#Awesome#Awesome resources on normalizing flows.
#计算机科学#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.
翻译 - Open-AI的DALL-E用于网格张量流的大规模训练。
#计算机科学#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))
#计算机科学#[ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"
This is the official implementation for ControlVAR.
#计算机科学#:kiwi_fruit: 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
#计算机科学#This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision
#时序数据库#🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
ArXiv paper Progressive Autoregressive Video Diffusion Models: https://arxiv.org/abs/2410.08151
Space Group Informed Transformer for Crystalline Materials Generation
[NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
[ACL 2024] Generative Pre-Trained Speech Language Model with Efficient Hierarchical Transformer
#计算机科学#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 ...
#时序数据库#Julia package containing utilities intended for Time Series analysis.