Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-Foundation-Models-for-Weather-and-Climate
A comprehesive survey about foundation models for weather and cliamte data understanding.
https://github.com/shengchaochen82/Awesome-Foundation-Models-for-Weather-and-Climate
Last synced: 1 day ago
JSON representation
-
Large Foundation Models for Weather and Climate
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - deepmind/graphcast) |
- [\[paper\
- [\[paper\
- \[paper\
- \[paper\ - MAE)|
- \[paper\
- \[paper\ - Weather) |
- \[paper\
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - 7b) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
- \[paper\ - Weather) |
-
Task-Specific Models for Weather and Climate
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - GTC) |
- \[Paper\
- \[Paper\
- \[Paper\ - STDGN) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - lstm) |
- \[Paper\
- \[Paper\
- \[Paper\ - lam) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[paper\
- \[paper\
- \[paper\ - pytorch) |
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\ - temporal-weather-forecasting) |
- \[paper\ - tt-lstm) |
- \[paper\
- \[paper\
- \[paper\
- \[paper\ - x/SwinLSTM) |
- \[paper\
- \[Paper\ - rnn-gan) |
- \[paper\ - Transformer) |
- \[paper\
- \[paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - PyTorch) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - gan) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - B04/Producing-realistic-climate-data-with-GANs) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
- \[paper\
-
Application
- \[Paper\
- \[Paper\
- \[Paper\ - abhay/pytorch-vit) |
- \[Paper\ - Weather) |
- \[Paper\
- \[Paper\ - AI-Lab/televit) |
- \[Paper\
- \[Paper\
- \[Paper\ - pytorch) |
- \[Paper\
- \[Paper\
- \[Paper\ - STL-Lab/dyffusion) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - Nowcasting) |
- \[Paper\ - nets) |
- \[Paper\ - UNet) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - MultimediaPlus/Rainformer) |
- \[Paper\ - pytorch) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
-
Dataset
- \[Paper\ - 5K?utm_source=catalyzex.com) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - data/WeatherBench) |
- \[Paper\ - research/weatherbench2) |
- \[Paper\ - grover/climate-learn) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - lab/digital-typhoon) |
- \[Paper\ - model-intercomparison-suite) |
- \[Paper\
- \[Paper\
- \[Paper\ - detect) |
- \[Paper\ - kaist/komet-benchmark-dataset) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\ - fever-dataset) |
- \[Paper\
- \[Paper\
- \[Paper\
- \[Paper\
-
Star History
- ![Star History Chart - history.com/#shengchaochen82/Awesome-Foundation-Models-for-Weather-and-Climate&Date)