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@Pseudo-Lab @boostcampaitech7 @Team-GORANI

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namgyu-youn/README.md

Undergraduate student interested in EfficientML (i.e., memory-efficient ML systems):

  • Distributed training : Distributed Data Parallel (DDP), Tensor Parallel (TP)
  • TinyML : Pruning, Neural Architecture Searching (NAS)
  • Optimization algorithms : Preconditioned Stochastic Tensor (Shampoo), ZeRO

For deeper understanding, I am currently focusing on the following list:

  • OSS Contribution : shampoo, maintained by Meta Research.
  • Cohort of Pseudo-Lab : Learning TinyML techniques and reviewing papers with prof. Song Han's lecture, MIT-6.5940
  • Paper Reading Group hosted by SqueezeBits: A collaborative study focused on Efficient Generative AI.

p.s. Since I love exploring GitHub OSS, many useful tools are archived in starred list. Please check DevOps and Linux!

Gradio FastAPI n8n Airflow WandB Supabase Ruff GitHub Actions

GitHub Metrics

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