JINO-ROHIT/ml-systems-notes

how to learn PyTorch and OneFlow

My learning notes for ML SYS.

Curated collection of AI inference engineering resources — LLM serving, GPU kernels, quantization, distributed inference, and production deployment. Compiled from the AER Labs community.

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.

100 days of LLM inference engineering — daily posts, experiments, and visualizations

This is the notes of the way of machine learning study. You may find something useful in it.

Notes and exploration code for learning about AI/ML

Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.