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1.0k

6.1k

apache-2.0

43

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

Created 2020-01-10

72 commits to master branch, last one 2 years ago

probabilistic_unet SimonKohl

99

540

apache-2.0

20

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

nips u-net neurips nips-2018 neurips-2018 generative-models semantic-segmentation variational-inference variational-autoencoders

Created 2018-08-28

20 commits to master branch, last one 4 years ago

BayesianDeepLearning-Survey js05212

63

494

unknown

29

Bayesian Deep Learning: A Survey

bdl arxiv survey bayesian deep-learning neural-networks machine-learning bayesian-deep-learning variational-autoencoders

Created 2019-07-17

160 commits to master branch, last one 18 days ago

pytorch-generative EugenHotaj

62

407

mit

14

Easy generative modeling in PyTorch.

vd-vae vq-vae beta-vae pixelcnn image-gpt pixelsnail image-generation generative-models pytorch-generative paper-implementations variational-autoencoders autoregressive-neural-networks

Created 2020-03-25

315 commits to master branch, last one 8 months ago

Deep-Generative-Models-for-Natural-Language-Processing FranxYao

33

390

unknown

22

DGMs for NLP. A roadmap.

Created 2019-04-09

191 commits to master branch, last one about a year ago

deepscm biomedia-mira

53

257

mit

9

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

deep-learning counterfactuals causal-inference normalizing-flows variational-autoencoders

Created 2020-06-10

250 commits to master branch, last one 3 years ago

DVAE XiaoyuBIE1994

36

202

other

4

Official implementation of Dynamical VAEs

deep-learning generative-model variational-autoencoders

Created 2020-11-25

28 commits to master branch, last one about a year ago

atomai pycroscopy

38

181

mit

11

Deep and Machine Learning for Microscopy

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

Created 2020-09-04

1,412 commits to master branch, last one 3 months ago

deep-active-inference-mc zfountas

12

74

gpl-3.0

4

Deep active inference agents using Monte-Carlo methods

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

Created 2020-06-03

22 commits to master branch, last one 2 years ago

ArtificialIntelligenceEngines jgvfwstone

15

58

mit

10

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

gan learning perceptron deeplearning deep-learning backpropagation neural-networks machine-learning boltzmann-machine reinforcement-learning artificial-intelligence hopfield-neural-network variational-autoencoders perceptron-neural-networks

Created 2019-02-21

279 commits to master branch, last one about a year ago

cvaecaposr guglielmocamporese

8

42

unknown

3

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

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

Created 2021-04-09

41 commits to master branch, last one about a year ago