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Lists (22)
00. ⌨️ Dev Environments ⌨️
Technologies, tools, and configurations I use for my development environment.106 repositories
01. 🦙 Model: LLM 🦙
Repositories for Large Language Models (LLM), frameworks, and datasets.20 repositories
01. 💾 Stack: Backend 💾
Frameworks, libraries, and technologies for building and maintaining backend systems.50 repositories
01. 📡 Stack: DevOps 📡
Tools, platforms, and practices for DevOps, including CI/CD, automation, and infrastructure.65 repositories
01. 🛰️ Stack: MLOps 🛰️
A comprehensive list of tools and platforms for Machine Learning Operations (MLOps).131 repositories
01. 🐍 Stack: Python 🐍
Useful Python modules and libraries that I frequently use.116 repositories
01. 🚄 Stack: XPU 🚄
Libraries, tools, and frameworks for XPU (GPU, TPU, NPU, ...) programming, focusing on CUDA and kernel optimization.49 repositories
02. 🤖 Model: ML 🤖
Repositories for Machine Learning (ML) models, frameworks, and datasets.45 repositories
02. 🧑🏻🔧 Stack: Agent 🧑🏻🔧
Repositories related to AI Agents, including LLM-based autonomous agents and multi-agent systems.76 repositories
03. 🐥 Stack: Frontend 🐥
Frameworks, libraries, and tools for frontend development.22 repositories
98: 🧑🏭 Study: Agent 🧑🏭
A study list of repositories for learning about and experimenting with AI Agents.11 repositories
98. 💿 Study: Backend 💿
Educational resources and projects for learning backend development.27 repositories
98. 🔬 Study: DevOps 🔬
A study guide to DevOps, containing tutorials, guides, and example projects.20 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).20 repositories
98. 🚀 Study: MLOps 🚀
A curated study list for understanding and implementing MLOps pipelines and practices.54 repositories
98. 🚅 Study: XPU 🚅
Resources dedicated to learning XPU (GPU, TPU, NPU, ...) programming, focusing on CUDA and GPU Kernels.18 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.49 repositories
99. 📑 GitHub Pages 📑
Tools, themes, and examples for building static sites with GitHub Pages.21 repositories
Starred repositories
A self-hosted data logger for your Tesla 🚘 [main maintainer=@JakobLichterfeld]
Collective communications library with various primitives for multi-machine training.
Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster
Cross-platform lib for process and system monitoring in Python
cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions.
Manages Unified Access to Generative AI Services built on Envoy Gateway
Source code repo for book: Hands-On LLM Serving and Optimization: Hosting LLMs at Scale
Google SRE Book Generator (EPUB/MOBI/PDF).
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Research prototype of PRISM — a cost-efficient multi-LLM serving system with flexible time- and space-based GPU sharing.
🚦 Kubernetes-native Job Queueing and Scheduling
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
Early-stage Rust drop-in alternative frontend for vLLM
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
1 place to call all your agents - OpenCode, Hermes, Claude Managed Agents, Cursor Agents API, DeepAgents.
A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
Send User Notifications on macOS from the command-line.
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.