Ready-to-run Docker images containing Jupyter applications

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Jupyter notebooks in the terminal

strip output from Jupyter and IPython notebooks

Non-Intrusive Load Monitoring Toolkit (nilmtk)

A py.test plugin to validate Jupyter notebooks

Pytest in IPython notebooks.

Real-time GCC-NMF Blind Speech Separation and Enhancement

🖼 Stitching images into 360 panoramas

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

Kandinsky x Deforum — generating short animations

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

A tool to merge / concatenate Jupyter (IPython) notebooks

Rendering IPython Notebooks using Flask

The remote Jupyter kernel/kernels administration utility

Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).

IPython Notebook server monitor inspired by htop

IPython API to visualize MD-trajectories along projected trajectories inside a Jupyter notebook

A Python package that simplifies the use of secrets in a Jupyter notebook

Transform argparse into class format for Jupyter Notebook execution