This repository will contain files and other info associated with our Scipy 2015 scikit-learn tutorial. Parts 1 to 5 make up the morning session, while parts 6 to 9 will be presented in the afternoon.

Abstract: Pore network modeling is a widely used technique for simulating multiphase transport in porous materials, but there are very few software options available. This work outlines the OpenPNM ...

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This is the TensorFlow implementation of the GNE as described in our paper. The code was forked initially from here. WE provide PyTorch implementation for GNE that encodes network struture only in ...

Classical conditioning is a way to learn using unconscious associations. Pavlov discovered classical conditioning when dogs started to salivate at the sound of a bell before they got food. The ...