Pinned Repositories
4DEnVar
Python code for implementing the 4DEnVar Data Assimilation method and examples of use
awesome-citygml
The ultimate list of open data semantic 3D city models
bayesclumpy2
Bayesclumpy2
BayesianQT
Bayesian Quantum State Tomography
bmcmc
MCMC package for Bayesian data analysis
BRDF
A collection of files to compute BRDF kernel weights with the Generalized Singular Value Decomposition
bsdfplot
BSDF plotting scripts
ClimateLaboratoryBook
JupyterBook source for The Climate Laboratory
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
PlayingWithProsailEmulators
leontavares's Repositories
leontavares/PlayingWithProsailEmulators
leontavares/4DEnVar
Python code for implementing the 4DEnVar Data Assimilation method and examples of use
leontavares/awesome-citygml
The ultimate list of open data semantic 3D city models
leontavares/bayesclumpy2
Bayesclumpy2
leontavares/BayesianQT
Bayesian Quantum State Tomography
leontavares/bsdfplot
BSDF plotting scripts
leontavares/ClimateLaboratoryBook
JupyterBook source for The Climate Laboratory
leontavares/ComputationalRadiometry
Notebooks to go with pyradi module for computational radiometry
leontavares/create_publication_quality_netcdf
Content from the NASA Earthdata webinar presented by ORNL DAAC in September 2019.
leontavares/cs-video-courses
List of Computer Science courses with video lectures.
leontavares/DART-atmos-corr
Code and examples for atmospheric correction of longwave infrared camera imagery
leontavares/downscale-satelliteLST
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
leontavares/ESMValTool
ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
leontavares/GLMs
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
leontavares/H2020_MULTIPLY_training
H2020 MULTIPLY training materials
leontavares/HyperBlend
HyperBlend is a new type of hyperspectral image simulator based on Blender.
leontavares/hytools
Hyperspectral image processing library
leontavares/pi_lecture_pytorch
Tutorial codes for a physics informed machine learning lecture based on shwallow water equation.
leontavares/ProbaVReader
leontavares/pyOptimalEstimation_examples
leontavares/pyradi
a Python toolkit to perform optical and infrared computational radiometry
leontavares/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
leontavares/pyTirCam
a Python model to manage thermal infrared camera data
leontavares/remote-sensing-image-retrieval
Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models
leontavares/rhone-ecostress
leontavares/sentinel-toolkit
Sentinel-2 Toolkit library for converting Ecostress Spectral Distributions to Sentinel-2 Reponses. Also provides convenient utility tools for working with NASA's Ecostress Spectral Library and Sentinel-2 Spectral Response Functions.
leontavares/snerf
Code for ''Shadow Neural Radiance Fields for Multi-View Photogrammetry'' Derksen Dawa, Dario Izzo
leontavares/statistical-rethinking-2023
Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series.
leontavares/Univeristy-Notes
Notes from MSc Mathematical Engineering - Statistical Learning at Politecnico di Milano 📚
leontavares/WhileMyMCMCGentlySamples
my blog