variational-autoencoder

Collection of generative models in Tensorflow

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

#计算机科学#Notebooks about Bayesian methods for machine learning

#计算机科学#PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

#计算机科学#Deep probabilistic analysis of single-cell and spatial omics data

#计算机科学#"Deep Generative Modeling": Introductory Examples

#自然语言处理#My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

#学习与技能提升#Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

#计算机科学#Next RecSys Library

PyTorch implementation of normalizing flow models

#计算机科学#Experiments for understanding disentanglement in VAE latent representations

#Awesome#A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

#计算机科学#Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

#时序数据库#We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

Variational autoencoders for collaborative filtering

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Tensorflow implementation of variational auto-encoder for MNIST

#计算机科学#This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Open-AI's DALL-E for large scale training in mesh-tensorflow.