Michael Green's Projects
Alvíss: The "All-Wise" dwarf from Norse mythology
Automatically knit R Markdown documents, build them with Jekyll, and serve the website with servr locally
A monitor of resources
One day course on causal inference, MPI-EVA 9 September 2021
Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.
Color manipulation utilities for Julia
Compliance automation framework, focused on SOC2
A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
Crypsis simulating an AI predator in a predator prey environment
Marketing Mix Modeling Data Generator
This is the beginning of my new equity trading software
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.
A Julia package for probability distributions and associated functions.
My build of the dmenu program
Docker helper files for running eramba software
This is a repository for a Docker container for developing books using the R Bookdown package!
My Github Profile
Build a Jekyll blog in minutes, without touching the command line.
My fork of the Suckless DWM
Flexible Bayesian inference using TensorFlow
A hobby project developing Energy Based Models in Julia
Evidential Deep Learning Layers for Flux
A demo app using Python's falcon web framework using sqlalchemy for persistence and alembic for migrations
A solid foundation for your flask app
Relax! Flux is the ML library that doesn't make you tensor
A test package for Julia
A set of examples of doing Bayesian modeling on time series data