robert-giaquinto Goto Github PK

advancing-probabilistic-models-for-approximate-and-exact-inference

A copy of my dissertation and latex templates that I use

air_pollution

baum-welch

Parameter inference in Hidden Markov Models.

cs5512_project

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

cs5561_project

Class project for CS 5561: Object Tracking and Behavior Classification

cuda_autoencoder

Implementation of a denoising autoencoder on a GPU

dapper

Fast implementation of DAP topic model using Conjugate Computation Variational Inference

dotfiles

Configuration files and default files used across machines

dynamic-author-persona-topic-model

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

gradient-boosted-normalizing-flows

We got a stew going!

iaf

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

mcts_2048

Monte Carlo tree search plays 2048 in the terminal

nlpaug

Data augmentation for NLP

personal_website

Personal website on UMN grad students page

random_naive_bayes

Python implementation of a random ensemble of naive bayes classifiers

semi_supervised_learning

Collection of Semi-Supervised Learning Algorithms

sentence_boundary_detection

Course project for Introduction to Intelligent Robotic Systems

survae_flows

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

text-analysis-on-healthcare-journals

variational-autoencoder

Variational Autoencoder / Deep Latent Gaussian Model demo & tutorial