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Google Research
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Collection of notebooks about quantitative finance, with interactive python code.
Portfolio and risk analytics in Python
Performance analysis of predictive (alpha) stock factors
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for b…
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-from-space
A way to use N-Beats in fastai for sequence data
This repository holds the Jupyter Notebook I used for the TiSeLaC challenge article.