cookiecutter-ml-dl

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

DO NOT FORK, CLICK ON "Use this template" - A github template to start a Python Project - this uses github actions to generate your project based on the template.

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Cookiecutter template for FastAPI projects using: Machine Learning, uv, Github Actions and Pytests

A template for new Swift iOS / macOS / tvOS / watchOS Framework project ready with travis-ci, cocoapods, Carthage, SwiftPM and a Readme file

Python-centric Cookiecutter for Molecular Computational Chemistry Packages

Machine Learning University: Decision Trees and Ensemble Methods

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

A cookiecutter recipe for JupyterLab extensions in Typescript