variational-autoencoder

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.

deep-learning artificial-neural-networks replay incremental-learning variational-autoencoder generative-models lifelong-learning distillation continual-learning elastic-weight-consolidation replay-through-feedback icarl gradient-episodic-memory class-incremental-learning task-incremental-learning domain-incremental-learning

Updated Feb 23, 2023
Python

altosaar / variational-autoencoder

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Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

Updated Nov 11, 2021
Python

wubinzzu / NeuRec

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Next RecSys Library

deep-learning social-network tensorflow collaborative-filtering neural-networks autoencoder convolutional-neural-networks sequential recommender-systems gcn adversarial-learning variational-autoencoder

Updated Nov 21, 2022
Python

scverse / scvi-tools

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Deep probabilistic analysis of single-cell omics data

deep-learning scrna-seq variational-autoencoder variational-bayes single-cell-genomics single-cell-rna-seq deep-generative-model cite-seq human-cell-atlas scverse

Updated Mar 6, 2023
Python

matthewvowels1 / Awesome-VAEs

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

deep-learning generative-model vae awesome-list representation-learning unsupervised-learning variational-inference variational-autoencoder variational-bayes disentanglement variational-auto-encoder disentangled-representations

Updated Jul 11, 2021

YannDubs / disentangling-vae

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Experiments for understanding disentanglement in VAE latent representations

deep-learning reproducible-research pytorch mnist chairs-dataset vae representation-learning unsupervised-learning beta-vae celeba variational-autoencoder disentanglement dsprites fashion-mnist disentangled-representations factor-vae beta-tcvae

Updated Feb 2, 2023
Python

jmtomczak / intro_dgm

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An Introduction to Deep Generative Modeling: Examples

deep-learning pytorch generative-adversarial-network variational-autoencoder energy-based-model flow-based-modeling deep-generative-modelling autoregressive-modeling neural-compression

Updated Feb 21, 2022
Jupyter Notebook

dawenl / vae_cf

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Variational autoencoders for collaborative filtering

collaborative-filtering bayesian-inference recommender-systems variational-autoencoder

Updated Feb 19, 2018
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EndlessSora / focal-frequency-loss

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

image-reconstruction generic generative-adversarial-network gan autoencoder image-generation spade pix2pix frequency-domain frequency-analysis loss variational-autoencoder generative-models image-synthesis complementary loss-function stylegan2 iccv2021

Updated Jun 4, 2022
Python

hwalsuklee / tensorflow-mnist-VAE

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Tensorflow implementation of variational auto-encoder for MNIST

tensorflow mnist autoencoder vae dae denoising-autoencoders variational-autoencoder

Updated Apr 11, 2017
Python

navneet-nmk / pytorch-rl

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This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Updated Jul 14, 2019
Python

EleutherAI / DALLE-mtf

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

transformers artificial-intelligence autoregressive text-to-image variational-autoencoder multimodal

Updated Feb 12, 2022
Python

timbmg / VAE-CVAE-MNIST

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Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

deep-learning pytorch mnist vae latent-variable-models cvae variational-autoencoder

Updated Jun 22, 2022
Python

nicola-decao / s-vae-pytorch

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Pytorch implementation of Hyperspherical Variational Auto-Encoders

machine-learning deep-learning pytorch vae manifold-learning variational-autoencoder von-mises-fisher hyperspherical-vae

Updated Mar 21, 2020
Python

snakeztc / NeuralDialog-CVAE

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Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

deep-learning end-to-end chatbot generative-model dialogue-systems cvae variational-autoencoder variational-bayes

Updated Nov 26, 2018
OpenEdge ABL

omerbsezer / Generative_Models_Tutorial_with_Demo

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Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

tutorial generative-adversarial-network dcgan generative-model gaussian-mixture-models auto-regressive-model gans bayesian-classifiers variational-inference tutorial-code variational-autoencoder cyclegan

Updated Jan 21, 2019
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