Chung-Yeon Lee (jamixlee)

jamixlee

Geek Repo

Location:대한민국

Home Page:http://bi.snu.ac.kr/~cylee

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Organizations
swstarlab

Chung-Yeon Lee's repositories

placenet

Implementation of PlaceNet

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House3D

a Realistic and Rich 3D Environment

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malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment.

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tensorly_notebooks

Example notebooks for TensorLy

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3D-Machine-Learning

A resource repository for 3D machine learning

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arkref

http://www.ark.cs.cmu.edu/ARKref/

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dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

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drive

Google Drive client for the commandline

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hippocampus-predictive-map

Reproduction of simulations from the paper "The hippocampus as a predictive map".

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wordtreeplus

Word Tree++

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libfreenect

Drivers and libraries for the Xbox Kinect device on Windows, Linux, and OS X

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Machine-Learning-Car-Damage-Detect-

This repository for car damage detect using Neural Networker

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MAgent

A Platform for Many-agent Reinforcement Learning

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

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oss-tutorial-math

Example project of the oss-tutorial

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phd_thesis_markdown

Template for writing a PhD thesis in Markdown

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

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robot-jumpstarter

robot-jumpstarter

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RoboThree

A lightweight simulation environment for robots

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southkorea-maps

South Korea administrative divisions in ESRI Shapefile, GeoJSON and TopoJSON formats.

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strands_hri

all the basic HRI packages we are going to use

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teleop_twist_keyboard

Generic Keyboard Teleop for ROS

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XWorld

A C++/Python simulator package for reinforcement learning

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