- Seoul, South Korea
- https://www.wonsangyou.com
Stars
provides all the codes from the book "RL from basics(바닥부터 배우는 강화학습)"
Repository for "AI/MD in Medicine" club in clubhouse
Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation).
In this repository, the source code and segmented mask from semantic segmentation network so-called Dermoscopic Skin Network (DSNet) of the skin lesion have been added.
A Tensorflow implementation of the paper arXiv:1604.03539
marvis / pytorch-YOLOv4
Forked from Tianxiaomo/pytorch-YOLOv4PyTorch ,ONNX and TensorRT implementation of YOLOv4
Few-shot Object Detection via Feature Reweighting
The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.
3D scene graph generator implemented in Pytorch.
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorith…
Volumetric parameterization of the placenta to a flattened template
AVP scripts for Woodcock et al., 2018 JNPN Automated Voxel Placement manuscript
A deep neural network for face alignment
Image registration laboratory for 2D and 3D image data
Nonrigid image registration using multi-scale 3D convolutional neural networks
Unsupervised Learning for Image Registration
Image augmentation for machine learning experiments.
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
An AI-powered open-source medical image analysis toolbox
A deep learning python package for neuroimaging data. Made by:
wonsang / placenta
Forked from lzhang124/fetalTemporal segmentation of BOLD MRI scans of the placenta
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Keras code and weights files for popular deep learning models.
Course Files for Complete Python 3 Bootcamp Course on Udemy