Alternatives and similar repositories for rainnet

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

• MIT-AI-Accelerator / neurips-2020-sevir
  Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"
  ☆87Updated 5 years ago
• MPBA / TAASRAD19
  Code release to showcase potential usages of TAASRAD19 Dataset
  ☆46Updated 4 years ago
• hydrogo / rainymotion
  Python library for radar-based precipitation nowcasting based on optical flow techniques
  ☆190Updated 6 years ago
• MIT-AI-Accelerator / sevir_challenges
  AI Challenges based on the SEVIR weather dataset
  ☆45Updated 4 months ago
• raspstephan / nwp-downscale
  ☆40Updated 4 years ago
• tyui592 / awesome-precipitation-nowcasting
  A list of Precipitation Nowcasting papers and related resources.
  ☆173Updated 10 months ago
• MIT-AI-Accelerator / eie-sevir
  Code for working with the SEVIR weather dataset
  ☆39Updated 3 years ago
• jleinonen / downscaling-rnn-gan
  Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
  ☆73Updated 4 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆92Updated 2 years ago
• tcapelle / metnet_pytorch
  A MetNet implementation in Pytorch and fastai
  ☆31Updated 4 years ago
• FrontierDevelopmentLab / PyRain
  ☆40Updated 4 years ago
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆25Updated 2 years ago
• MeteoSwiss / c4dl-multi
  Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"
  ☆35Updated 2 years ago
• iarai / weather4cast
  Code accompanying our IARAI Weather4cast Challenge
  ☆51Updated 3 years ago
• ZiluM / Deep-learning-for-multi-year-ENSO-Reproduction
  Deep learning for multi-year ENSO forecasts Reproduction
  ☆55Updated last year
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆96Updated last year
• bugsuse / meteoai
  The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.
  ☆159Updated 5 years ago
• tpys / FuXi-S2S
  ☆34Updated 4 months ago
• slerch / ppnn
  post-processing experiments with neural networks
  ☆63Updated 3 years ago
• djgagne / hagelslag
  Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability …
  ☆71Updated last year
• hyungting / DGMR-pytorch
  An implementation of Deep Generative Model of Radars from DeepMind in PyTorch
  ☆45Updated 3 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆36Updated 2 years ago
• luochuyao / IDA_LSTM
  The Radar Echo Extrapolation Model
  ☆37Updated 4 years ago
• openclimatefix / skillful_nowcasting
  Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
  ☆271Updated last week
• ecmwf-lab / ml-training-course
  ☆21Updated last year
• lzhengchun / DSGAN
  a GAN for precipitation downscaling
  ☆42Updated 3 years ago
• microsoft / WeatherReal-Benchmark
  Evaluation pipelines and components to support the WeatherReal benchmark dataset for weather forecast verification.
  ☆38Updated 7 months ago
• tjvandal / deepsd
  DeepSD Super-resolution for Climate Downscaling in KDD 2017
  ☆96Updated 3 years ago
• ljharris23 / public-downscaling-cgan
  Clean, easier to use version of the downscaling cGAN
  ☆24Updated last year
• openradar / TINT
  TINT Is Not TITAN. Python code for tracking objects. Specifically storm cells.
  ☆90Updated last year