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fusion-research's Projects

sfa icon sfa

Scalable Time Series Data Analytics

sgrn_torch icon sgrn_torch

Spatial-aware Graph Relation Network for Large-scale Object Detection

simcai icon simcai

SimCAI implementation for our paper: RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments,

simcx icon simcx

Simulator for Complex Systems

simulationofportlogistics icon simulationofportlogistics

디자인패턴 5가지를 적용한 항만 물류 시뮬레이션. (Strategy Pattern, Observer Pattern, Iterator Pattern, Decorator Pattern, Adapter Pattern)

smart_ville icon smart_ville

An Interactive Android App with smart pothole detection and reporting them to authorities and displaying them on Maps

smarttrace icon smarttrace

SmartTrace is a prototype crowdsourced trajectory similarity search framework for smartphones. More info: http://smarttrace.cs.ucy.ac.cy/

social-nce icon social-nce

[ICCV21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

social-nce-stgcnn icon social-nce-stgcnn

[ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.

social-stgcnn icon social-stgcnn

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

solidity-by-example icon solidity-by-example

A collection of short yet fully-functional contracts that demonstrate Solidity language features.

solidity-patterns icon solidity-patterns

A compilation of patterns and best practices for the smart contract programming language Solidity

some-udacity-projects icon some-udacity-projects

Some of my projects as a former mentor, reviewer, and beta-tester of Robotics and Self-Driving Car ND

spark-infotheoretic-feature-selection icon spark-infotheoretic-feature-selection

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.

spark-is-streaming icon spark-is-streaming

A Nearest Neighbor Classifier for High-Speed Big Data Streams with Instance Selection

spark-py-notebooks icon spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

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