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Name: JP Hong
Type: User
Name: JP Hong
Type: User
3D Generative Adversarial Network
First few implementation of filters
A curated list of awesome computer vision resources
A collection of AWESOME things about domian adaptation
BCDU-Net : Medical Image Segmentation
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
Post jobs to a computing grid and store the results in a couch database local or remote
This project focus on visualization of quasi-tubular objects and the deformation driven by centerline
Programmable Model Compression
Conformalized Mean Curvature Flow
PyTorch implementation of "Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer"
Unsupervised Domain Adaptation Papers and Code
A python implementation of Deep-Image-Analogy based on pytorch.
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
Learning Continuous Signed Distance Functions for Shape Representation
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
building deep learning model fast & easy
The shared library generator for Nikos Komodakis's FastPD MRF optimization library
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.
Grading framework for COMP 110
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
Reference implementations of popular deep learning models.
A blank project example showing how to use libigl and cmake.
matlab code of thickness analysis
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.