- Seoul, South Korea
- blog.cheol.me
Starred repositories
The parser that repairs broken JSON output for AI Agent Pipelines
🎷No ceremony, just code. Blazing fast, typesafe binary serialization.
A cross-platform and extendable version manager with support for Java, Node.js, Golang, Python, Flutter, .NET & more
Script Commands let you tailor Raycast to your needs. Think of them as little productivity boosts throughout your day.
These are the best resources for System Design on the Internet
Everything you need to extend Raycast.
This repository is no longer maintained, please checkout https://github.com/JamesTGrant/kubectl-debug.
a Docker + Kubernetes network trouble-shooting swiss-army container
Podman: A tool for managing OCI containers and pods.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A collection of modern/faster/saner alternatives to common unix commands.
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A platform for community discussion. Free, open, simple.
💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.
Karabiner-Elements is a powerful tool for customizing keyboards on macOS
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
Naver Search Workflow for Alfred (알프레드 네이버 검색/사전/지도 자동완성 워크플로우)
🐻 Bear necessities for state management in React
Typesafe utilities for "action-creators" in Redux / Flux Architecture
Kyma is an opinionated set of Kubernetes-based modular building blocks, including all necessary capabilities to develop and run enterprise-grade cloud-native applications.
TypeScript/ES7 Decorators to create Vuex modules declaratively
Leetcode solutions organized by the problem categories
Papers from the computer science community to read and discuss.
🔮 A lightweight comments widget built on GitHub issues
Hearthstone simulator using C++ with some reinforcement learning
PlaidML is a framework for making deep learning work everywhere.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch