Python package for causal discovery based on LiNGAM.

PyBNesian is a Python package that implements Bayesian networks.

Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

A curated list of awesome Machine Learning frameworks, libraries and software.

Latex code for making neural networks diagrams

Course Files for Complete Python 3 Bootcamp Course on Udemy

Resources for weekly Data Science Lunch & Learns

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Code base for the Learning PySpark book (in preparation)

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

Unix, R and python tools for genomics and data science

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

A centralized repository to benchmark ReBATE performance across a variety of parameter settings and datasets.

Tutorials and training material for the H2O Machine Learning Platform

Wrapper to a number of SNP web APIs

R package for the analysis of massive SNP arrays.

An adversarial example library for constructing attacks, building defenses, and benchmarking both

A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.

VIP cheatsheets for Stanford's CS 229 Machine Learning

TeraStructure is a new algorithm to fit Bayesian models of genetic variation in human populations on tera-sample-sized data sets (10^12 observed genotypes, i.e., 1M individuals at 1M SNPs). This pa…

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

Python implementation of Stochastic Variational Inference for LDA

Online variational Bayes for latent Dirichlet allocation (LDA)

The Julia Programming Language

GridLMM package

Jupyter magics and kernels for working with remote Spark clusters