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4denvar

Python code for implementing the 4DEnVar Data Assimilation method and examples of use

automatedplanetdata

dataanalysis

deeplearning-fluorescence-image-superresolution

Compared three deep learning models for fluorescence image super resolution, including EDSR, SRGAN and SR3 (diffusion).

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

old_pyda

Data Assimilation Package for Python

opg-cnn-northern-utah-ciroh-workshop

This workshop offers participants an introduction to convolutional neural networks (CNNs) for their application in hydro-meteorology. The hands-on portion of the workshop focuses on customizing a CNN through hyperparameter exploration, adjusting CNN layers, and manipulating inputs.

pyda

PyDA: A hands-on introduction to dynamical data assimilation with Python

python-hydrology-tools

:droplet: This repository holds a list of open source Python packages interesting to Hydrologists

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentation_pytorch

Simple image segmentation pipeline in pytorch, using HRNet and SegFormer models

sssegmentation

SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.

super_resolution_with_cnns_and_gans

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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