Popular GitHub Repositories for Mlops

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Machine Learning Engineering Open Book

A curated list of references for MLOps

Free MLOps course from DataTalks.Club

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Build, Manage and Deploy AI/ML Systems

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

The Open Source Feature Store for AI/ML

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.

An awesome & curated list of best LLMOps tools for developers

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ???

ZenML ?: The bridge between ML and Ops. https://zenml.io.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

? Open-Source Evaluation & Testing for AI & LLM systems