GitHub repo leaderboard by stars, growth rate and activity.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Instruction Tuning with GPT-4
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
Alpaca Trading API integrated with backtrader
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
AlpacaTradingAgent: Multi-Agents LLM Financial Trading Framework and perform trades on alpaca
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs) | Python | 18,941 | last pushed 5 months ago | |
| 2 | Instruction Tuning with GPT-4 | HTML | 4,332 | last pushed 3 years ago | |
| 3 | Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调 | Python | 3,712 | last pushed 3 years ago | |
| 4 | We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr! | Jupyter Notebook | 2,789 | last pushed 3 years ago | |
| 5 | mPLUG-Owl: The Powerful Multi-modal Large Language Model Family | Python | 2,539 | last pushed 1 year ago | |
| 6 | Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers. | Python | 2,054 | last pushed Yesterday | |
| 7 | A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio | Python | 849 | last pushed 3 years ago | |
| 8 | Alpaca Trading API integrated with backtrader | Python | 702 | last pushed 3 months ago | |
| 9 | C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram. | C++ | 675 | last pushed Yesterday | |
| 10 | AlpacaTradingAgent: Multi-Agents LLM Financial Trading Framework and perform trades on alpaca | Python | 261 | last pushed 5 days ago |
All · 11,658