There are 380 repositories under mlops topic.
A high-throughput and memory-efficient inference and serving engine for LLMs
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Label Studio is a multi-type data labeling and annotation tool with standardized output format
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Workflow Engine for Kubernetes
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Machine Learning Engineering Open Book
A curated list of references for MLOps
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
An orchestration platform for the development, production, and observation of data assets.
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.
Always know what to expect from your data.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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.
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: End-to-end framework for building custom AI applications and agents.
An awesome & curated list of best LLMOps tools for developers
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
🐢 Open-Source Evaluation & Testing for AI & LLM systems