evwalz / easyuqLinks
☆11Updated last year
Alternatives and similar repositories for easyuq
Users that are interested in easyuq are comparing it to the libraries listed below
Sorting:
- Lightweight library for probabilistic forecast evaluation and optimization.☆53Updated last week
- Official implementation of Score-based Data Assimilation☆61Updated last year
- Literature and light wrappers for gaussian process models.☆46Updated 3 years ago
- A framework for composing Neural Processes in Python☆85Updated 5 months ago
- Data access package for the SubseasonalClimateUSA dataset☆32Updated 7 months ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆49Updated last year
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 7 months ago
- ☆26Updated last month
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆20Updated 4 months ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 2 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 10 months ago
- Benchmarking tools for applying AI/ML to data assimilation☆16Updated this week
- A generative foundation model for the kilometer-scale atmosphere☆46Updated this week
- ☆39Updated 2 months ago
- A Python package for tackling diverse environmental prediction tasks with NPs.☆114Updated last week
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- ☆91Updated last year
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- OceanBench - SSH edition☆20Updated last year
- Uncertainty quantification for data-driven weather models.☆11Updated last month
- Subseasonal forecasting models☆54Updated 4 months ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆95Updated 2 months ago
- SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss☆25Updated 2 years ago
- Collection of resources from each meetup event☆13Updated 4 years ago
- Software implementations of engression by Shen and Meinshausen (2023)☆26Updated last month
- Testing out Diffusion-based models for weather and PV forecasting☆14Updated 2 months ago
- XRO: Extended nonlinear Recharge Oscillator model☆21Updated 2 months ago