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 list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

Fire up your models with the flame 🔥

Open-source data framework for biology. Context and memory for datasets and models at scale. Query, trace & validate with a lineage-native lakehouse that supports bio-formats, registries & ontologies. 🍊YC S22

A Collection of GitHub Actions That Facilitate MLOps

Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .

A reading list for MLSecOps!

Template for getting started with automated ML Ops on Azure Machine Learning

Get your MLOps (Level 1) platform started and going fast.

This repository contains everything you need to become proficient in MLOps

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

Open-source ML-powered profanity filter with TensorFlow.js toxicity detection, leetspeak & Unicode obfuscation resistance. 21M+ ops/sec, 23 languages, React hooks, LRU caching. npm & PyPI.

ClearML - Web Application - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

ML DevOps using GitHub Actions and Azure Machine Learning

MLOps pipeline for NVIDIA Merlin on GKE

Reference architecture for machine learning operations

This repository serves as a comprehensive resource for integrating machine learning with security operations, offering innovative cybersecurity strategies. It features a mix of practical code examples, insightful research, and valuable resources tailored for advancing AI/ML cyber security practices.

A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.

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A pipeline to CI/CD of a machine learning model on Google Cloud Run

Find the samples, in the test data, on which your (generative) model makes mistakes.

Efficient streaming data ingestion, transformation & activation