mlops-zoomcamp
Free MLOps course from DataTalks.Club
AI summary
MLOps training
Teaches practical aspects of productionizing ML services
- stars
- 11.2K
- forks
- 2.2K
- watching
- 185
Similar projects
Found by comparing what the projects do, not just their names.
Machine Learning Course
An online learning platform covering various machine learning topics from basics to advanced algorithms
ML development guide
Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications
ML framework
A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML.
MLOps tutorials
A structured learning series covering MLOps basics from data preparation to deployment and model monitoring.
MLOps toolset
A lightweight MLOps library for small teams and individuals to manage machine learning model development lifecycle
Model lifecycle manager
A platform for managing machine learning projects from inception to deployment
ML examples
A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET applications.
mlpack/mlpack5.2K
ML Library
A C++ machine learning library with bindings to other languages and bindings for multiple programming languages.
MLOps platform
An MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way
ML tutorials
Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow
Machine Learning curriculum
A structured curriculum teaching classic machine learning techniques using Python and Scikit-learn, with a focus on practical projects and hands-on exercises.
MLOps platform
A platform for managing and orchestrating the machine learning lifecycle
Machine Learning Labs
Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics
ML model transparency
Teaching software developers how to build transparent and explainable machine learning models using Python
Cloud ML framework
An MLOps framework that allows developers to define and deploy machine learning workloads on any cloud infrastructure using a Python native API.
