LucaAmbrogioni/GP-CaKe-project

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LucaAmbrogioni/GP-CaKe-project

LucaAmbrogioni

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Bayesian Effective Connectivity

CalculusTeachingMaterial

Material for teaching calculus in the Bachelor in AI at Radboud university.

Jupyter Notebook

Brancher

A python library for stochastic variational inference and differentiable probabilistic programming

Functional-GP-analysis-in-Python

A python toolbox for GP analysis written in a functional programming style

Jupyter Notebook

Wasserstein-GAN-on-MNIST

This is a simple Chainer implementation of the Wasserstein GAN on MNIST digits.

Jupyter Notebook

CascadingFlow

Automatic structured variational inference with cascading flows

Probabilistic-Deep-Learning

NeuralEnsembleForecaster

Sample based forecasting with Kernel Mixture Networks

Jupyter Notebook

LocallyCoupledGP

A flexible implementation of the locally coupled GP analysis

Jupyter Notebook

TaylorAlgebra

A simple package for algebraic manipulation of Taylor series. It allows to sum, multiply, divide and compose Taylor series automatically.

Jupyter Notebook