A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Charlie Munger's thought

查理·芒格 文集

Materials for workshops on text mining, machine learning, and data visualization

📚 经典技术书籍 PDF 文件，持续更新...

Forecasting Regional September SIE with Complex Networks and Gaussian Process Regression

Educational tools for getting to grips with statistics and ML

Preliminary results of producing spatial forecasts of sea ice concentration using multi-task GPs

Alaska community precipitation visualization

Determine Annual Freeze-Up / Break-Up dates of Sea Ice using NSIDC-0051 Daily Data

Tutorials on remote sensing

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

基于tensorflow的ner模型，分别采用了estiamator与keras两种框架实现，特点是在estimator中增加了Mlflow工具实现调参的自动化与可视化

学无止境，个人成长与学习方法文集

Your new Mentor for Data Science E-Learning.

Demo repo + notebook based off the Spark + AI Summit Wildfires

AI-Assisted-Imagery-Analysis - the project was funded by Microsoft AI for Earth and Global Wildlife Conservation. Project output: https://ai4earth-wildlife-web.surge.sh/

🌍 A curated list of APIs, open data and ML/AI projects on climate change

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

"I... a universe of atoms, an atom in the universe."― Richard P. Feynman

👔 💼 Build fast 🚀 and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

Script to download data from MERRA-2 database based on lat/lon coordinates

2018~2019学年，第一学期，课程汇总

Code release for "Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast"

Machine learning for transportation data imputation and prediction.

Experiment codes for the paper '2D Convolutional Neural Markov Models for Spatiotemporal Sequence Forecasting'

Spatiotemporal Attention Networks for Wind Power Forecasting

Apply Statistical Post-Processing to Improve Sea Ice Predictions