12 results found Sort:

AntixK
PyTorch-VAE AntixK
1.1k
6.7k
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
SimonKohl
probabilistic_unet SimonKohl
100
546
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
js05212
BayesianDeepLearning-Survey js05212
62
505
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
169 commits to master branch, last one 10 days ago
EugenHotaj
pytorch-generative EugenHotaj
68
428
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 about a year ago
FranxYao
Deep-Generative-Models-for-Natural-Language-Processing FranxYao
33
392
unknown
22
DGMs for NLP. A roadmap.
mcmc parsing decoding language-model generative-text text-generation generative-model graphical-models generative-models normalizing-flows discrete-structures gradient-estimation approximate-inference structured-prediction variational-inference latent-variable-models markov-chain-monte-carlo variational-autoencoders natural-language-processing generative-adversarial-networks
Created 2019-04-09
191 commits to master branch, last one about a year ago
biomedia-mira
deepscm biomedia-mira
53
270
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
XiaoyuBIE1994
DVAE XiaoyuBIE1994
39
214
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
pycroscopy
atomai pycroscopy
41
195
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 9 months ago
zfountas
deep-active-inference-mc zfountas
15
84
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 3 years ago
EdoardoBotta
RQ-VAE-Recommender EdoardoBotta
3
62
unknown
2
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
vae gumbel retrieval generative recommender semantic-id semantic-ids generative-ai recommendation retrieval-systems recommender-system recommendersystems generative-retrieval recommendation-system variational-autoencoder variational-autoencoders
Created 2024-06-17
42 commits to main branch, last one 3 days ago
jgvfwstone
ArtificialIntelligenceEngines jgvfwstone
15
59
mit
11
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 2 years ago
guglielmocamporese
cvaecaposr guglielmocamporese
8
44
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 2 years ago