Alternatives and similar repositories for easyuq:

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

• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆45Updated 3 years ago
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆52Updated last year
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆82Updated 3 months ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆29Updated 4 months ago
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• schmidtjonathan / Climate2Weather
  This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…
  ☆19Updated last month
• jejjohnson / uncertain_gps
  Exploring how to to deal with uncertain inputs with gaussian process regression models.
  ☆27Updated 3 years ago
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆20Updated 8 months ago
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆50Updated last week
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆17Updated 3 weeks ago
• GaussianProcessesCambridge / meetup-resources
  Collection of resources from each meetup event
  ☆13Updated 4 years ago
• StevePny / DataAssimBench
  Benchmarking tools for applying AI/ML to data assimilation
  ☆14Updated this week
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆48Updated last year
• p-hss / consistency-climate-downscaling
  ☆14Updated last week
• INRIA / geoarches
  A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…
  ☆31Updated 2 weeks ago
• OpheliaMiralles / pykelihood
  package useful for likelihood-based inference
  ☆13Updated 3 weeks ago
• leap-stc / ChaosBench
  ☆31Updated last week
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆30Updated 8 months ago
• vincentblot28 / conformalized_gp
  ☆46Updated 2 months ago
• xwshen51 / engression
  Software implementations of engression by Shen and Meinshausen (2023)
  ☆23Updated 3 months ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆41Updated 7 months ago
• duncanwp / ClimateBench
  ☆89Updated 11 months ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆41Updated 2 weeks ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆49Updated last month
• EUPP-benchmark / climetlab-eumetnet-postprocessing-benchmark
  A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.
  ☆31Updated 5 months ago
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated last month
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆62Updated 2 months ago
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆28Updated 2 years ago
• senclimate / XRO
  XRO: Extended nonlinear Recharge Oscillator model
  ☆14Updated 2 weeks ago