tmgrgg Goto Github PK

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

book-cover-to-genre-classification

compiler

corsair-mmo

country-fertilitity-rate-regression

Building regression models for fertility rates in 90+ countries, and analysing results for statistically significant indicators.

fourier-series

Reexplaining Fourier Series to myself through code!

glassdoor-job-geovisualisation

Scraping and visualising job postings geographically (in the United States).

handwriting-cnn

My final year undergraduate project - experimenting with the use of CNNs and auxiliary algorithms for offline handwriting recognition.

is-this-joke-funny-reddit

Trying to use r/Jokes to classify whether a joke will be well-received (funny).

localvsglobaluncertainty

Empirical analysis of recent stochastic gradient methods for approximate inference in Bayesian deep learning, including SWA-Gaussian, MultiSWAG, and deep ensembles. See report_localglobal.pdf.

models

Models and examples built with TensorFlow

munchausen-rl

Reimplementing and discussing/understanding Munchausen RL in a notebook.

nlp-mafiascum

We used deep learning techniques to improve upon a non-deep baseline for distinguishing between liars versus truth-tellers in online games of Mafia. See report_mafiascum.pdf.

random-variable-explanation

I wanted to demonstrate the concept of random variables to some friends in code, as an introduction to their usefulness when thinking about statistical modelling problems.

shoe-recommendation-engine

Building an e-commerce shoe recommender and exploring the associated feature space, and experimenting with generative models to create new designs.