gewitterblitz's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
rmcelreath/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
hypre-space/hypre
Parallel solvers for sparse linear systems featuring multigrid methods.
radarsimx/radarsimpy
Radar Simulator built with Python and C++
john-s-butler-dit/Numerical-Analysis-Python
Python notebooks for Numerical Analysis
SchmollerLab/Cell_ACDC
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
nbren12/call_py_fort
Call python from fortran
djgagne/hagelslag
Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.
RolnickLab/constrained-downscaling
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
GatorGlaciology/GStatSim
Geostatistical tools and demos for ice sheet analysis
weigertlab/trackastra
annefou/Fortran
Fortran materials
metno/titanlib
Automatic data quality control software library
MeteoSwiss/fast-barnes-py
Repository for Python implementation of fast Barnes interpolation algorithms.
uwescience/SciPy2024-GitHubActionsTutorial
Content for SciPy 2024 Tutorial "Github Actions for Scientific Data Workflows."
uobwatergroup/towerpy
Towerpy is an open-source toolbox for processing polarimetric weather radar data
equinor/iterative_ensemble_smoother
Algorithms for data assimilation using ensemble methods.
cellcanvas/surforama
a tool for using surfaces to explore volumetric data in napari
avgeiss/invertible_sr
Code for the paper: "Invertible CNN-Based Super Resolution with Downsampling Awareness" by Andrew Geiss and Joseph C. Hardin, Nov 2020
FabriFalasca/py-dMaps
d-Maps goes into Python mode.
point-cloud-radar/bird-cloud-gnn
This package generates graph representations from point cloud data and fits graph neural networks for classification problem
storm-tracking/storm-tracking.github.io
A webpage providing an overview of different tracking tools and existing datasets for convective storm systems
antarcticrainforest/PatternRecog
Global recognition and analysis of coastline associated rainfall using objective pattern recognition
bochens/MPyLab
Python toolkit for reading, plotting, and analyzing Micropulse Lidar data
DLFinney/GOES_cloud_parallax_shift
Code which adjusts GOES cloud fields for parallax shift, and regrids them
matzegoebel/WRFlux
Extract and average fluxes from advection and SGS diffusion modules in WRF
adams-selin/trajectory_clustering
Software to cluster three-dimensional trajectories in space.
Shakiro7/coldPool-detection-and-tracking
Bhare8972/GroningerLightningPlotter
A Python package for plotting lightning point-source data. Heavily inspired by New Mexico Tech's work.