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256

1.2k

mit

33

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

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

Created 2016-08-15

59 commits to master branch, last one 7 months ago

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

ScanComplete angeladai

50

262

apache-2.0

16

[CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

deep-learning computer-vision 3d-reconstruction computer-graphics autoregressive-neural-networks

Created 2017-12-24

11 commits to master branch, last one 4 years ago

Diverse-Structure-Inpainting USTC-JialunPeng

19

176

mit

7

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

vq-vae attention inpainting multimodal tensorflow autoregressive-neural-networks generative-adversarial-networks

Created 2021-03-13

38 commits to main branch, last one 3 years ago

naru naru-project

33

99

apache-2.0

7

Neural Relation Understanding: neural cardinality estimators for tabular data

transformers generative-model learned-database density-estimation query-optimization deep-generative-model unsupervised-learning cardinality-estimation self-supervised-learning learned-database-components autoregressive-neural-networks

Created 2019-11-20

3 commits to master branch, last one 4 years ago

stat-mech-van wdphy16

27

91

mit

10

Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.

pytorch statistical-physics scientific-computing variational-monte-carlo autoregressive-neural-networks

Created 2018-09-20

10 commits to master branch, last one 7 months ago

GLOP henry-yeh

9

73

mit

2

[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

transformer divide-and-conquer non-autoregressive graph-neural-networks reinforcement-learning vehicle-routing-problem deep-reinforcement-learning travelling-salesman-problem autoregressive-neural-networks neural-combinatorial-optimization capacitated-vehicle-routing-problem hierarchical-reinforcement-learning prize-collecting-travelling-salesman-problem

Created 2022-09-13

136 commits to master branch, last one 8 days ago

GVAR i6092467

19

64

unknown

1

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

causality machine-learning granger-causality interpretable-models time-series-analysis granger-causality-analysis autoregressive-neural-networks

Created 2021-01-14

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