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
  ☆22Updated 3 years ago
• WentaoZhan1998 / geospaNN
  ☆12Updated last month
• rothenhaeusler / anchor-regression
  ☆11Updated 6 years ago
• aamgalan / spatial_autocorrelation
  ☆10Updated 3 years ago
• sshonosuke / SCR
  Spatially Clustered Regression
  ☆10Updated 2 years ago
• pysal / spvcm
  multilevel spatially-correlated variance components models
  ☆17Updated 11 months ago
• NSAPH-Projects / space
  SpaCE, the Spatial Confounding Environment, loads benchmark datasets for causal inference methods tackling spatial confounding
  ☆17Updated 8 months ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆23Updated 9 months ago
• konstantinklemmer / pe-gnn
  PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"
  ☆55Updated last year
• MathBilibili / Bayesian-geographically-weighted-regression
  The code to conduct Bayesian geographically weighted regression
  ☆11Updated 3 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• 0xshipthecode / ndw-climate
  ☆15Updated 11 years ago
• Ashkan-Soleymani98 / CORTH-Features-Causal-Feature-Selection-via-Orthogonal-Search
  ☆12Updated 2 years ago
• msangnier / qreg
  Data sparse and non-parametric quantile regression
  ☆10Updated 4 years ago
• mkln / meshed
  Meshed GP for Bayesian spatial big data regression
  ☆13Updated 2 months ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 4 years ago
• GeoDS / Region2vec
  ☆19Updated 4 months ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• snap-stanford / covid-mobility-tool
  ☆11Updated 4 years ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆47Updated 4 years ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• babaknaimi / elsa
  A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for bo…
  ☆14Updated last year
• ImperialCollegeLondon / csml-reading-group
  Computational statistics and machine learning reading group at Imperial College London (2019-2020)
  ☆24Updated 4 months ago
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 6 months ago
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆32Updated 2 years ago
• callmespring / CausalRL
  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
  ☆30Updated last year
• ihawryluk / GP_nowcasting
  GP nowcasting for Brazil Covid-19 mortality
  ☆9Updated 11 months ago
• daleroberts / hdmedians
  High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
  ☆77Updated last year
• andrewzm / deepIDE
  Deep IDE Models for Spatio-Temporal Forecasting
  ☆22Updated 5 years ago