Stars
提供多款 Shadowrocket 规则,拥有强劲的广告过滤功能。每日 8 时重新构建规则。
Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.
Now we have become very big, Different from the original idea. Collect premium software in various categories.
TradingAgents: Multi-Agents LLM Financial Trading Framework
Go Optimization Guide: Patterns and Techniques for Writing High-Performance Applications with Go
Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
a Docker + Kubernetes network trouble-shooting swiss-army container
This workshop covers the entire process of using Milvus—from installation and basic concepts to core operations and practical applications. Combining theoretical explanations with extensive hands-o…
Submodular optimization for context engineering: query fan-out, text selection, passage reranking
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
a unified scheduler for online and offline tasks
The docs of MoonBit programming language
The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
Linux from beginner to master
An Innovative Agent Framework Driven by KG Engine
A python module to repair invalid JSON from LLMs
专为程序员编写的英语学习指南 v1.2。在线版本请点 ->
「海外工具网站」已经是我人生主要事业了,很庆幸还来得及,感谢这个伟大的 AI 时代。
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
😎 A curated list of awesome GitHub Profile which updates in real time
Causal Inference and Discovery in Python by Packt Publishing
change your Ip address automatically This tool based on tor project
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
llama3 implementation one matrix multiplication at a time
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for AIGC applications.




