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For associated data that can be mashed up with ours. This is data like Census demographics, CDC flu rates, and hospital beds
Set of tools developed to extract data from the CAISO website and OASIS API
Code for neural network parameterization project
吴恩达老师的机器学习课程个人笔记
learn in datamining
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains three packages that assemble codes and scripts to downscale coarse-resolution reanalysis fields to finer resolutions, accounting for subgrid-scale variability and/or topographic effects.
Code and examples on directly calling Tensorflow / Pytorch / Keras ML models from Fortran.
Use Fourier transform to learn operators in differential equations.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Deep Learning for humans
Using Tensorflow/Keras to understand neural networks
Repository for the CTL-sponsered workshop "Git for course deployment and websites"
Meta-learning for climate sciences
Python library to train neural networks with a strong focus on hydrological applications.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Latex code for making neural networks diagrams
Python client libraries for ISO and other power grid data sources.
PyTorch implementations of Generative Adversarial Networks.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine, in press, 2020.
An Open Source Machine Learning Framework for Everyone
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Visual HEIFLOW (VHF) is a comprehensive graphical modeling environment for integrated hydrological modeling.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
A few exercises for use at events.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.