JohnReid/sparse-decomp
Sparse decomposition of linear regression under uncertainty
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
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Sparse decomposition of linear regression under uncertainty
R package to model time series accounting for noise in the temporal dimension. Specifically designed for single cell transcriptome experiments.
A collection of css themes for Markdown
A python package for motif finding using importance sampling over suffix arrays