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"

🥝 Autoregressive Models in PyTorch.

[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

This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision

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

This is the official implementation for ControlVAR.

Space Group Informed Transformer for Crystalline Materials Generation

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

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.

Julia package containing utilities intended for Time Series analysis.

ArXiv paper Progressive Autoregressive Video Diffusion Models: https://arxiv.org/abs/2410.08151

[NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

[ACL 2024] Generative Pre-Trained Speech Language Model with Efficient Hierarchical Transformer