junebeomstics Goto Github PK
Name: Junbeom Kwon
Type: User
Company: SNU Connectome Lab
Bio: Research Associate at Seoul National University Contact: [email protected]
Name: Junbeom Kwon
Type: User
Company: SNU Connectome Lab
Bio: Research Associate at Seoul National University Contact: [email protected]
Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
3D StyleGAN2 for Medical Images
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A curated list of awesome self-supervised methods
Code repo for Attend and Decode: 4D fMRI Task State Decoding Using Attention Models, https://arxiv.org/abs/2004.05234
PyTorch implementation of BEVT (CVPR 2022) https://arxiv.org/abs/2112.01529
BrainSurfCNN for individualized prediction of task contrasts from resting-state functional connectivity
Reproduction of the NeurIPS 2022 paper Brain Network Transformer.
A toolkit for scaling law research ⚖
CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans
The 3rd edition of course.fast.ai
Deep Learning for Coders, 2020, the website
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation"
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Implementation of f-AnoGAN with PyTorch
Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.
The fastai book, published as Jupyter Notebooks
The official pytorch implementation of the MICCAI 2021 paper "Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition"
Self-supervised fMRI foundation model
fMRI-to-image reconstruction on the NSD dataset.
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.