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Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields
Implementation of different Deep Learning algorithms to solve the problem of cloud classification, using images taken from the ground.
A Satellite Time Series Dataset for Crop Type Identification
The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
PyTorch implementation of popular datasets and models in remote sensing
Fuzzy Logic and Fuzzy Inference for Python 3
Raster-based Spatial Analytics for Python
PyTorch implementation of paper: Generating the Cloud Motion Winds Field from Satellite Cloud Imagery Using Deep Learning Approach (IGARSS2021).
Repo for the CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds paper
⛈🌦🌧Clouds classification analysis from satellite images based on Kaggle Competition. Paper - Classification and understanding of cloud structures via satellite images with EfficientUNet
Pytorch implementation of the Double-Step Framework to perform wildfires severity estimation from Sentinel-2 satellite images
A benchmark for the next generation of data-driven global weather models.
WeatherFusionNet - our solution to the NeurIPS 2022 Weather4cast competition
Many industries have the need to identify current and past weather conditions. The data helps them plan, organize, and/or optimize their operations. For example, farmers might look at the current w…
这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。
提供对MICAPS文件, 卫星云图, 天气雷达等数据的读写, 并访问CIMISS和MICAPS CASSANDRA数据库文件等.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.