Yennefer Labs
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Environment Preset

Check the environment preset information used in your project.

CPU Environment Preset

Yennefer는 프로젝트에 필요한 컨테이너를 제공합니다.

1. Jupyter

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.

2. RStudio R 3.6

It provides a stable version of R, R3.6, and provides a variety of visualization and data processing packages, including ggplot2, and dplyr.

3. RStudio R 4.2

It provides the latest version of R, R 4.2, and offers a variety of visualization and data processing packages, including ggplot2, and dplyr.

4. [Experimental] Jupyter RTC

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.

5. MATLAB_CPU

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.

GPU 컨테이너

1. Jupyter

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.

2. MATLAB_GPU

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.