Discover AMLab-Amsterdam/SEVDL_MGP Open Source project

This repository has been archived on 17/Jul/2020
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AMLab-Amsterdam

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Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors", Christos Louizos & Max Welling, ICML 2016

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Python

825

CEVAE

Causal Effect Inference with Deep Latent-Variable Models

Python

323

L0_regularization

Learning Sparse Neural Networks through L0 regularization

Python

237

lie_learn

Computations involving Lie groups and harmonic analysis

Python

190

DIVA

Implementation of 'DIVA: Domain Invariant Variational Autoencoders'

Python

MNF_VBNN

Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks

Python

FNP

Implementation of the Functional Neural Process models

Jupyter Notebook

DataAugmentationInterventions

Python

Manuals

Python

MasterProjectsAIMaterials

A reading list for the Master AI projects June 2016

data_aug_for_interventions

AMLab-Amsterdam/SEVDL_MGP

AMLab-Amsterdam

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