MatteoZambra

DBN-developmental-approach

Support Code

dbn-pytorch

Deep Belief Network implementation. Self-teaching purpose only

Deep-Belief-Network-pytorch

This repository has implementation and tutorial for Deep Belief Network

Developmental-Approach-DBN

Support code

DinAE_4DVarNN_torch

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

LaboratoryOfComputationalPhysics

MatteoZambra

Config files for my GitHub profile.

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

SM_ML__MScThesis

Mining network motifs in a Deep Neural Network

MatteoZambra/SM_ML__MScThesis

Mining network motifs in a Deep Neural Network

MatteoZambra/dbn-pytorch

Deep Belief Network implementation. Self-teaching purpose only

MatteoZambra/multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

MatteoZambra/DBN-developmental-approach

Support Code

MatteoZambra/Deep-Belief-Network-pytorch

This repository has implementation and tutorial for Deep Belief Network

MatteoZambra/Developmental-Approach-DBN

Support code

MatteoZambra/DinAE_4DVarNN_torch

MatteoZambra/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

MatteoZambra/LaboratoryOfComputationalPhysics

MatteoZambra/MatteoZambra

Config files for my GitHub profile.

MatteoZambra/mmvae

Multimodal Mixture-of-Experts VAE

MatteoZambra/mzambra

Living version of my CV

MatteoZambra/rbm_pytorch

Restricted Boltzmann Machines and PyTorch playground. Self-teaching purpose only

MatteoZambra/restricted-boltzmann-machine-deep-belief-network-deep-boltzmann-machine-in-pytorch

MatteoZambra/SCOOP__AY1718

Portfolio purpose only

MatteoZambra/stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison