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Name: David
Type: User
Name: David
Type: User
Repository of KDD Cup, 2018.
Singular Spectrum Analysis methods implementation in Python
El nino forecast based on a few machine learning methods
Ensemble Kalman Filter MATLAB code for 1D Heat Conduction
MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19
use CNN-ResNet model to predict ENSO
Two kinds of full convolution neural network models based on multi-scale feature fusion for cloud area detection of remote sensing image.
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
Deep Learning Predicts ENSO
CNN for climate forecast
Improving the forecasting accuracy of ENSO through deep learning
Probabilistic time series modeling in Python
Simple one-dimensional examples of various hydrodynamics techniques
use SLAM (optimization based approach) to solve Data Assimilation for Burgers model
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.
This is the repository for the l1_ls, a simple Matlab solver for l1-regularized least squares problems.
Experiments in climatological time series analysis using deep learning
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Singular Spectrum Analysis for time series forecasting in Python
The Simple Dynamical Core Lab is a personal project to explore some numerical algorithms involved in primitive equations models of atmospheric dynamics in a simplified setting
MATLAB codes for "Computational Uncertainty Quantification for Inverse Problems," by Johnathan M. Bardsley
Code used in the paper "Variational particle smoothers and their localization", M. Morzfeld, D. Hodyss and J. Poterjoy, Quarterly Journal of the Royal Meteorological Society, 144, 806-825 (2018).
An implementation of zoneout regularizer on LSTM-RNN by Tensorflow
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.