Environment Preset
Check the environment preset information used in your project.
Last updated
Check the environment preset information used in your project.
Last updated
A CPU-only container with Python 3.8, 2.7, and R kernels. In addition, we also provide environments for machine learning frameworks such as Python 3.8 version Pytorch and tensorflow2.
It provides a stable version of R, R3.6, and provides a variety of visualization and data processing packages, including ggplot2, and dplyr.
It provides the latest version of R, R 4.2, and offers a variety of visualization and data processing packages, including ggplot2, and dplyr.
A CPU-only environment preset with a Python 3.8 kernel. Collaborate with two or more users in real time, including real-time collaboration (RTC) capabilities in Jupyterlab. CAUTION: This is an experimental feature that may cause data changes, so be sure to back up your data when using this feature.
A CPU-only container containing MATLAB, a programming and numerical analysis platform used for data analysis, algorithm development, and model generation. You can perform simple tasks using the CPU.
A GPU-only container with Python 3.8, 2.7, and R kernels. In addition, we also provide environments for machine learning frameworks such as Python 3.8 version Pytorch and tensorflow2.
An environment preset that includes MATLAB, a programming and numerical analysis platform used for data analysis, algorithm development, and model generation. Toolboxes for GPU are used and deep learning is installed for professional work.
