kajero - Interactive JavaScript notebooks with clever graphing

•    Javascript

Interactive JavaScript notebooks with clever graphing.You can view a sample notebook here.

kubeflow - Machine Learning Toolkit for Kubernetes

•    Python

The Kubeflow project is dedicated to making machine learning on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to train, test, and deploy best-of-breed open-source predictive models to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run KubeFlow.This document details the steps needed to run the Kubeflow project in any environment in which Kubernetes runs.

gorilla-repl - A rich REPL for Clojure in the notebook style.

•    Javascript

Gorilla is a rich REPL for Clojure in the notebook style. If you're interested you should take a look at its website.Contributions, in the form of comments, criticism, bug reports, or code are all very welcome :-) If you've got an idea for a big change drop me an email so we can coordinate work.

spark-py-notebooks - Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

•    Jupyter

This is a collection of IPython notebook/Jupyter notebooks intended to train the reader on different Apache Spark concepts, from basic to advanced, by using the Python language. If Python is not your language, and it is R, you may want to have a look at our R on Apache Spark (SparkR) notebooks instead. Additionally, if your are interested in being introduced to some basic Data Science Engineering, you might find these series of tutorials interesting. There we explain different concepts and applications using Python and R.

numpy-100 - 100 numpy exercises (100% complete)

•    Jupyter

This is a collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. I've also created some problems myself to reach the 100 limit. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercises for those who teach. This work is licensed under the MIT license.

fsnotes - Notes manager for macOS/iOS

•    Swift

File system notes is modern notational velocity (nvALT) on steroids. Our application respect open formats: plain/text, markdown, rtf, and stores data in file system. You can view, edit, copy data in favourite external editor and see live result in FSNotes.

beakerx - Beaker Extensions for Jupyter Notebook

•    Java

BeakerX is a collection of JVM kernels and interactive widgets for plotting, tables, autotranslation, and other extensions to Jupyter Notebook. BeakerX is in beta and under active development. The documentation consists of tutorial notebooks on GitHub. You can try it in the cloud for free with Binder. And here is the cheatsheet.

docker-stacks - Ready-to-run Docker images containing Jupyter applications

•    Dockerfile

Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools. The two examples below may help you get started if you have Docker installed know which Docker image you want to use, and want to launch a single Jupyter Notebook server in a container.

nteract - 📘 The interactive computing suite for you! ✨

•    Javascript

nteract is first and foremost a dynamic tool to give you flexibility when writing code, exploring data, and authoring text to share insights about the data. Edit code, write prose, and visualize.

geonotebook - A Jupyter notebook extension for geospatial visualization and analysis

•    Python

GeoNotebook is an application that provides client/server environment with interactive visualization and analysis capabilities using Jupyter, GeoJS and other open source tools. Jointly developed by Kitware and NASA Ames. Documentation for GeoNotebook can be found at http://geonotebook.readthedocs.io.

Yosoro - 🍨Beautiful Cloud Drive Markdown NoteBook Desktop App. 🏖

•    Javascript

The latest version of Yosoro for macOS, linux and Windows is available here. macOS 10.9+, Windows 7+ & Linux are supported.

IPython - Interactive Computing

•    Python

IPython provides a rich toolkit to help you make the most of using Python interactively. It provides a Jupyter kernel to work with Python code in Jupyter notebooks and other interactive frontends.

taskbook - 📓 Tasks, boards & notes for the command-line habitat

•    Javascript

By utilizing a simple and minimal usage syntax, that requires a flat learning curve, taskbook enables you to effectively manage your tasks and notes across multiple boards from within your terminal. All data are written atomically to the storage in order to prevent corruptions, and are never shared with anyone or anything. Deleted items are automatically archived and can be inspected or restored at any moment. Read this document in: 简体中文, Русский.

tensorflow-tutorial - TensorFlow and Deep Learning Tutorials

Some examples require MNIST dataset for training and testing. Don't worry, this dataset will automatically be downloaded when running examples (with input_data.py). MNIST is a database of handwritten digits, for a quick description of that dataset, you can check this notebook.

taskbook - Tasks, boards & notes for the command-line habitat

•    Javascript

By utilizing a simple and minimal usage syntax, that requires a flat learning curve, taskbook enables you to effectively manage your tasks and notes across multiple boards from within your terminal. All data are written atomically to the storage in order to prevent corruptions, and are never shared with anyone or anything. Deleted items are automatically archived and can be inspected or restored at any moment. Read this document in: 简体中文, Русский, Français.

nodebook - Nodebook - Multi-Lang Web REPL + CLI Code runner

•    TypeScript

Nodebook is an in-browser REPL supporting many programming languages. Code's on the left, Console's on the right. Click "Run" or press Ctrl+Enter or Cmd+Enter to run your code. Code is automatically persisted on the file system. You can also use Nodebook directly on the command line, running your notebooks upon change.

kubeflow - Machine Learning Toolkit for Kubernetes

•    Go

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Kubeflow is a platform for data scientists who want to build and experiment with ML pipelines. Kubeflow is also for ML engineers and operational teams who want to deploy ML systems to various environments for development, testing, and production-level serving.

paperwork - Paperwork - OpenSource note-taking & archiving alternative to Evernote, Microsoft OneNote & Google Keep

•    Dockerfile

Paperwork is an open-source, self-hosted alternative to services like Evernote ®, Microsoft OneNote ® or Google Keep ®. This branch contains the second iteration of Paperwork, which is a complete rewrite. Not only is it based on another framework - it is based on a completely different technology stack. It is in its very early development phase and not yet usable.

spark-notebook - Interactive and Reactive Data Science using Scala and Spark.

•    Javascript

The Spark Notebook is the open source notebook aimed at enterprise environments, providing Data Scientists and Data Engineers with an interactive web-based editor that can combine Scala code, SQL queries, Markup and JavaScript in a collaborative manner to explore, analyse and learn from massive data sets. The Spark Notebook allows performing reproducible analysis with Scala, Apache Spark and the Big Data ecosystem.

computer-vision-in-action - 《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中

•    Jupyter

《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页