robert-giaquinto

gradient-boosted-normalizing-flows

We got a stew going!

dynamic-author-persona-topic-model

Base implemenation of the DAP model using a variational EM algorithm.

text-analysis-on-healthcare-journals

random_naive_bayes

Python implementation of a random ensemble of naive bayes classifiers

cs5512_project

Course project for Artificial Intelligence II. Classifying actions and behavior from video data.

mcts_2048

Monte Carlo tree search plays 2048 in the terminal

semi_supervised_learning

Collection of Semi-Supervised Learning Algorithms

survae_flows

Extending the SurVAE Flows library to super-resolution, compressive, gradient boosted, and conditional flows.

air_pollution

cs5561_project

Class project for CS 5561: Object Tracking and Behavior Classification

dapper

Fast implementation of DAP topic model using Conjugate Computation Variational Inference

sentence_boundary_detection

Course project for Introduction to Intelligent Robotic Systems

Advancing-Probabilistic-Models-for-Approximate-and-Exact-Inference

A copy of my dissertation and latex templates that I use

baum-welch

Parameter inference in Hidden Markov Models.

cuda_autoencoder

Implementation of a denoising autoencoder on a GPU

dotfiles

Configuration files and default files used across machines

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

nlpaug

Data augmentation for NLP

personal_website

Personal website on UMN grad students page

variational-autoencoder

Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial