Supercharging your Jupyter and Machine Learning Workflow with PrimeHub

Chia-liang Kao

Chia-liang Kao

icon-location R1
icon-language 中文演講/英文投影片
icon-datetime 第二天 • 10:35-11:20
icon-level 中階
icon-category 機器學習


    Jupyter has become a critical component of the machine learning life cycle. However scaled enterprise deployments and making the Data Science Experience frictionless remain challenging. We address a few common issues with PrimeHub, an open-source enterprise offering based on JupyterHub, with the capability to work with popular ML tooling like mlflow, labelstudio, and streamlit. This talk also investigates the MLOps trends adjacent to the Jupyter ecosystem.



    Chia-liang Kao

    clkao (Chia-liang Kao) has been an open source software developer since 2000. He believes that good collaboration model and tools drive innovation. In 2013, he created SVK, a distributed version control system that helps developers collaborate. He co-founded the community in 2012, advocating information transparency and digital-activism through open source model. was awarded as "Digital Communities: Award of Distinction" by Prix Ars Electronica 2018. He started InfuseAI in 2018 to enable data scientists to thrive, and to help wider adoption of AI across industries.