AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charita…

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker Hub:

Anaconda3, Jupyter Notebook, OpenCV3, TensorFlow and Keras2 for Deep Learning🐳

Install keras and tensorflow based on cuda 9.0 using docker (python3) and ubuntu1604. Tutorial for installing CUDA driver

Multi-docker container data science / engineering playground (w/ Kafka, Airflow, MLFlow, Tensorflow-Keras / SKLearn) for simulating a microservices-oriented architecture

Tensorflow and keras with python3

Codes for my blog entry "Deep Learning on Jetson Nano: Streamlining Docker Builds"

My attempts on customizing/creating docker image using alpine base

This docker builds an image that includes TensorFlow/ Keras based on GPU, Jupyter notebook, and root access to the shell via SSH while Jupyter is running.

Docker images of containing everything and more needed for Deep Learning (Python and R interpretors accessible from Jupyter Notebook)

(P)ython, (S)wift,(K)eras and (J)upiter Docker container for machine and deep learning with CPU and GPU support.

Docker files used at Numeract

A repository for a docker image containing Keras and Jupyter notebook.

Dockerfile for an image based on conda/miniconda3. The base image is Ubuntu instead of Debian.

Adds some Python libraries that I use in addition to the `jupyter/tensorflow-notebook` libraries.

A Jupyterlab with pandas, keras, tensorflow, numpy, sklearn, matplotlib, scilab, dash, sqlalchemy, elasticsearch and others. Additional kernels Bash, Julia, Octave, PHP and Scilab, git and cron daemon with relative web-ui

Docker image: Deep learning environment with *Keras* and *Jupyter* using CPU or GPU

ML pipeline

create a keras running env