google / bayesnfLinks
Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
☆138Updated last year
Alternatives and similar repositories for bayesnf
Users that are interested in bayesnf are comparing it to the libraries listed below
Sorting:
- A Python package for tackling diverse environmental prediction tasks with NPs.☆116Updated this week
- An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.☆157Updated 8 months ago
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆51Updated last month
- Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph …☆261Updated last week
- Lightweight library for probabilistic forecast evaluation and optimization.☆63Updated last week
- A time series foundation model for Earth Observation☆68Updated last year
- A framework for composing Neural Processes in Python☆85Updated 9 months ago
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆188Updated 2 weeks ago
- SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss☆27Updated 3 years ago
- ☆62Updated 8 months ago
- A modular framework for evaluating weather forecasts☆133Updated this week
- ☆93Updated last year
- A Python package for fitting Quinlan's Cubist regression model☆50Updated this week
- ☆65Updated 6 months ago
- Data access package for the SubseasonalClimateUSA dataset☆35Updated 11 months ago
- Research Software for Neural Weather Prediction for Limited Area Modeling☆179Updated this week
- Source code for ClimateLearn☆345Updated last year
- 🌦️ A catalogue and categorization of AI-based weather forecasting models.☆130Updated 5 months ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- A user-friendly python package for computing and plotting machine learning explainability output.☆39Updated last year
- Spatial Interpolation in Python☆13Updated last year
- Package implementing Convergent Cross Mapping for causality inference in dynamical systems☆48Updated last year
- Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch☆226Updated last year
- Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models☆48Updated last year
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆199Updated this week
- Subseasonal forecasting models☆55Updated 8 months ago
- ☆68Updated last year
- tsl: a PyTorch library for processing spatiotemporal data.☆351Updated 3 months ago
- Generating AI-ready datasets in python for air quality and EO-related studies using Google Earth Engine☆87Updated last year
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆27Updated 7 months ago