The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
open-source MLOps platform
一键修复与安装脚本(各种linux系统修复与服务器环境安装脚本) One-click repair and installation scripts (various linux system repair and server environment installation scripts)
Tutorial materials for deploying JupyterHub
A GitHub action to build data science environment images with repo2docker and push them to registries.
强烈推荐🔥🔥🔥 🦜麻雀虽小五脏俱全🦜 🏄🏻♂️ 享受环境一切顺利的快乐🏄🏻♂️ 🌍所有环境统一规范管理🌍📦超强环境打包管理器📦🔨 一键快速启动多个服务环境的容器化编排工具 🔨 / A Docker tool for one-click startup of multiple services.
Deploy a distributed AI stack to a multi-host or single-host Kubernetes cluster on CentOS 7 and also works on AWS - and comes with: cert-manager + redis-cluster + rook-ceph for persistent storage + minio s3 object store + splunk + optional external dns server + affinity examples - validated with K8 version 1.13.4 🔨 🔧 ☁️
A standalone OS X app for Jupyter. Runs Jupyter Lab/Notebook in its own separate browser. Allows for the launching of Jupyter Lab/Notebook from the dock just like any other app, and it even comes with its own pretty Jupyter icon. Built using bash and Chrome
Port Forwarding Utility
Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
Spark on Kubernetes infrastructure Docker images repo
Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀
Light-weight Anaconda environment for ARM64 devices.
🪐 1-click Kubeflow using ArgoCD
Dockerize Data Science
Jupyter Notebooks and Virtual Environments
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release about 1 month ago