Donghwee Yoon (DonghweeYoon)

DonghweeYoon

Geek Repo

Company:AITRICS

Location:Seoul, South Korea

Github PK Tool:Github PK Tool

Donghwee Yoon's repositories

Stargazers:2Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

WICWIU

WICWIU(What I can Create is What I Understand)는 한동대 딥러닝 연구실에서 국내 대학으로는 최초로 공개하는 딥러닝 오픈소스 프레임워크입니다. WICWIU는 모든 API가 C++로 제공되어 메모리 및 성능 최적화에 유리합니다. 또한, 응용시스템의 개발 외에도 프레임워크 자체를 특수한 환경에 맞도록 수정 및 확장이 가능합니다. WICWIU는 Apache2.0 라이선스를 적용해 연구 목적 및 상용 목적으로 제약 없이 활용 가능합니다.

Language:C++License:Apache-2.0Stargazers:1Issues:0Issues:0

FCHarDNet

Fully Convolutional HarDNet for Segmentation in Pytorch

Language:PythonStargazers:0Issues:0Issues:0

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Language:C++License:NOASSERTIONStargazers:0Issues:0Issues:0

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

SRFlow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:0Issues:0

Two-Layer-Hierarchical-Softmax-PyTorch

Two-Layer Hierarchical Softmax Implementation for PyTorch

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

vision

Datasets, Transforms and Models specific to Computer Vision

License:BSD-3-ClauseStargazers:0Issues:0Issues:0