Really nice update.— Soumith Chintala (@soumithchintala) May 7, 2020
With a semi-automated ML pipeline that extracts results and tables from papers, they're able to scale much faster.
They released the code and paper to extract results from papers, at: https://t.co/l7caAau4RK and https://t.co/XKHCTwjadK https://t.co/pnvPKmwCqY
BlazingSQL Notebooks = high-performance JupyterLab environment, running on #GPU instances preinstalled with the https://t.co/Lp3Mp63ivD ecosystem of #DataScience packages: https://t.co/YUWqmdAoaW by @blazingsql— Kirk Borne (@KirkDBorne) May 4, 2020
——————#BigData #AI #MachineLearning #Coding #Python #DataScientists pic.twitter.com/fo3osejah5