Nick Sexton's Projects
Directly interfacing brain and deep networks exposes non-hierarchical visual processing (code)
Concatenate multiple word embeddings (then, optionally, reduce dimensions using PCA)
Steyvers, Computational Statistics with Matlab
Deep Learning Cookbook
Neural network models to translate english/emoji and emoji/english
Topic Modelling for Humans
Code for demonstrating training a keras model on the GPU servers
Octave Implementation of the Gilbert & Shallice Task Switching Model (Cognitive Psychology, 2002)
Repository for developing gtk/cairo interface to pdp models built in c
A variety of TensorFlow models for supervised learning on the MNIST/Fashion-MNIST datasets
Some hyperparameter search algorithms, incl. quick and dirty genetic algorithm
Website for @lovebc http://bradlove.org
lovelab (public)
Latex code for making neural networks diagrams
Sequence classifier models with attention, on the Kaggle NLP competition Quora questions dataset
Random Number Generation model of the Supervisory System. Published in Sexton & Cooper (2014) Frontiers in Psychology paper.
My PhD work on interactive activation models of human task switching. Implementation in C with interfaces in Python and R. Published in Sexton & Cooper (2017), Cognitive Psychology
word2vec uisng keras inside gensim
Implementation of the ym switching model