[UNMAINTAINED] Automated machine learning for analytics & production

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

A New, Interactive Approach to Learning Data Science

Primitives for machine learning and data science.

Machine learning pipelines for R.

Provenance and caching library for python functions, built for creating lightweight machine learning pipelines

Wind Power Forecasting using Machine Learning techniques.

Exemplary, annotated machine learning pipeline for any tabular data problem.

Python library for Executable Machine Learning Knowledge Graphs

kubeflow example

ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel free to check it out, See ExplaineR paper at doi:10.1093/bioadv/vbae049

A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀

create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

A code-first way to define Ploomber pipelines

This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.

This project provides a machine learning pipeline to predict terrorist attack.

Improved pipelines for data science projects.

Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses