guillaume-chevalier / How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
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
- Feature engineering and machine learning: together at last!☆24Updated 4 years ago
- A workshop for scientific computing in Python. ( December 2017 )☆378Updated 6 years ago
- Python library for building highly effective data science workflows☆948Updated last year
- Interactive programming experience for data scientists: Visual Studio Code extension☆356Updated 2 years ago
- ☆761Updated 2 years ago
- A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.☆416Updated 2 years ago
- Lazydata: Scalable data dependencies for Python projects☆623Updated 6 years ago
- Machine Learning Environment - alpha version☆338Updated 6 years ago
- Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)☆331Updated 4 years ago
- ☆217Updated 5 years ago
- A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites☆434Updated 2 years ago
- Directory of Jupyter notebooks exploring various topics☆316Updated 7 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆420Updated 6 years ago
- A high-level, rapid development framework for machine learning projects☆345Updated last year
- Organized & Useful Resources about Deep Learning with TensorFlow☆21Updated 4 years ago
- ☆164Updated 3 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆356Updated last month
- LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.☆533Updated 6 years ago
- A tool that translates augmented markdown into HTML or latex☆461Updated 2 years ago
- ☆146Updated 5 years ago
- ☆152Updated 2 years ago
- An unofficial Microsoft Machine Learning Server Docker image.☆143Updated 7 years ago
- A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support☆262Updated 7 years ago
- A notepad for software and machine learning☆232Updated 5 years ago
- Learning numerical computing with notebooks for all ages.☆767Updated last year
- A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.☆1,045Updated 6 years ago
- Studio: Simplify and expedite model building process☆381Updated 7 months ago
- A web app to create and browse text visualizations for automated customer listening.☆148Updated last year
- A graph-based functional API for building complex scikit-learn pipelines.☆591Updated 2 years ago
- Supporting notebooks and data from hypertools paper☆147Updated 6 years ago