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.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A collection of research papers on decision, classification and regression trees with implementations.

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

moDel Agnostic Language for Exploration and eXplanation

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.

A curated list of gradient boosting research papers with implementations.

Throw in the towel.

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries