tsubasa-alife
ゲームプログラマー、ゲームAIエンジニア。プロフィールアイコンのぽめちゃんは、てまりまろさん(https://twitter.com/temariame14)に作成していただいたものです。
Tokyo
tsubasa-alife's Stars
nozaq/shogi-rs
A Bitboard-based shogi library in Rust. Board representation, move generation/validation and time control utilities.
discord/embedded-app-sdk
🚀 The Discord Embedded App SDK lets you build rich, multiplayer experiences as Activities inside Discord.
ADockhorn/HearthstoneAICompetition
2020 Hearthstone-AI Comeptition
HearthSim/SabberStone
Just another Hearthstone Simulator in C# .Net Core, with some A.I. approaches!
gameprogcpp/code
Game Programming in C++ Code
tsoftwareinc/libshogi
tomori-k/ShogiLibSharp
将棋ライブラリ(C#)
yaneurao/MyShogi
マイナビさんから発売した『将棋神やねうら王』(2018年発売)の将棋用GUIです。
godotengine/godot-docs
Godot Engine official documentation
godotengine/godot
Godot Engine – Multi-platform 2D and 3D game engine
r0x0r/pywebview
Build GUI for your Python program with JavaScript, HTML, and CSS
gree/unity-webview
smly/mjai.app
Mahjong game simulator for RiichiLab https://mjai.app
gunyarakun/python-shogi
A pure Python shogi library with move generation and validation and handling of common formats.
TadaoYamaoka/cshogi
高速なPythonの将棋ライブラリ (A Fast Shogi Library for Python)
phaserjs/phaser
Phaser is a fun, free and fast 2D game framework for making HTML5 games for desktop and mobile web browsers, supporting Canvas and WebGL rendering.
tensorflow/tfjs-examples
Examples built with TensorFlow.js
tensorflow/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
ctgk/PRML
PRML algorithms implemented in Python
Tama4649/18gou_kifu
人造棋士18号の将棋倶楽部24での対局棋譜です。
yaneurao/YaneuraOu
YaneuraOu is the World's Strongest Shogi engine(AI player) , WCSC29 1st winner , educational and USI compliant engine.
CyberAgentGameEntertainment/UnityPerformanceTuningBible
Unity Performance Tuning knowledge book
lukasschwab/arxiv.py
Python wrapper for the arXiv API
slack-go/slack
Slack API in Go, originally by @nlopes; Maintainers needed, contact @parsley42
mathnet/mathnet-numerics
Math.NET Numerics
oreilly-japan/deep-learning-from-scratch-4
『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)
oreilly-japan/deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
oreilly-japan/deep-learning-from-scratch-2
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
oreilly-japan/deep-learning-from-scratch
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
exaloop/codon
A high-performance, zero-overhead, extensible Python compiler using LLVM