NSAPH-Projects / space

Related projects: ⓘ

• runesen / spatio_temporal_causality
  Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia
  ☆20Updated 2 years ago
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  🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others
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• savinims / DATAS_Causal_Discovery
  Causal inference tutorials written as part of the Data Analysis Tools for Atmospheric Scientists (DATAS) Gateway.
  ☆9Updated 3 years ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆56Updated last week
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  Fixed Rank Kriging with big data
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• alan-turing-institute / environmental-ds-book
  A computational notebook community for open environmental data science 🌎
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• alan-turing-institute / mogp-emulator
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  ☆46Updated 11 months ago
• vejmelkam / ndw-climate
  ☆14Updated 10 years ago
• xwshen51 / engression
  Software implementations of engression by Shen and Meinshausen (2023)
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  ☆19Updated 3 years ago
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  Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
  ☆47Updated 2 years ago
• finnlindgren / heatoncomparison
  Code for Heaton et al (in JABES, 2018)
  ☆29Updated 5 years ago
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  SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
  ☆20Updated 2 years ago
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  A Bayesian spatio-temporal interaction model for epidemiology.
  ☆25Updated 4 years ago
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  ☆16Updated 3 years ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• juangamella / causal-chamber
  Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…
  ☆20Updated this week
• corneliussenf / phenoBayes
  Bayesian hierarchical models for estimating spatial and temporal patterns in vegetation phenology from Landsat time series
  ☆15Updated 7 years ago
• leap-stc / LEAPCourse-Climate-Pred-Challenges
  A project-based learning course where teams of climate science and data science students collaborate to create machine learning predictiv…
  ☆34Updated 11 months ago
• bgroenks96 / generative-downscaling
  Research and experiments for downscaling climate/weather data via generative learning
  ☆32Updated 2 years ago
• pysal / spvcm
  multilevel spatially-correlated variance components models
  ☆16Updated 2 months ago