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An API Client for Australian Weather and Climate Data Resources
A Python library for amortized Bayesian workflows using generative neural networks.
Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection
This repository is set to benchmark the shoreline models contributed to the ShoreShop2.0
Gaussian Markov Random Fields (GMRFs) and Integrated Nested Laplace Approximation (INLA)
Uncertainty quantification with PyTorch
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
Repository for reproducing results in paper "Spatial Bayesian Neural Networks"
minted is a LaTeX package that provides syntax highlighting using the Pygments library. Highlighted source code can be customized using fancyvrb.
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Disentangling driver & constructor performance in the F1 hybrid era
Apuntes personales sobre estadística, machine learning y lenguaje de programación R
Sentinel Hub Cloud Detector for Sentinel-2 images in Python
Template for an academic poster using Marp
👻 Utilities for analyzing Bayesian models and posterior distributions
Code for Tracing the influence of land-use change on water quality and coral reefs using a Bayesian model
Code and data to reproduce the examples in the paper Bayesian views of generalized additive modelling.
framework for large-scale SAR satellite data processing
Repository (data, code, etc.) for the workshop: JuliaEO - Earth Observation with Julia
Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Work with Sentinel 1 with only python...