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Data Science Docker Stack

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.

Features Chart

GitHub	Python2	Python3	Tensorflow	JupyterLab	OpenCV

rubychilds

Classic Networks

LeNet-5: LeCun et al, "Gradient-Based Learning Applied to Document Recognition": http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf

AlexNet: Krizhevsky et al, "ImageNet Classification with Deep Convolutional Neural Networks": https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf

VGG-16: Simonyan et al, "Very Deep Convolutional Networks for Large-Scale Image Recognition": https://arxiv.org/pdf/1409.1556.pdf

Resnets