Coxy1989

TFMR

Keras/Tensorflow implementation of the decoder component from: Attention Is All You Need and example usage by means of a language model trained on a small baking cookbook.

Rx 💉

Keras/Tensorflow character-level language model trained on the British National Formulary (BNF) A-Z of clinical medicines and a minigame to challenge it.

Superconv

Keras/Tensorflow implementation of the 1cycle learning rate policy as originally described in the paper: Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

CLR

Pytorch implementation of the Learning Rate Range Test and Cyclical Learning Rates (CLR) as originally described in the paper: Cyclical Learning Rates for Training Neural Networks.

Hackathon: Helping South East Water manage bursts. Working in a team alongside a friend, our solution got a special mention from the judges and we were awarded with a small cash prize - check out our presentation slides.

West Nile Virus

West Nile Virus in Chicago: Exploratory data analysis, data pipeline and models.

House Prices

House Prices in Iowa: Exploratory data analysis, data pipeline and models.

ISL

My solutions to the labs and exercises from the classic textbook: An Introduction to Statistical Learning with applications in R. I follow in Python rather than R, with heavy use of: numpy, pandas, sklearn, matplotlib, seaborn, patsy and statsmodels.

Algs

Numpy implementations a handful of statistical learning algorithms that appear in the classic textbooks: An Introduction to Statistical Learning and The Elements of Statistical Learning.

MFML

My solutions to the assignments from Imperial College's Mathematics for Machine Learning coursera course. FWIW - you get a certificate of completion, mine is here.