Large-Language-Model-Notebooks-Course vs TradingAgents
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Large-Language-Model-Notebooks-Course | TradingAgents | |
|---|---|---|
| Tagline | Practical course about Large Language Models | TradingAgents: Multi-Agents LLM Financial Trading Framework |
| Stars | 1.8k | 92k |
| Forks | 448 | 18k |
| Open issues | 0 | 279 |
| Language | Jupyter Notebook | Python |
| License | MIT | Apache-2.0 |
| Last pushed | May 28, 2026 | Jul 5, 2026 |
| Categories | Model Training, LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
Large-Language-Model-Notebooks-Course
A Jupyter Notebook-based course focusing on hands-on projects and techniques for Large Language Models (LLMs) using tools like Hugging Face, LangChain, and various fine-tuning methods. It covers topics such as chatbots, code generation, and model evaluation.
Jupyter Notebook
TradingAgents
A Python-based framework for developing multi-agent systems in the financial trading domain using large language models.
Python