This set of Docker images were developed to provide a fast and reproducible way to play, develop and learn with Tensorflow under Python environment, from minimal installation to a complete one including JupyterLab computational environment and OpenCV (Open Source Computer Vision Library). Use or build images for amd64 or arm32v7 architectures without hassle, the whole set is Multi-Arch designed. Get latest versions and switch between them while keep clean your system.
GitHub | Python2 | Python3 | Tensorflow | JupyterLab | OpenCV |
---|---|---|---|---|---|
tensorflow-diy | X | X | X | ||
tf-jupyterlab | X | X | X | ||
tf-jupyterlab-py2 | X | X | X | ||
tf-opencv | X | X | X | ||
tf-juplab-ocv | X | X | X | X |
Docker Hub | Docker Pulls | Docker Stars | Docker Build | Size/Layers |
---|---|---|---|---|
tensorflow-diy | ||||
tf-jupyterlab | ||||
tf-jupyterlab-py2 | ||||
tf-opencv | ||||
tf-juplab-ocv |
Can I ask you how you did the diagram?