There are 366 repositories under mlops topic.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A high-throughput and memory-efficient inference and serving engine for LLMs
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.
A curated list of references for MLOps
An orchestration platform for the development, production, and observation of data assets.
Free MLOps course from DataTalks.Club
Machine Learning Engineering Open Book
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.
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
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.
Superduper: Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
:sunglasses: A curated list of awesome MLOps tools