A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Updated
Oct 12, 2024
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Frouros: an open-source Python library for drift detection in machine learning systems.
Carefully curated list of awesome data science resources.
Chassis turns machine learning models into portable container images that can run just about anywhere.
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Machine Learning Engineering for Production (MLOps) Coursera Specialization
A modern, enterprise-ready business intelligence web application
Python library for Modzy Machine Learning Operations (MLOps) Platform
A curated list of resources to deep dive into the intersection of applied machine learning and threat detection.
The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
Connecting MLJ and MLFlow
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈
Next generation of machine learning artifact management and observability
The Golang library for Modzy Machine Learning Operations (MLOps) Platform
Curated set of MLOps tools to work with the Neu.ro MLOps platform
A framework for conducting MLOps.
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