#Ml-ops
Showing 12 of 12 repositories tagged #ml-ops, ranked by stars
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
A curated list of articles that cover the software engineering best practices for building machine learning applications.
An open-source ML pipeline development platform
本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.
A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.
A Collection of GitHub Actions That Facilitate MLOps
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
GitOps-first, container-native workflow orchestrator in Go (Airflow-UI compatible).
Efficient streaming data ingestion, transformation & activation
A complete end-to-end fraud detection system for financial transactions, featuring data pipelines, cost-sensitive ML modeling, explainability with SHAP, threshold optimization, batch scoring, and an interactive Streamlit dashboard. Designed to simulate real-world fintech fraud-risk workflows.