Alternatives and similar repositories for poold

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

• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• ronikobrosly / scipy_2023_causal_inference_tutorial
  Materials for a proposed Causal Inference Tutorial session at SciPy 2023
  ☆12Updated 2 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆20Updated 2 years ago
• 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
  ☆49Updated 3 weeks ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆35Updated 10 months ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆23Updated last year
• leobix / hurricast
  ☆22Updated 9 months ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• WentaoZhan1998 / geospaNN
  ☆14Updated 4 months ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆55Updated 7 months ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆59Updated last year
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• google / bayesnf
  Bayesian Neural Field models for prediction in large-scale spatiotemporal datasets
  ☆138Updated last year
• hamrel-cxu / MultiDimSPCI
  Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)
  ☆18Updated last year
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 3 months ago
• pmorenoz / ModularGP
  Modular Gaussian Processes
  ☆15Updated 3 years ago
• tobifinn / ensemble_transformer
  Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth …
  ☆14Updated 2 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• mfinzi / neural-ivp
  ☆11Updated 2 years ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆48Updated 4 years ago
• plugyawn / gp-zoo
  A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…
  ☆14Updated 2 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• raybellwaves / xskillscore-tutorial
  ☆10Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• Stream-AD / ExGAN
  Adversarial Generation of Extreme Samples
  ☆77Updated last year
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago