Docker image for analyses using RStudio and Python-Conda
Template repository for a Python 3-based (data) science project with GPU acceleration using the Fast.ai ecosystem.
This repository is a step-by-step guide for using NVIDIA GPU's on Windows (WSL2), Linux (Ubuntu) and MacOs GPU's with TensorFlow flawlessly.
Example Docker image with pyenv controlling virtualenv and miniconda Python virtual environments
Run conda environment in Docker
Base docker images. Check website for build status:
Docker image for analyses using RStudio and Python-Conda
Configuration files for setting up environments using conda package manager or containers like docker and singularity.
ROS development. Check website for build status:
Docker & conda environment for EOSC-Nordic JupyterHub on the NIRD toolkit
Creating docker containers for Python usage with Jupyter notebooks
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