Tim Nugent

kernel-density. Multivariate kernel density estimation [statistics]

bandit-algorithms. Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]

logistic-regression-sgd. L1-regularized logistic regression using stochastic gradient descent [machine learning]

naive-bayes. Naïve Bayes classifier with gaussian, multinomial and bernoulli decision rules [machine learning][statistics]

svd-recommend. Singular Value Decomposition-like matrix factorization for collaborative filtering [recommender systems]

kpca-eigen. Kernel principal component analysis using the Eigen linear algebra library [machine learning]

memembed. Membrane protein orientation using a genetic algorithm and knowledge-based statistical potential [bioinformatics]

kridge-regression. Kernel ridge regression and OLS tools using the Eigen linear algebra library [statistics]

true-clinical. Improving data transparency in clinical trials using blockchain smart contracts [blockchain]

spectral. Spectral clustering using K-means and a radial basis function kernel matrix [machine learning]

neural-net. Backpropogation artificial neural network using stochastic gradient descent [machine learning]

psicov-dirichlet. Modified version of PSICOV algorithm, replacing pseudocounts with dirichlet priors [bioinformatics][statistics]

jglcov. Sparse inverse covariance estimation using the joint graphical lasso [bioinformatics][statistics]

film3x. Modification of FILM3 algorithm to incorporate membrane potential term [bioinformatics]

gtimelapse. Linux application for capturing timelapse videos [photography]

celeste. Identify clouds in images using support vector machines for enhanced panoramic stitching [machine learning][photography]

pideck. Setup scripts for PiDeck

drawtransmembane. Perl modules for drawing cartoon and schematic representations of transmembrane proteins [bioinformatics]