Aleksander

Deep-Kernel-GP. Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

AudioEzDynamics. Classes for controlling dynamic range of audio.

noisy-gp. Gaussian Process Regression for training data with noisy inputs and/or outputs

dax_neuralnet. Python

AutoGeodesics. Easily integrate the geodesics equation using automatic differentiation.

slr. Simple linear regression with confidence intervals

DSP-for-Audio-Modifier-Fuse. Signal processing functions for a Fuse

FutureCashFlow. Discount Future Cash Flows / Dividends by explicitly modelling risk. Instead of using simplistic models with hard-to-calculate discounting rates.

FIR. Python