Machine Learning System Resources

PhD student at University of Texas at Austin 🤘. Doing systems for ML.

This is my personal list of resources related to machine learning systems. Feel free to drop me an email if you think there's something worth mentioning. I will try to update this page frequently to include the most recent stuffs in mlsys. Resources Facebook's external large-scale work NGC Container Doc : great for development, without having to manually install CUDA, pytorch, and other dependencies. Awesome-System-for-Machine-Learning : A curated list of research in machine learning systems (MLSys). Paper notes are also provided. Mastering LLM Techniques: Inference Optimization : summary of t

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• Asma Lamgh
• Simon Guo
• Ishaan Panigrahi
• Tanmay Agrawal

related reading

• GitHub - junuxyz/mlsys-notes: Learning notes for understanding modern Machine Learning System.github.com
• Modern GPU Programming For MLSys — Modern GPU Programming For MLSysmlc.ai
• LLM (ML) Job Interviews - Resources • Mimansa Jaiswalmimansajaiswal.github.io
• GitHub - jacobhilton/deep_learning_curriculum: Language model alignment-focused deep learning curriculumgithub.com
• Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
• LLM Resourcesforrestbicker.com
• Getting Caught Up to Modern LLM Research | Samarth Goeldev.samarthgoel.com
• GitHub - adam-maj/deep-learning: A deep-dive on the entire history of deep-learninggithub.com
• GitHub - wafer-ai/gpu-perf-engineering-resources: A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.github.com
• GitHub - shantanu-ai/deep-learning-resources: Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.github.com
• An Alchemist’s Notes on Deep Learning — An Alchemist's Notes on Deep Learningnotes.kvfrans.com
• A friendly introduction to machine learning compilers and optimizershuyenchip.com