This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2021-0-00907, Development of Adaptive and Lightweight Edge-Collaborative Analysis Technology for Enabling Proactively Immediate Response and Rapid Learning).
Python
48.1%
Jupyter Notebook
43.2%
Ruby
3.5%
Shell
3.0%
Dockerfile
1.3%
This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No. 2021-0-00907, Development of Adaptive and Lightweight Edge-Collaborative Analysis Technology for Enabling Proactively Immediate Response and Rapid Learning).
Python
48.1%
Jupyter Notebook
43.2%
Ruby
3.5%
Shell
3.0%
Dockerfile
1.3%