Stars
Forecasting Crude Oil Prices Using Conditional Generative Adversarial Networks (CGAN) and Stochastic Differential Equations (SDEs)
A Python platform for assimilating GRACE into hydrological model
Automated Machine Learning with scikit-learn
Groundwater Time Series Modeling Challenge
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
This is the codes and examples described in "Mo, S., Lu, D., Shi, X., Zhang, G., Ye, M., Wu, J., & Wu, J. (2017). A Taylor expansion‐based adaptive design strategy for global surrogate modeling wit…
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
SCRFpublic / snesim-standalone
Forked from pejmant/SNESIMStandalone Fortran 90 version of snesim written by Sebastien Strebelle
Exploring Self-attention for Image Recognition, CVPR2020.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
PyTorch implementations of Generative Adversarial Networks.