Deep unsupervised learning

[NEW!]  Code for Time-Contrastive Learning

Linear unsupervised learning

FastICA: Fast Independent Component Analysis

ICASSO: Analyzing reliability of independent components

LiNGAM: Causal discovery based on non-Gaussianity

Natural image statistics / visual modelling

Natural Image Statistics package (code for the book); alternatively the imageica package

Neuroimaging data analysis

SpeDeBox: Decoding EEG/MEG using spectral infomation

OCF: Analysing variability (nonstationarity) of connectivity

ISCTEST: Testing independent components

Fourier-ICA: Improved ICA by time-frequency transforms

[Most were programmed by others, but implementing algorithms I have (co-)developed]


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