Stars
PyTorch implemetation of multi-layer quasi-geostrophic model on rectangular domain with solid boundaries.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning task…
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather,…
[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
neural networks to learn Koopman eigenfunctions
Transformers for modeling physical systems
this is the pytorch version of Conditional Generative Adversarial Nets