A TensorFlow implementation of the PixelCNN.
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Updated
Jan 6, 2019 - Python
A TensorFlow implementation of the PixelCNN.
Machine Learning-based research for UPMC
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
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
predict sales based on time series data explicitely using deep learning
Investigation into Generative Neural Networks.
Prediction of solar energy consumption using recurrent neural networks
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
A repository for autoregressive prediction via LSTM or some other ANN.
Variational Autoregressive Network in Julia
Solutions for UCBerkeley CS294-158: Deep Unsupervised Learning Spring 2019
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning
Tensorflow 2.0 implementation of Deep Autoregressive Models
Tensorflow 2 implementation of PixelCNN++.
Code for variable skipping ICML 2020 paper
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
AutoregressModel-AE_VAD_CVPR2019 (code reimplemetation)
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