amazingchow
Hype starts to get real here and strong narrative, time to pay attention for me. Bet on things with venture return
Web 3.0 WorldShenzhen, Guangdong, China
Pinned Repositories
0xStock
沪深A股辅助选型工具(挑选出符合自研形态的股票)
aio-cryptapi
CryptAPI's Python Library, in Asynchronous IO Mode.
awesome-tcp-ip-learning-materials
Sharing valuable knowledge about TCP/IP.
ChatGPT-API-Proxy
Using Cloudflare Worker to proxy ChatGPT API requests.
clean-golang-grpc-project
Your best golang gRPC project template to create general gRPC services.
clean-python-grpc-project
Your best python gRPC project template to create general gRPC services.
crypto-trading-bot
币安打新机器人、网格机器人
generative-agents
Generative Agents in LangChain
pdd-order-management-tool
拼多多商家后台订单管理工具
traffic-forwarder
A TCP Traffic Forwarder
amazingchow's Repositories
amazingchow/awesome-engineering-toolbox
Sharing the arsenal of tools used in engineering development.
amazingchow/agentscope
Start building LLM-empowered multi-agent applications in an easier way.
amazingchow/amazingchow
My Github profile README.md
amazingchow/anything-llm
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
amazingchow/autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
amazingchow/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
amazingchow/awesome-cheatsheets
超级速查表 - 编程语言、框架和开发工具的速查表,单个文件包含一切你需要知道的东西 :zap:
amazingchow/ax
Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
amazingchow/camel
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
amazingchow/cloudflare-quickstart
一个关于cloudflare的简明入门教程
amazingchow/coolthings4u.com
amazingchow/crawlee-python
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.
amazingchow/exo
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
amazingchow/FlashRank
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
amazingchow/full-stack-fastapi-template
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
amazingchow/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
amazingchow/HippoRAG
HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized PageRank.
amazingchow/hnswlib
Header-only C++/python library for fast approximate nearest neighbors
amazingchow/infinity
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
amazingchow/langgraph
Build resilient language agents as graphs.
amazingchow/llama-agentic-system
Agentic components of the Llama Stack APIs
amazingchow/llama_index
LlamaIndex is a data framework for your LLM applications
amazingchow/llm-twin-course
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
amazingchow/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
amazingchow/mem0
The memory layer for Personalized AI
amazingchow/mistral-finetune
amazingchow/QAnything
Question and Answer based on Anything.
amazingchow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
amazingchow/shell-snippets
useful shell code snippets
amazingchow/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs