Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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Updated
Apr 24, 2024 - Python
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Easy generative modeling in PyTorch.
[CVPR'18] ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
Neural Relation Understanding: neural cardinality estimators for tabular data
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
AutoregressModel-AE_VAD_CVPR2019 (code reimplemetation)
Tensorflow 2.0 implementation of Deep Autoregressive Models
Tensorflow 2 implementation of PixelCNN++.
Code for variable skipping ICML 2020 paper
A repository for autoregressive prediction via LSTM or some other ANN.
Variational Autoregressive Network in Julia
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
Solutions for UCBerkeley CS294-158: Deep Unsupervised Learning Spring 2019
A TensorFlow implementation of the PixelCNN.
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