Awesome resources on normalizing flows.

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

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"

End-2-end speech synthesis with recurrent neural networks

Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

[ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"

[CVPR 2022] Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

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

🥝 Autoregressive Models in PyTorch.

🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

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

Julia package containing utilities intended for Time Series analysis.

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.

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

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

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

Battery SoC prediction using a RNN autoregressive architecture implemented with Pytorch

Implementation of Metaformer, but in an autoregressive manner

Space Group Informed Transformer for Crystalline Materials Generation