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leoncuhk/awesome-quant-ai

A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.

Apache-2.0Jupyter Notebook
Stars
643
Forks
136
Open issues
2
Last push
26d ago

About awesome-quant-ai

awesome-quant-ai is a free, open-source AI resource list by leoncuhk, written mainly in Jupyter Notebook. A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance. It has 643 GitHub stars and 136 forks, and was last updated 26d ago. It's released under the Apache-2.0 license, a standard open-source license.

License
Apache-2.0
Language
Jupyter Notebook
Stars
643
Last update
26d ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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awesome-quant-ai FAQ

Is awesome-quant-ai free?

Yes. awesome-quant-ai is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does awesome-quant-ai run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does awesome-quant-ai need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is awesome-quant-ai still maintained?

Yes. It was last updated 26d ago and has 2 open issues on GitHub.

What are alternatives to awesome-quant-ai?

Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, Prompt-Engineering-Guide, best-of-Agent-Harnesses, anomaly-detection-resources.

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