Pinned Repositories
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.
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).
DavidWidemann's Repositories
DavidWidemann/Data-Assimilation-EnKF-
Ensemble Kalman Filter MATLAB code for 1D Heat Conduction
DavidWidemann/DataAssimilation
DavidWidemann/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).
DavidWidemann/air-quality-prediction
Repository of KDD Cup, 2018.
DavidWidemann/chaos
Singular Spectrum Analysis methods implementation in Python
DavidWidemann/climatelearn
El nino forecast based on a few machine learning methods
DavidWidemann/Data_Assimilation
MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19
DavidWidemann/DEEP-LEARNING-PREDICTS-EL-NINO-SOUTHERN-OSCILLATION
use CNN-ResNet model to predict ENSO
DavidWidemann/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.
DavidWidemann/DINCAE
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
DavidWidemann/DL4ENSO
Deep Learning Predicts ENSO
DavidWidemann/DL_ENSO
CNN for climate forecast
DavidWidemann/enso-forcasting
Improving the forecasting accuracy of ENSO through deep learning
DavidWidemann/gluon-ts
Probabilistic time series modeling in Python
DavidWidemann/hydro_examples
Simple one-dimensional examples of various hydrodynamics techniques
DavidWidemann/IndepdentStudy_SLAM
use SLAM (optimization based approach) to solve Data Assimilation for Burgers model
DavidWidemann/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.
DavidWidemann/l1_ls
This is the repository for the l1_ls, a simple Matlab solver for l1-regularized least squares problems.
DavidWidemann/lstm-climatological-time-series
Experiments in climatological time series analysis using deep learning
DavidWidemann/mogp-emulator
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
DavidWidemann/MultistepNNs
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
DavidWidemann/precipitation-prediction-convLSTM-keras
Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest
DavidWidemann/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
DavidWidemann/pySSA
Singular Spectrum Analysis for time series forecasting in Python
DavidWidemann/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
DavidWidemann/SIAMBookCodes
MATLAB codes for "Computational Uncertainty Quantification for Inverse Problems," by Johnathan M. Bardsley
DavidWidemann/Toy_DataAssimilation
DavidWidemann/zoneout-tensorflow
An implementation of zoneout regularizer on LSTM-RNN by Tensorflow