Source code associated with "Leveraging global gene expression patterns to predict expression of unmeasured genes"

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

High dimensional geometry operations - (hypervolume R package)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

An Open Source Machine Learning Framework for Everyone

TensorFlow for R

Morgan Ernest and Ethan White's course on Ecological Dynamics and Forecasting

CV done with R, markdown, and pandoc

Easily install and load packages from the tidyverse

Gaussian processes in TensorFlow

Professional data validation for the R environment

Robust Principal Component Analysis via ADMM in Python

Spatial factor analysis: a tool for decomposing species density into a small number of latent maps

Generative moment matching networks

Neural Networks with Latent Random Variables in R

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…

Fast n-Gram Tokenization

cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2

Phylogenetics for the Environmental Sciences

A command-line murder mystery

Convert statistical analysis objects from R into tidy format

Poisson process models for multispecies presence-absence and presence-only data

A JavaScript topic visualization project using D3.js

Content for a workshop that was held at ESA 2014 on using R's vegan package for community ecology analyses.

Makes the MNIST dataset easily accessible in R

R package for deep learning

Neighborhood Components Analysis in C++