ml-pipelines 开源项目推荐（74 个）

whylabs /whylogs

用于机器学习模型和数据管道的开源数据日志库。提供数据质量和模型性能随时间的可见性。🛡️Supports privacy-preserving data collection, ensuring safety & robustness.📈

sematic-ai /sematic

An open-source ML pipeline development platform

zetane /zetaforgedev

Open source AI platform for rapid development of advanced AI and AGI pipelines.

evidentlyai /ml_observability_course

Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

udellgroup /oboe

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

opctl /opctl

Free and open source automation platform

bodywork-ml /ml-pipeline-engineering

Best practices for engineering ML pipelines.

IBM /autosail

Library for streaming data and incremental learning algorithms.

Ark-kun /pipeline_components

Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/

banzuzi-carioni /cross-border-electricity-flow-prediction

Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners 🇳🇱⚡️

prateeksawhney97 /Disaster-Response-Pipeline

This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim of this project is to build a Natural Language Processing tool that categorize messages.

fraware /lean-python-bridge

Production-ready prototype for formal verification of ML or scientific pipelines using Lean 4and Python.

leosmerling-hopeit /fraud-poc

Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/

Elkinmt19 /airflow-master

This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀

CByBB /My-Diagrams

Open collection of all types of diagrams—Mermaid flowcharts, architecture, ML pipelines, and more.

saurabh-kudesia /real-world-ai-projects

A collection of real-world machine learning and AI projects. Explore hands-on implementations of cutting-edge models, practical solutions, and techniques to tackle real-world challenges using AI.

rochitasundar /DeepLearning.AI-Practical-Data-Science-On-AWS-Cloud-Specialization

This repository contains my code solution to DeepLearning.AIs Practical Data Science On AWS Cloud Specialization.

GoJo-Rika /Student-Performance-Prediction-System

An end-to-end MLOps project demonstrating a modular machine learning pipeline for predicting student performance, featuring a Flask web interface and deployment on AWS.

souravlouha /ML_Practice_Studio

🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects, and experiments that reflect a progressive learning journey in applied machine learning.

4F71 /4F71

该项目在 GitHub 上没有填写描述