A TensorFlow implementation of the PixelCNN.
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Updated
Jan 6, 2019 - Python
A TensorFlow implementation of the PixelCNN.
Repository for the paper "Advancing Time Series Forecasting: Variance-Aware Loss Functions in Transformers"
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.
predict sales based on time series data explicitely using deep learning
Prediction of solar energy consumption using recurrent neural networks
Machine Learning-based research for UPMC
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
A repository for autoregressive prediction via LSTM or some other ANN.
Code for variable skipping ICML 2020 paper
Solutions for UCBerkeley CS294-158: Deep Unsupervised Learning Spring 2019
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
Tensorflow 2 implementation of PixelCNN++.
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
Variational Autoregressive Network in Julia
AutoregressModel-AE_VAD_CVPR2019 (code reimplemetation)
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Tensorflow 2.0 implementation of Deep Autoregressive Models
Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits
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