This connector is used to combine the work of CC (www.curious-containers.cc) and DVC (Open-source Version Control System for Machine Learning Projects).
Project description
- TODO: SOME DESCRIPTION
- TODO: GIF of how to use DVC-CC basic commands
Installation of DVC-CC
DVC-CC is written in python so you can easily install DVC-CC by using pip. We recommend that you install DVC-CC in an anaconda environment. You can create, and activate an environment with the following lines:
conda create --name dvc_cc python pip
conda activate dvc_cc
Installation with pip
The following script will install the client on your computer:
pip install --upgrade dvc-cc
Installation from source
If you want to install the latest version from source you can install it with poetry.
git clone https://github.com/deep-projects/dvc-cc.git
cd dvc-cc/dvc-cc
poetry build
pip install dvc_cc-?????.whl # replace ????? with the current version that you build in the previous step.
Get started
Install DVC-CC and take a look at this tutorial.
Tutorials
Structure of this repository
Acknowledgements
The DVC-CC software is developed at CBMI (HTW Berlin - University of Applied Sciences). The work is supported by the German Federal Ministry of Education and Research (project deep.TEACHING, grant number 01IS17056 and project deep.HEALTH, grant number 13FH770IX6).
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