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pit-ray
Japan
Hi! 🐊
I love Vim and mainly use C/C++, Python, JavaScript, and some scripts. I have been developing software using Windows API and implementing machine learning.
Useful tools
- win-vind (operation tool for Windows)
- TxEditorCCTool (convert the setting file of a text editor to another one)
- ADT7310-CTR
Libraries
- fluent-tray (GUI library for system tray application)
- vim-autograd (Automatic differentiation library)
- tasksyslib (task-based C/C++ library for game development)
Machine Learning Implementation
How will you use the funds?
Buy a Mac and get win-vind MacOS support.
3 sponsors have funded pit-ray’s work.
Featured work
-
pit-ray/win-vind
You can operate Windows with key bindings like Vim.
C++ 1,966 -
pit-ray/fluent-tray
Fluent design-based GUI library for system tray applications written in C++ single header.
C++ 20 -
pit-ray/Anime-Semantic-Segmentation-GAN
This repository was implemented to perform semantic segmentation for pixiv anime illust.
Python 55 -
pit-ray/SPADE-pix2pix-for-Anime
pix2pix with SPADE to generate from segmented label to anime
Python 25 -
pit-ray/vim-autograd
Automatic differentiation library written in pure Vim script.
Vim Script 26 -
pit-ray/dotfiles
my dotfiles
Vim Script 4