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AlphaSmartDog/DeepLearningNotes

0
View on GitHub↗
379 stars·229 forks·Jupyter Notebook·MIT·6 views

DeepLearningNotes

机器学习和量化分析学习进行中

Features

  • Quantitative Trading Strategies - Machine learning applications in quantitative analysis.

Star history

Star history chart for alphasmartdog/deeplearningnotesStar history chart for alphasmartdog/deeplearningnotes

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does alphasmartdog/deeplearningnotes do?

机器学习和量化分析学习进行中

What are the main features of alphasmartdog/deeplearningnotes?

The main features of alphasmartdog/deeplearningnotes are: Quantitative Trading Strategies.

What are some open-source alternatives to alphasmartdog/deeplearningnotes?

Open-source alternatives to alphasmartdog/deeplearningnotes include: hudson-and-thames/mlfinlab — mlfinlab is a Python machine learning library for finance designed for building and validating models used in… llmquant/quant-wiki — quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering,… fincept-corporation/finceptterminal — FinceptTerminal is a quantitative finance platform and financial engineering library designed for asset valuation,… goldmansachs/gs-quant — gs-quant is a quantitative finance library and financial data analytics toolkit. It serves as a framework for… je-suis-tm/quant-trading — This project is a Python financial analytics framework and quantitative trading library. It provides a suite of… ceruleanacg/personae — 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for…

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