MLSys-Learner-Resources/Awesome-MLSys-Blogger

The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)

26
/ 100
Experimental

This list compiles recommended experts and resources in the field of Machine Learning Systems (MLSys), focusing on both the algorithmic and system-level aspects. It brings together notable professors, industry specialists, and accomplished peers who frequently share their insights, research, and technical notes. Machine learning engineers and researchers can use this resource to discover influential voices and stay updated on the latest developments in optimizing machine learning models and infrastructure.

327 stars. No commits in the last 6 months.

Use this if you are a machine learning engineer, researcher, or student looking to follow key opinion leaders and stay informed about cutting-edge techniques and developments in ML system design and optimization.

Not ideal if you are a non-technical stakeholder seeking high-level business insights into AI, or if you are looking for introductory guides to machine learning fundamentals.

Machine Learning Engineering ML Research Deep Learning Systems Algorithm Optimization AI Infrastructure
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 8 / 25

How are scores calculated?

Stars

327

Forks

9

Language

HTML

License

Last pushed

Jan 05, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/MLSys-Learner-Resources/Awesome-MLSys-Blogger"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.