Soo-Heang EO (sooheang-hutom)

sooheang-hutom

Geek Repo

Company:HuToM

Location:Seoul, Republic of Korea

Home Page:https://github.com/sooheang

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Soo-Heang EO's repositories

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

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DANet

Dual Attention Network for Scene Segmentation

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dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

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dataset-annotator

Scalable, cross-platform ion-electron app that allows the user to annotate an image dataset.

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

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gradio-UI

Rapidly create UIs for prototyping your machine learning model in 3 minutes

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graphics

TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

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handson-ml

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

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ITK

Insight Toolkit (ITK) -- Official Repository

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keras

Deep Learning for humans

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keras-applications

Reference implementations of popular deep learning models.

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keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

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labelme

Image Polygonal Annotation with Python (polygon, rectangle, line, point and image-level flag annotation).

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LabelMeAnnotationTool

Source code for the LabelMe annotation tool.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises

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MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

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models

Models and examples built with TensorFlow

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PyKoSpacing

Automatic Korean word spacing with Python

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robot-surgery-segmentation

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

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Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

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serving

A flexible, high-performance serving system for machine learning models

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Sim-to-Real-Virtual-Guidance-for-Robot-Navigation

We present an effective, easy-to-implement, and low-cost modular framework for completing complex navigation tasks.

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styleguide

Official code style guide of Rainist

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sytleguide

Official code style guide of AISlab

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video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

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vision

Datasets, Transforms and Models specific to Computer Vision

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