guillaume-chevalier / How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-NotebooksLinks
Growing the code out of your notebooks - the right way.
☆528Updated 2 years ago
Alternatives and similar repositories for How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
Users that are interested in How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks are comparing it to the libraries listed below
Sorting:
- A workshop for scientific computing in Python. ( December 2017 )☆377Updated 7 years ago
- ☆759Updated 2 years ago
- A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.☆416Updated 3 years ago
- A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites☆437Updated 2 years ago
- Learning numerical computing with notebooks for all ages.☆770Updated last year
- Feature engineering and machine learning: together at last!☆24Updated 4 years ago
- Python library for building highly effective data science workflows☆949Updated last year
- Machine Learning Environment - alpha version☆339Updated 6 years ago
- Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)☆329Updated 5 years ago
- ☆165Updated 3 years ago
- A context-preserving word cloud generator☆443Updated 2 years ago
- another book on data science☆609Updated 5 years ago
- A notepad for software and machine learning☆231Updated 6 years ago
- A tool that translates augmented markdown into HTML or latex☆467Updated 3 years ago
- Wren enables users to discover and explore daily news stories 🗞️📻 📺☆258Updated 7 years ago
- ☆153Updated 2 years ago
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆521Updated 4 years ago
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,044Updated 7 years ago
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support☆261Updated 7 years ago
- Machine learned bracketology☆192Updated 2 years ago
- Interactive programming experience for data scientists: Visual Studio Code extension☆354Updated 2 years ago
- A high-level, rapid development framework for machine learning projects☆344Updated last year
- An implementation of JupyterHub within the Amazon cloud, with automatic scaling up and down☆129Updated last year
- Python exercises to practice skills☆537Updated 6 years ago
- Automated Outlier Detection and Treatment Tool☆102Updated 2 years ago
- Jari's collection of interesting papers.☆493Updated 2 weeks ago
- A fork of the cookiecutter-data-science leveraging Docker for local development.☆131Updated 5 years ago
- massively parallel experimentation with Jupyter and AWS Lambda 🐑🌩📒☆162Updated 5 years ago
- View Algorithms in the Browser! - Built with ReactJs☆183Updated 2 years ago