avalentino

avalentino's Stars

• jax-ml/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30.9k3365.8k2.9k

• 89luca89/distrobox

  Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox

  Language:Shell10.4k551.1k430

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook3.8k57981.4k

• indygreg/python-build-standalone

  Produce redistributable builds of Python

  Language:Python2.4k22254138

• jazzband/geojson

  Python bindings and utilities for GeoJSON

  Language:Python93132100122

• geospace-code/georinex

  Python RINEX 2 / 3 NAV / OBS / sp3 reader & batch convert to HDF5 with C-like speed

  Language:Python229287491

• space-physics/iri2016

  International Reference Ionosphere 2016 from Python and Matlab

  Language:Fortran70113537

• pytroll/pyspectral

  Pyspectral is a package to read and manipulate satellite sensor spectral responses and solar irradiance spectra

  Language:Python69117839

• space-physics/igrf

  International Geomagnetic Reference Field IGRF13 in Python and Matlab

  Language:Fortran6891228

• stac-utils/xstac

  STAC from xarray

  Language:Python62576

• egemenimre/ccsds-ndm

  CCSDS Navigation Data Messages Read/Write Library

  Language:Python375144

• space-physics/wmm2020

  WMM2020 geomagnetic model in Python

  Language:C28638

• FPSica/ML4SAR-Tutorial

  This tutorial approaches Synthetic Aperture Radar (SAR) as one more data modality to be integrated into Machine Learning applications, in contrast to traditional SAR-specific tutorials. The focus is on preparing SAR data to be ML-ready, with a clear goal of making it accessible for machine learning workflows.

  Language:Jupyter Notebook27203

• data-apis/array-api-strict

  Strict implementation of the Python array API (previously numpy.array_api)

  Language:Python1915368

• NCAR/GLOW

  The GLobal airglOW Model

  Language:Fortran198311

• libertiff/libertiff

  C++11 simple, header-only, TIFF reader

  Language:C++15301

• space-physics/geomagindices

  Geomagnetic indices downloader and parser--speedy, simple, and efficient

  Language:Python15267

• space-physics/WMM2015

  World Magnetic Model 2015 from Python

  Language:C14342

• space-physics/iri2020

  IRI2020 ionosphere climate model from Python

  Language:Fortran10135

• space-physics/NCAR-GLOW

  CMake, Meson, Matlab, Python additions to GLOW. NCAR wants to publish only base code.

  Language:Fortran9458

• ceos-org/interoperability-handbook

  Version 2 of the CEOS Interoperability Handbook

  6502

• space-physics/apex-python

  clean Python interface to Apex without f2py--compute millions of points per second on laptop.

  Language:Fortran6212

• space-physics/iri90

  IRI90-international reference ionosphere in Python

  Language:Python6305

• d-murashkin/sentinel1_routines

  Routines for handling Sentinel-1 SAR EW data

  Language:Python5200

• DLR-HR/fsar_applyluts

  Command line tool for transforming F-SAR data from slant range to UTM grids and vice versa.

  Language:Python3

• GeoscienceAustralia/sar-pyrosar

  Language:Python260

• MAAP-Project/sardem-sarsen

  To demonstrate an interoperable OGC algorithm using https://github.com/arthurduf/sardem-sarsen.

  Language:Jupyter Notebook230

• stcorp/cscip-client

  Command line script to interface with OData based Copernicus Space Component Interface delivery Point services

  Language:Python2

• GeoscienceAustralia/sar-hyp3-gamma-asf

  Language:Jupyter Notebook170

• GeoscienceAustralia/sar-rtc-opera

  Language:Python160