machine-learning-systems-design
by chiphuyen
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
AI summary
Machine learning systems design guide
A resource guide covering the four main steps of designing a machine learning system: project setup, data pipeline, modeling, and serving.
- stars
- 9.2K
- forks
- 1.4K
- watching
- 302
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
ML development guide
Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications
Machine Learning Study Plan
A structured study plan to help software developers learn machine learning and become a machine learning engineer
Machine Learning Exam Prep
A comprehensive resource and study plan for preparing software developers to pass machine learning interview exams.
Production system design
A guide to building production-ready deep learning systems for real-world applications
ML examples
A collection of samples and examples demonstrating the usage of ML.NET for machine learning tasks in .NET 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.
Machine Learning Patterns Library
A collection of code and patterns for building scalable machine learning systems using Kubernetes, TensorFlow, Kubeflow, and Argo Workflows.
System design guide
A comprehensive guide to designing and building scalable systems for software developers
ML Systems Guide
A curated collection of research papers, articles, and resources on machine learning systems, including design principles, infrastructure, and best practices.
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.
Machine Learning Book Implementation
An implementation of Manning Publications' How Machine Learning Works book in Python using Jupyter Notebook
Book implementation
The codebase provides MATLAB implementations of machine learning concepts from S. Theodoridis' book
Model Interpreter
A comprehensive resource for explaining the decisions and behavior of machine learning models.
ML explanations
An explanation of key concepts and advancements in the field of Machine Learning
ML workflow automator
Automates machine learning workflows and generates reports on every pull request.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions machine-learning-systems-design.
