#计算机科学#A Collection of Variational Autoencoders (VAE) in PyTorch.
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
#计算机科学#Bayesian Deep Learning: A Survey
Easy generative modeling in PyTorch
#自然语言处理#DGMs for NLP. A roadmap.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
#自然语言处理#I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
#计算机科学#Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
#计算机科学#(FTML 2021) Official implementation of Dynamical VAEs
#计算机科学#Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
#计算机科学#Deep and Machine Learning for Microscopy
#计算机科学#Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification
#计算机科学#Training and evaluating a variational autoencoder for pan-cancer gene expression data
Variational Graph Recurrent Neural Networks - PyTorch
Ladder Variational Autoencoders (LVAE) in PyTorch
#计算机科学#This repository tries to provide unsupervised deep learning models with Pytorch
Deep active inference agents using Monte-Carlo methods
#计算机科学#Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
#学习与技能提升#Computer code collated for use with Artificial Intelligence Engines book by JV Stone
