Stars
A Datacenter Scale Distributed Inference Serving Framework
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
From-scratch C++/CUDA inference engine for Qwen3-8B
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Learn it. Build it. Ship it for others.
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
from vibe coding to agentic engineering - practice makes claude perfect
LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.
A agent framework based on the tutorial hello-agents
Beginner, advanced, expert level Rust training material
TradingAgents: Multi-Agents LLM Financial Trading Framework
An exabyte-scale, multi-region distributed file system
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori…
[VLDB 2023 Vol 17] "An Empirical Evaluation of Columnar Storage Formats"
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
a course to help you learn C++20 coroutine and liburing
Machine Learning Engineering Open Book
A native Delta implementation for integration with any query engine
My learning notes for ML SYS.