Pinned Repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
DANet
Dual Attention Network for Scene Segmentation
dash
Interactive, Reactive Web Apps for Python. Dash Is Productive™
dataset-annotator
Scalable, cross-platform ion-electron app that allows the user to annotate an image dataset.
flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
gradio-UI
Rapidly create UIs for prototyping your machine learning model in 3 minutes
graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
ITK
Insight Toolkit (ITK) -- Official Repository
sooheang-hutom's Repositories
sooheang-hutom/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
sooheang-hutom/DANet
Dual Attention Network for Scene Segmentation
sooheang-hutom/dash
Interactive, Reactive Web Apps for Python. Dash Is Productive™
sooheang-hutom/dataset-annotator
Scalable, cross-platform ion-electron app that allows the user to annotate an image dataset.
sooheang-hutom/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
sooheang-hutom/glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
sooheang-hutom/gradio-UI
Rapidly create UIs for prototyping your machine learning model in 3 minutes
sooheang-hutom/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
sooheang-hutom/handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
sooheang-hutom/ITK
Insight Toolkit (ITK) -- Official Repository
sooheang-hutom/keras
Deep Learning for humans
sooheang-hutom/keras-applications
Reference implementations of popular deep learning models.
sooheang-hutom/keras-deeplab-v3-plus
Keras implementation of Deeplab v3+ with pretrained weights
sooheang-hutom/labelme
Image Polygonal Annotation with Python (polygon, rectangle, line, point and image-level flag annotation).
sooheang-hutom/LabelMeAnnotationTool
Source code for the LabelMe annotation tool.
sooheang-hutom/machine-learning-systems-design
A booklet on machine learning systems design with exercises
sooheang-hutom/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.
sooheang-hutom/models
Models and examples built with TensorFlow
sooheang-hutom/PyKoSpacing
Automatic Korean word spacing with Python
sooheang-hutom/robot-surgery-segmentation
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
sooheang-hutom/SageMakerActions
sooheang-hutom/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
sooheang-hutom/SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
sooheang-hutom/serving
A flexible, high-performance serving system for machine learning models
sooheang-hutom/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.
sooheang-hutom/styleguide
Official code style guide of Rainist
sooheang-hutom/sytleguide
Official code style guide of AISlab
sooheang-hutom/tutorials2019
sooheang-hutom/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
sooheang-hutom/vision
Datasets, Transforms and Models specific to Computer Vision