Google Research

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

All course materials for the Zero to Mastery Machine Learning and Data Science course.

A python library for decision tree visualization and model interpretation.

Model API for GALACTICA

Python libraries for Google Colaboratory

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Deep Learning with TensorFlow 2 and Keras, published by Packt

An R Framework for Climate Data Access and Post-processing

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

Repo for the Jupyter notebooks for a programming course at the Justus-Liebig-University Giessen

python library for bias correction

Learning Python for spatio-temporal analysis

This repo contains the supplementary scripts and datasets for Li G, et al, 2019 (https://arxiv.org/abs/1912.08141).