A curated collection of Docker images for ML apps
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Updated
Dec 22, 2018 - Dockerfile
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
A curated collection of Docker images for ML apps
My attempts on customizing/creating docker image using alpine base
Build Python-compatible AWS Lambda Layers with Docker. This uses Amazon Linux 2 with Python 3.7.x.
Docker container for RPI3 SaaS development, with Python 3.6.6, Numpy, Pandas and Scipy installed
Simple containerized python development environment for datascience explorations. Numpy, Pandas and Matplotlib are installed by default
Alpine Linux based based image with Python 2.7 and necessary OS level dependencies (OpenSSL, gcc, ODBC driver, etc).
A docker image with numpy, scipy, nltk and pandas pre-installed with pip
AWS Lambdaでpandasを使う時のテンプレート
Step by step how to create web services using Django and postgres as database and docker for microservices and containerization
AWS Lambda NumPy layer for Python 3.7 (numpy-1.17.2)
Using python3.6 alpine base image adds java,pandas, numpy,pyspark and spark as rundeps. This image can be used as container image when you run spark-submit on k8.
Alpine Linux based image with Python 3.7 and necessary OS level dependencies (OpenSSL, gcc, ODBC driver, etc).
A batteries included docker build including Streamlit + Visualization Tools + Pandas/Numpy + More
Created by Travis Oliphant
Latest release 14 days ago