A collection of numerical and algorithmic subroutines I've implemented and found helpful for various tasks:

• ssk.jl – String Subsequence Kernel (SSK) implementation
• rsvd.jl – Randomized Singular Value Decomposition
• gp.jl – Gaussian Process Regression
• fft.jl – Examples showcasing usage of FFTW.jl
• bfs.jl – Breadth-First Search for finding connected components from an adjacency matrix
• BO_1d.jl – 1D Bayesian Optimization example
• lsh.jl – Locality Sensitive Hashing (LSH) implementation