NSAPH-Projects / spaceLinks
SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
☆17Updated 3 months ago
Alternatives and similar repositories for space
Users that are interested in space are comparing it to the libraries listed below
Sorting:
- A Causal Inference Framework for Environmental Data Analysis☆21Updated 4 years ago
- A python library for creating complex networks of geospatial time series data - here examples from HadISST sea surface temperature data☆14Updated 3 years ago
- Software implementations of engression by Shen and Meinshausen (2023)☆39Updated this week
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆52Updated last year
- Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia☆22Updated 3 years ago
- ☆11Updated 6 years ago
- ☆15Updated 11 years ago
- Training material on writing machine learning code with PyTorch by ICCS☆35Updated 3 weeks ago
- Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.☆25Updated 5 years ago
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆51Updated last month
- A Python package for tackling diverse environmental prediction tasks with NPs.☆116Updated this week
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆61Updated 5 months ago
- Matlab toolbox for dynamic linear models☆13Updated 4 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 6 months ago
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆188Updated 2 weeks ago
- A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…☆40Updated 5 months ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated this week
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆59Updated 7 months ago
- Lightweight library for probabilistic forecast evaluation and optimization.☆63Updated last month
- Python Climate Time Series package☆10Updated 2 years ago
- A user-friendly python package for computing and plotting machine learning explainability output.☆39Updated last year
- ☆21Updated last year
- multilevel spatially-correlated variance components models☆18Updated last year
- ML Datasets Catalog☆58Updated 2 years ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- Python package for early warning signals (EWS) of bifurcations in time series data.☆90Updated 2 weeks ago
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- ☆18Updated last year
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- A Python package for fitting Quinlan's Cubist regression model☆50Updated 2 months ago