Patterns for Research in Machine Learning | Ali Eslami
18 Jul 2012 Here I list a handful of code patterns that I wish I was more aware of when I started my PhD. Each on its own may seem pointless, but collectively they go a long way towards making the typical research workflow more efficient. And an efficient workflow makes it just that little bit easier to ask the research questions that matter. My guess is that these patterns will not only be useful
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GitHub - mafda/ml_with_fastapi_and_streamlit: Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
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