Learn how to design, develop, deploy and iterate on production-grade ML applications.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

💿 Free software that works great, and also happens to be open-source Python.

A collection of various deep learning architectures, models, and tips

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

The "Python Machine Learning (2nd edition)" book code repository and info resource

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

GNU Radio decoder for Amateur satellites

Building a Bayesian deep learning classifier

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe D…

PYNQ, Neural network Language model, Overlay

Repository to accompany talk at edmontonpy