datmo/dlib-scikit repository overview

⁠ai-docker-files - datmo DockerHub⁠

The aim of this repository is to have one place location to find Dockerfiles for most AI frameworks and tools. The docker images are pushed to public dockerhub/datmo repository.

⁠How to Build

All the images can be built independently except keras. Please build tensorflow cpu before building keras image. Base image for keras image is tensorflow:14.04.

Test script for each has been provided.

Caffe already provides Dockerfiles for both gpu and cpu.

⁠Reference

• Nvidia docker images
  • https://hub.docker.com/r/nvidia/cuda/⁠
  • https://github.com/NVIDIA/nvidia-docker/wiki/Third-party⁠
  • https://devblogs.nvidia.com/parallelforall/nvidia-docker-gpu-server-application-deployment-made-easy/⁠
• Tensorflow
  • https://www.tensorflow.org/install/install_linux⁠
  • https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/docker⁠
• Theano
  • http://deeplearning.net/software/theano/install_ubuntu.html⁠
• Keras
  • https://keras.io/#installation⁠
• Caffe
  • https://github.com/BVLC/caffe/tree/master/docker⁠
• Pytorch
  • https://github.com/pytorch/pytorch/blob/master/Dockerfile⁠
• Spacy
  • https://spacy.io/docs/usage/⁠