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Tree Crown Segmentation and Analysis in Remote Sensing Imagery with PyTorch -- https://deeptrees.de

Ultralytics YOLOv8 with DEEPaaS API

Analysis of Microcalorimetric Metabolic Data Using Monod's Equation

This is a mirror of https://github.com/Parallel-in-Time/pySDC

The Linear Meta-Model optimization (LiMMo) is a Python-tool designed for the objective tuning of regional climate models (RCM) and numerical weather prediction models (NWPM) to gridded observational datasets.

In this approach, the surface 2D output of the RCM/NWPM is approximated using regression method (linear, piecewise-linear, quadratic). A user-defined error norm, which quantifies the difference between the regression approximation and the observations, is then minimized using a gradient-based optimization method.