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benchmarking-data-driven-rainfall-runoff-modeling-across-54-catchments-in-the-yellow-river-basin

ccam-china-catchment-attributes-and-meteorology-dataset

Accompanying code for CCAM dataset

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

drq-deep-learning-based-remote-sensing-of-discharge

DRQ

dwf

ealstm_regional_modeling

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

integrated-gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

rivwidths2

Estimating small river widths in terrain environments using scene classification and regression models on Sentinel-2 imagery

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)