davidwidemann Goto Github PK

air-quality-prediction

Repository of KDD Cup, 2018.

chaos

Singular Spectrum Analysis methods implementation in Python

climatelearn

El nino forecast based on a few machine learning methods

data-assimilation-enkf-

Ensemble Kalman Filter MATLAB code for 1D Heat Conduction

data_assimilation

MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19

dataassimilation

deep-learning-predicts-el-nino-southern-oscillation

use CNN-ResNet model to predict ENSO

deeplearning-for-cloud-detection

Two kinds of full convolution neural network models based on multi-scale feature fusion for cloud area detection of remote sensing image.

dincae

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

dl4enso

Deep Learning Predicts ENSO

dl_enso

CNN for climate forecast

enso-forcasting

Improving the forecasting accuracy of ENSO through deep learning

gluon-ts

Probabilistic time series modeling in Python

hydro_examples

Simple one-dimensional examples of various hydrodynamics techniques

indepdentstudy_slam

use SLAM (optimization based approach) to solve Data Assimilation for Burgers model

irtools

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.

l1_ls

This is the repository for the l1_ls, a simple Matlab solver for l1-regularized least squares problems.

lstm-climatological-time-series

Experiments in climatological time series analysis using deep learning

mogp-emulator

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

multistepnns

Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems

precipitation-prediction-convlstm-keras

Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

pyssa

Singular Spectrum Analysis for time series forecasting in Python

sdycore_lab

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

siambookcodes

MATLAB codes for "Computational Uncertainty Quantification for Inverse Problems," by Johnathan M. Bardsley

toy_dataassimilation

varps

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).

zoneout-tensorflow

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow