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😀 Hi, I'm Jooyoung(Jay) Welcome. I am a spatial data scientist and image machine learning developer. The languages I mainly use are Python, R, and C++. Using Node.js, PyTorch, and YOLO as frameworks.
Nice to meet you, and thank you for visiting. 👋

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Jooyoung Yoo's Projects

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

awesome-deep-rl icon awesome-deep-rl

This project is for learning and researching on Deep RL. Maintained by University AI researchers.

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

libskeletal icon libskeletal

Implementation of a human pose estimation algorithm (modified Shotton et al)

mobilenet-ssd icon mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

paddledetection icon paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

pedsim_ros icon pedsim_ros

Pedestrian simulator powered by the social force model

sfanet-crowd-counting icon sfanet-crowd-counting

This is an unofficial implement of the arXiv paper Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting by PyTorch.

simulator icon simulator

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

streetview icon streetview

Python package for retrieving current and historical photos from Google Street View

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition APIs

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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