本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

一个浙江大学本科生的计算机、地理信息科学知识库 包含课程资料 学习笔记 大作业等（ 数据结构与算法、人工智能、地理空间数据库、计算机组成、计算机网络、图形学、编译原理等课程）

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

Official implementation of Earthformer

user defined colormaps in matplotlib.

Automatically Generated Notebook Slides

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in …

Spatial regression graph convolutional neural networks: Spatial regression analysis conducted in the manner of graph convolutional neural network. Two versions of SRGCNN model are provided in the i…

Deep learning for multi-year ENSO forecasts Reproduction

Convolutional Recurrent Neural Networks for Predicting Sea Ice Concentration in the Arctic

Contains data and resources that are useful for all chapters of RECCAP2-ocean