machine-learning-pipelines 开源项目推荐（143 个）

ClimbsRocks /auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

yzhao062 /combo

（AAAI' 20）用于机器学习模型组合的 Python 工具箱

terrytangyuan /distributed-ml-patterns

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

PacktWorkshops /The-Data-Science-Workshop

A New, Interactive Approach to Learning Data Science

MLBazaar /MLPrimitives

Primitives for machine learning and data science.

AlexIoannides /pipeliner

Machine learning pipelines for R.

vchaparro /wind-power-forecasting

Wind Power Forecasting using Machine Learning techniques.

bmabey /provenance

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

uzaymacar /exemplary-ml-pipeline

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

boschresearch /ExeKGLib

Python library for creating, validating, and executing machine learning pipelines represented as Executable Knowledge Graphs.

awesome-mlops /awesome-mlops-kubernetes

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 🚀

PERSIMUNE /explainer

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

lsjsj92 /kubeflow_example

kubeflow example

pop123-ux /HuggingFace-Project-Learning

A complete repo that showcases common usage & my knowledge of the Hugging Face API

charumakhijani /spark-ml-deployment

该项目在 GitHub 上没有填写描述

Ezzaldin97 /Batch-Serving-ML-Pipeline

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

simplybusiness /code-first-pipelines

A code-first way to define Ploomber pipelines

aravind-selvam /ml-pipeline-using-stroke-data

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.

PERSIMUNE /MAIT

Medical Artificial Intelligence Toolbox (MAIT): explainable machine learning for binary classification, survival analysis, and regression.

guiferviz /recipipe

Improved pipelines for data science projects.