Pinned Repositories
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"
haozhen315's Repositories
haozhen315/CCAM-China-Catchment-Attributes-and-Meteorology-dataset
Accompanying code for CCAM dataset
haozhen315/DRQ-Deep-learning-based-Remote-sensing-of-Discharge
DRQ
haozhen315/Benchmarking-data-driven-rainfall-runoff-modeling-across-54-catchments-in-the-Yellow-River-Basin
haozhen315/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
haozhen315/DWF
haozhen315/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"
haozhen315/Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
haozhen315/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
haozhen315/RivWidthS2
Estimating small river widths in terrain environments using scene classification and regression models on Sentinel-2 imagery
haozhen315/self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
haozhen315/sparse-to-dense
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)