Federico Bergamin's repositories
Variational-Inference-with-Normalizing-Flows
Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch
riemannian-laplace-approximation
Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
Ladder-Variational-Autoencoders
Personal implementation of "Ladder Variational Autoencoders" by [Sønderby, et al., 2016] (LVAE) in PyTorch
Gaussian-Process-demo
Interactive Gaussian Process demo, useful for live demonstration when teaching Gaussian Processes.
model-agnostic-ood
Code for the paper "Model-agnostic out-of-distribution detection using combined statistical tests" (AISTATS 2022)
Variational-Autoencoders-in-Julia
Implementation of "Auto-Encoding Variational Bayes" by Kingma and Welling, 2014 in Julia [VAE in Julia]. Still working on it.
MIWAE-PyTorch
PyTorch implementation of MIWAE
DDPG-HER-PyTorch
Reinforcement Learning experiments using DDPG and HER implemented in PyTorch
federicobergamin.github.io
Personal webpage
google-research
Google Research
Variational-Autoencoders
Personal implementation of a simple VAE in PyTorch as described in "Auto-Encoding Variational Bayes" [Kingma, Welling, 2014]