autoencoder for Time Dependent Signals
SimCAI implementation for our paper: RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments,
Simulator for Complex Systems
디자인패턴 5가지를 적용한 항만 물류 시뮬레이션. (Strategy Pattern, Observer Pattern, Iterator Pattern, Decorator Pattern, Adapter Pattern)
InterSCSimulator code repository
An Interactive Android App with smart pothole detection and reporting them to authorities and displaying them on Maps
Smart City Simulator designed for hackathons !
SmartTrace is a prototype crowdsourced trajectory similarity search framework for smartphones. More info: http://smarttrace.cs.ucy.ac.cy/
[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.
[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.
[ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
Danny Crompton's Social Media, Crowdsourcing and Citizen Sensing Practical Assignment
Conflict Social Sensing
Contract examples for Ethereum
A collection of short yet fully-functional contracts that demonstrate Solidity language features.
A compilation of patterns and best practices for the smart contract programming language Solidity
Educational material for Solidity. Complement to solidity.readthedocs.com
This Matlab code is used to solve inverse scattering problem with convolutional neural network by BPS.
Some of my projects as a former mentor, reviewer, and beta-tester of Robotics and Self-Driving Car ND
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
A Nearest Neighbor Classifier for High-Speed Big Data Streams with Instance Selection
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Spatial analysis of parking occupancy in Seattle, WA.
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.