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Top 9 variational-autoencoders open source projects

A Collection of Variational Autoencoders (VAE) in PyTorch.

✭ 2,704

python deep-learning pytorch architecture vae reproducible-research beta-vae paper-implementations gumbel-softmax celeba-dataset wae variational-autoencoders pytorch-implementation dfc-vae iwae vqvae vae-implementation pytorch-vae

ladder-vae-pytorch

Ladder Variational Autoencoders (LVAE) in PyTorch

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python pytorch vae representation-learning unsupervised-learning variational-inference generative-models variational-autoencoders ladder-vae ladder-variational-autoencoders

Official implementation of Dynamical VAEs

✭ 75

python deep-learning generative-model variational-autoencoders

deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

✭ 41

python cognitive-science variational-inference monte-carlo-tree-search monte-carlo-methods machine-learning-models variational-autoencoders dsprites disentangled-representations model-based-reinforcement-learning active-inference animal-ai cognitive-architectures

Deep and Machine Learning for Microscopy

✭ 77

python machine-learning deep-learning materials jupyter-notebook pytorch ensemble-learning electron-microscopy materials-science microscopy semantic-segmentation fully-convolutional-networks multivariate-analysis variational-autoencoders deep-kernel-learning scanning-probe-microscopy google-colaboratory

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, arXiv:2104.09159, 2021.

✭ 29

python shell incremental-learning variational-autoencoders capsule-networks openset-recognition

continuous Bernoulli

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

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C++deep-neural-networks simulator deep-learning statistical-analysis vae deeplearning autoencoders test-statistic variational-autoencoder variational-autoencoders deeplearning-ai vae-implementation continuous-bernoulli point-estimator

Generator loss to reduce mode-collapse and to improve the generated samples quality.

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python tensorflow generative-model generative-adversarial-networks variational-autoencoders determinantal-point-processes

A PyTorch implementation of alpha-GAN

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python deep-learning pytorch tensorboard generative-adversarial-networks variational-autoencoders

1-9 of 9 variational-autoencoders projects