Lists (25)
00. ⌨️ Dev Environments ⌨️
Technologies, tools, and configurations I use for my development environment.101 repositories
01. 🐳 Exp: AgileSoDA 🐳
Technologies and models I worked with at AgileSoDA.52 repositories
02. 🧇 Exp: Tmax WAPL 🧇
Technologies and tools I worked with at Tmax WAPL.5 repositories
03. ⚛️ Exp: GenON ⚛️
Technologies and tools I worked with at GenON.47 repositories
97. 🦙 Model: LLM 🦙
Repositories for Large Language Models (LLM), frameworks, and datasets.20 repositories
97. 🤖 Model: ML 🤖
Repositories for Machine Learning (ML) models, frameworks, and datasets.45 repositories
97. 🧑🏻🔧 Stack: Agent 🧑🏻🔧
Repositories related to AI Agents, including LLM-based autonomous agents and multi-agent systems.64 repositories
97. 💾 Stack: Backend 💾
Frameworks, libraries, and technologies for building and maintaining backend systems.48 repositories
97. 📡 Stack: DevOps 📡
Tools, platforms, and practices for DevOps, including CI/CD, automation, and infrastructure.55 repositories
97. 🐥 Stack: Frontend 🐥
Frameworks, libraries, and tools for frontend development.22 repositories
97. 🛰️ Stack: MLOps 🛰️
A comprehensive list of tools and platforms for Machine Learning Operations (MLOps).94 repositories
97. 🐍 Stack: Python 🐍
Useful Python modules and libraries that I frequently use.110 repositories
97. 🚄 Stack: XPU 🚄
Libraries, tools, and frameworks for XPU (GPU, TPU, NPU, ...) programming, focusing on CUDA and kernel optimization.42 repositories
98: 🧑🏭 Study: Agent 🧑🏭
A study list of repositories for learning about and experimenting with AI Agents.5 repositories
98. 💿 Study: Backend 💿
Educational resources and projects for learning backend development.26 repositories
98. 🔬 Study: DevOps 🔬
A study guide to DevOps, containing tutorials, guides, and example projects.17 repositories
98. 👶🏻 Study: Frontend 👶🏻
Learning resources for frontend technologies, frameworks, and design patterns.6 repositories
98. 🦾 Study: ML 🦾
Educational materials, tutorials, and projects for studying Machine Learning (ML).19 repositories
98. 🚀 Study: MLOps 🚀
A curated study list for understanding and implementing MLOps pipelines and practices.40 repositories
98. 🚅 Study: XPU 🚅
Resources dedicated to learning XPU (GPU, TPU, NPU, ...) programming, focusing on CUDA and GPU Kernels.15 repositories
99. 🐘 BOAZ 🐘
Projects and materials from my activities at BOAZ, Korea's first inter-university big data club.11 repositories
99. 🔭 Career 🔭
Resources for career development, interview preparation, and job searching.42 repositories
99. 🧗 Conferences 🧗
My speaking engagements, presentations, and materials from conferences.2 repositories
99. 💻 Etc. 💻
Miscellaneous repositories, tools, and interesting projects that don't fit into other categories.47 repositories
99. 📑 GitHub Pages 📑
Tools, themes, and examples for building static sites with GitHub Pages.22 repositories
Starred repositories
Perplexity open source garden for inference technology
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
Gin is a high-performance HTTP web framework written in Go. It provides a Martini-like API but with significantly better performance—up to 40 times faster—thanks to httprouter. Gin is designed for …
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
Examples demonstrating available options to program multiple GPUs in a single node or a cluster
ebpf-go is a pure-Go library to read, modify and load eBPF programs and attach them to various hooks in the Linux kernel.
Robust Speech Recognition via Large-Scale Weak Supervision
🔎 Open source distributed and RESTful search engine.
eBPF-based Networking, Security, and Observability
CNCF Jaeger, a Distributed Tracing Platform
빅데이터 분석기사 실기 준비 자료
Next Generation Agentic Proxy for AI Agents and MCP servers
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.