earthnet2021 / earthnet-models-pytorch
EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.
☆33Updated 6 months ago
Alternatives and similar repositories for earthnet-models-pytorch:
Users that are interested in earthnet-models-pytorch are comparing it to the libraries listed below
- Code for Benson et. al., CVPR (2024) - Multi-modal learning for geospatial vegetation forecasting☆49Updated 10 months ago
- ☆8Updated 2 years ago
- Teleconnection-driven vision transformers for improved long-term forecasting☆29Updated last year
- Location-aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting☆14Updated 3 weeks ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆20Updated 4 years ago
- ☆25Updated 8 months ago
- A Python package for Earth forecasting transformer☆84Updated 9 months ago
- AI Challenges based on the SEVIR weather dataset☆42Updated 4 years ago
- This is the repo for global precipitation nowcasting using IMERG dataset.☆14Updated last year
- Code repository for "Toward Global Estimation of Ground-Level NO2 Pollution With Deep Learning and Remote Sensing", IEEE TGSRS, 2022☆22Updated 9 months ago
- Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"☆82Updated 4 years ago
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆16Updated 2 weeks ago
- The code of "MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data" accepted by AAAI2023.☆15Updated last year
- Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"☆34Updated 2 years ago
- Models for the EarthNet2021 challenge.☆44Updated 7 months ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆33Updated 4 years ago
- A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger f…☆50Updated 3 months ago
- IGARSS 2024 Tutorial "A Practical Session on Deep Learning Advances for Monitoring and forecasting Natural Hazards"☆26Updated 9 months ago
- Pytorch implementation of paper "REMNet: Recurrent Evolution Memory-aware Network for Accurate Long-term Weather Radar Echo Extrapolation…☆11Updated last year
- a GAN for precipitation downscaling☆41Updated 3 years ago
- Deep Learning Models for Wildfire Danger Forecasting☆71Updated 2 years ago
- ☆24Updated last year
- A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.☆31Updated 2 years ago
- Code for working with the SEVIR weather dataset☆32Updated 3 years ago
- ☆41Updated last year
- Starter Kit for the NeurIPS 2023 Weather4cast competition☆16Updated last year
- Generalizing satellite image time series classifiers with thermal time☆18Updated 2 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ☆22Updated last year
- SLAMS: Score-based Latent Assimilation in Multimodal Setting☆37Updated 11 months ago