Alternatives and similar repositories for bayesnf:

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

• alan-turing-institute / deepsensor
  A Python package for tackling diverse environmental prediction tasks with NPs.
  ☆103Updated last week
• leap-stc / ClimSim
  An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
  ☆147Updated 2 weeks 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
  ☆48Updated this week
• aspiaspace / earthPT
  A time series foundation model for Earth Observation
  ☆61Updated 11 months ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆187Updated 9 months ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆45Updated 3 years ago
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆81Updated 2 months ago
• MarcCoru / locationencoder
  ☆82Updated 6 months ago
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆49Updated 2 weeks ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆58Updated 10 months ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆74Updated last year
• vincentblot28 / conformalized_gp
  ☆46Updated last month
• francois-rozet / sda
  Official implementation of Score-based Data Assimilation
  ☆47Updated last year
• INRIA / geoarches
  A package to train machine learning models on geospatial data, mainly for weather and climate. Used to run ArchesWeather and ArchesWeathe…
  ☆27Updated this week
• openclimatefix / graph_weather
  PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.0…
  ☆218Updated last week
• Rose-STL-Lab / spherical-dyffusion
  [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion
  ☆24Updated 2 months ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆29Updated 3 months ago
• Rose-STL-Lab / dyffusion
  [NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
  ☆182Updated 4 months ago
• jax-ml / bayeux
  State of the art inference for your bayesian models.
  ☆199Updated 2 months ago
• NVIDIA / modulus-makani
  Massively parallel training of machine-learning based weather and climate models
  ☆244Updated last month
• seai-lab / TorchSpatial
  TorchSpatial offers a comprehensive framework and benchmark suite designed to advance Spatial Representation Learning (SRL).
  ☆124Updated last month
• tung-nd / stormer
  ☆51Updated 3 months ago
• TorchSpatiotemporal / tsl
  tsl: a PyTorch library for processing spatiotemporal data.
  ☆299Updated this week
• alan-turing-institute / python-project-template
  ☆16Updated this week
• williamgilpin / dysts
  Hundreds of strange attractors
  ☆436Updated last week
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆94Updated last month
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆107Updated last year