Deploying an analytics platform on kubernetes cluster
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Updated
Mar 31, 2021 - Dockerfile
Deploying an analytics platform on kubernetes cluster
A modern approach to data science and machine learning using Python & Docker.
In this repo the jupyterhub deployment with kubernetes is done!
Jupyter Lab notebook in a container w/ TensorFlow.
Jupyterlab with Spark 2.4.8 integrated with help of Livy and Sparkmagic
A docker compose project for delivering a Jupyter Hub installation
This repository contains a Binder example that showcases pixi-kernel
A Docker container for data science with Python and Clojure
🍦 Template/ohmyzsh plugin for JupyterLab work using community Docker images
Sideral Technologies JupyterLab Devcontainer for GitHub Codespaces
The docker image that can run pytorch and jupyterlab
This repository designed to run Jupyter Notebook, JupyterHub and JupyterLab inside a Docker container. That's come with Pandas, Numpy, Bokeh, Plotly, Dash and other popular libraries. JupyterHub has admin interface, JupyterLab has Jupyter Notebook, console, terminal, text editor and Jitsi video-meeting.
Contains Dockerfile for building Jupyter GIS image.
Docker container with tensorflow and jupyterlab
Minimal Dockerfile to run JupyterLab on an Raspberry Pi 4 (arm64)
Docker images for the machine learning environment. This project cover Python and ML packages, GPU support, C++.
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