autoregressive

A list of awesome resources on normalizing flows.

Open-AI's DALL-E for large scale training in mesh-tensorflow.

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

End-2-end speech synthesis with recurrent neural networks

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Julia package containing utilities intended for Time Series analysis.

A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.

Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes

🥝 Autoregressive Models in PyTorch.

Score-driven models, aka generalized autoregressive score models, in Julia

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

Forecasting Monthly Sales of French Champagne - Perrin Freres

Autoregressive Bayesian linear model

R package to estimate time-varying coefficient regressions

Battery SoC prediction using a RNN autoregressive architecture implemented with Pytorch

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

InfoMax-VAE pytorch implementation

A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.

List of papers and code for relevant Generative Models

Noise-conditional score networks for music composition by annealed Langevin dynamics

Light, modular framework for dynamic time series modeling, compatible with scikit-learn

Implementing Bayes by Backprop with PyTorch. Applied on time-series prediction.

Time series predictive model to forecast the airline monthly passenger

Crop yield Forecasting on the basis of meteorological predictions using some Time series & ML models

Reinforcement Learning Agent for Autonomous Synthesis of pure phase MoS2 with minimum defect conc. by CVD

Auto Regressive Models applied on Paris Subway Stations. Time Series Analysis. Predictions of affluence.

Statistical Learning Models for Damage Detection in Civil Structures.