★
FinGPT 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打开源免费。
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
TradeMaster-NTU / TradeMaster
TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
TradeMaster 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅，主打开源免费。
目前累计 3.1k star、563 fork，主要语言为 Jupyter Notebook，项目始于 2022 年，采用 Apache-2.0 许可。最近状态：已有一段时间未更新。适合：想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目；无维护条目时依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经项目方确认，不构成选型结论。TradeMaster-NTU/TradeMaster 是一个以 Jupyter Notebook 为主的开源项目，目前累计 3.1k star、563 fork，一年以上有维护。主要方向：finance、fintech、investment-strategies、jupyter-notebook、machine-learning、Python。
依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经人工逐项核实。financefintechinvestment-strategiesjupyter-notebookmachine-learningPythonpytorchquantitative-tradingreinforcement-learningstock-markettrading-platform
README
正在加载…相关项目
★
industry-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
★
amazon-sagemaker-examples 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
★
llama-cookbook 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you …
★
machine-learning-for-trading 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
★
homemade-machine-learning 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained