Alternatives and similar repositories for CRPS:

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

• salvaRC / El-GNNino
  Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"
  ☆35Updated 3 years ago
• EnergyWeatherAI / GenerativeNowcasting
  Code repository for "Extending intraday solar forecast with deep generative models".
  ☆16Updated 9 months ago
• p-hss / consistency-climate-downscaling
  ☆14Updated last week
• tobifinn / ensemble_transformer
  Official PyTorch implementation of "Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth …
  ☆13Updated 2 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆21Updated 6 months ago
• holmdk / IrradianceNet
  ☆12Updated 2 years ago
• salvaRC / Graphino
  Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".
  ☆33Updated 2 years ago
• tcapelle / cloud_diffusion
  Diffusion on the Clouds: Short-term solar energy forecasting with Diffusion Models
  ☆42Updated last year
• robbiewatt1 / ClimateDiffuse
  Diffusion for climate downscaling
  ☆52Updated 8 months ago
• paulo-o / forecast_rodeo
  ☆38Updated 5 years ago
• AILAB-CEFET-RJ / stconvs2s
  Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevi…
  ☆66Updated 3 years ago
• openclimatefix / diffusion_weather
  Testing out Diffusion-based models for weather and PV forecasting
  ☆14Updated 3 weeks ago
• ZiluM / Deep-learning-for-multi-year-ENSO-Reproduction
  Deep learning for multi-year ENSO forecasts Reproduction
  ☆48Updated 7 months ago
• microsoft / subseasonal_data
  Data access package for the SubseasonalClimateUSA dataset
  ☆29Updated 4 months ago
• bugsuse / MIM_PyTorch
  PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
  ☆14Updated 3 years ago
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 3 months ago
• simonpf / quantnn
  Quantile regression neural networks
  ☆18Updated last year
• leap-stc / ChaosBench
  ☆31Updated last week
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆50Updated last week
• IBM / spatial-lstm
  Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"
  ☆30Updated 2 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated last year
• sftekin / spatio-temporal-weather-forecasting
  Spatio-temporal Numerical Weather Forecasting Pipeline. It has the code for the introduced weather model architecture
  ☆51Updated last year
• georgemilosh / Climate-Learning
  How to predict extreme events in climate using rare event algorithms and modern tools of machine learning
  ☆20Updated last month
• OpheliaMiralles / wind-downscaling-gan
  ☆31Updated 2 years ago
• Abdulmajid-Murad / deep_probabilistic_forecast
  PyTorch implementation of probabilistic deep forecast applied to air quality.
  ☆25Updated 3 years ago
• Kunqian123 / DeepFloodPrediction
  ☆15Updated 5 years ago
• RichardFindlay / day-ahead-probablistic-forecasting-with-quantile-regression
  Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneou…
  ☆33Updated 2 years ago
• taohan10200 / WEATHER-5K
  Large-scale Time-series Dataset Towards Next-Generation Global Station Weather Forecasting Benchmark
  ☆62Updated 5 months ago
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆49Updated last month
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆46Updated last year