This repository curates a list of prominent bloggers and researchers in the Machine Learning Systems (MLSys) field, categorized by their focus on Systems or Algorithms. It serves as a valuable resource for individuals seeking to follow influential voices and discover key projects within the MLSys community.

How It Works

The project acts as a curated directory, compiling links and brief descriptions of individuals contributing to the MLSys landscape. It aims to highlight experts in both system design and algorithmic innovation, providing a starting point for deeper exploration of their work and contributions.

Quick Start & Requirements

• Access the curated list via the GitHub Pages website: https://mlsys-learner-resources.github.io/Awesome-MLSys-Blogger/

Highlighted Details

• Extensive coverage of both academic and industry experts.
• Categorization into Systems and Algorithms focus areas.
• Includes authors of significant open-source projects like Colossal-AI, vLLM, SGLang, FlashAttention, and TVM.
• Features researchers known for their contributions to areas like model quantization, distributed training, and efficient inference.

Maintenance & Community

The project encourages community contributions through issues and pull requests for additions or corrections. It also respects privacy, offering to remove individuals upon request.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT or CC0) given its nature as a curated list, but specific project licenses of linked resources will vary.

Limitations & Caveats

The creator notes a personal research focus on algorithms, potentially leading to a less comprehensive representation of purely systems-focused individuals. The list is dynamic and relies on community input for completeness.