Alternatives and similar repositories for mrtl

Users that are interested in mrtl are comparing it to the libraries listed below

• runesen / spatio_temporal_causality
  Towards causal inference for spatio-temporal data: conflict and forest loss in Colombia
  ☆24Updated 3 years ago
• WentaoZhan1998 / geospaNN
  ☆16Updated last week
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• 0xshipthecode / ndw-climate
  ☆15Updated 11 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆23Updated last year
• pysal / spvcm
  multilevel spatially-correlated variance components models
  ☆18Updated last year
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 11 months ago
• sustainability-lab / polire
  Spatial Interpolation in Python
  ☆13Updated 2 years ago
• LEAF-BoiseState / janus
  An object-oriented Agent Based Model for land use/land cover change and multisector dynamics
  ☆18Updated last year
• konstantinklemmer / pe-gnn
  PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"
  ☆60Updated last year
• blutjens / awesome-MIT-ai-for-climate-change
  🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others
  ☆53Updated 3 months ago
• andrewzm / FRK
  Fixed Rank Kriging with big data
  ☆73Updated 3 months ago
• snap-stanford / covid-mobility-tool
  ☆11Updated 4 years ago
• rothenhaeusler / anchor-regression
  ☆11Updated 6 years ago
• WenxinZhou / conquer
  Convolution Smoothed Quantile Regression
  ☆18Updated last year
• andrewzm / MVST
  An R-Software package for multi-variate spatio-temporal modelling
  ☆11Updated 3 years ago
• andrewzm / deepIDE
  Deep IDE Models for Spatio-Temporal Forecasting
  ☆23Updated 5 years ago
• corneliussenf / phenoBayes
  Bayesian hierarchical models for estimating spatial and temporal patterns in vegetation phenology from Landsat time series
  ☆15Updated 8 years ago
• NSAPH-Projects / space
  SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
  ☆17Updated 5 months ago
• gouthamnaveen / CRPS
  A package to compute the Continuous Ranked Probability Score (crps) (Matheson and Winkler, 1976; Hersbach, 2000), the fair-crps (fcrps) (…
  ☆21Updated 3 years ago
• MathBilibili / Bayesian-geographically-weighted-regression
  The code to conduct Bayesian geographically weighted regression
  ☆11Updated 3 years ago
• mhuiying / scp
  R Package for Spatial Conformal Prediction
  ☆11Updated 3 years ago
• daleroberts / hdmedians
  High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
  ☆77Updated last year
• RBTV1 / mSWE-GNN
  Code repository for paper "Multi-scale hydraulic graph neural networks for flood modelling"
  ☆17Updated last month
• nwrat / RCQSB2022_public
  This repo hosts data and scripts to replicate Ratledge et al 2022 in Nature
  ☆23Updated 2 years ago
• sshonosuke / SCR
  Spatially Clustered Regression
  ☆11Updated 3 years ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated last month
• konstantinklemmer / sxl
  SXL: Spatially explicit learning of geographic processes with auxiliary tasks
  ☆15Updated 4 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆59Updated last week
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year