There are 5 repositories under autoregressive-neural-networks topic.
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
CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"
Neural Relation Understanding: neural cardinality estimators for tabular data
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
Tensorflow 2.0 implementation of Deep Autoregressive Models
AutoregressModel-AE_VAD_CVPR2019 (code reimplemetation)
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
Tensorflow 2 implementation of PixelCNN++.
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
Solutions for UCBerkeley CS294-158: Deep Unsupervised Learning Spring 2019
A repository for autoregressive prediction via LSTM or some other ANN.
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
Machine Learning-based research for UPMC
Prediction of solar energy consumption using recurrent neural networks
predict sales based on time series data explicitely using deep learning
Code and scripts for training, testing and sampling auto-regressive recurrent language models on PyTorch with RNN, GRU and LSTM layers
Investigation into Generative Neural Networks.