BairuChen2019
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An opinionated list of awesome Python frameworks, libraries, software and resources.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A curated list of awesome Machine Learning frameworks, libraries and software.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse
An open source library and framework for deep learning on satellite and aerial imagery.
Train a deep learning net with OpenStreetMap features and satellite imagery.
🌎 Simple and fast watershed delineation in python.
Use Mapbox GL JS to visualize data in a Python Jupyter notebook
Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymyr Mnih's methods
Code for the book Open source geoprocessing with Python
基于微博的数据挖掘与社交舆情分析
Source codes in Python for book 'Python in Open Source GIS'.
HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
A part of HyRiver software stack for accessing hydrology data through web services
This is the STORM (Synthetic Tropical cyclOne geneRation Model) Model. Input for this model is generated via the STORM data preprocessing scripts, see respective repository. IMPORTANT: Please be aw…
Python library for managing input and output files for the ADCIRC model
Visualization of ADCIRC Model Data in Vector Formats
Test suite derived from examples on ADCIRC.org
These scripts are used to calculate the wind speed return periods from the STORM dataset. IMPORTANT: Please be aware that these scripts are not maintained and NO support is provided!!