JiangNguyen's repositories
altimeter_read
Read satellite altimetry data of Netcdf format
Bayesian_NN_Ensembles
AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
Data_Assimilation
MSc Research project (6 months). Data Assimilation using Deep Learning (AEs). Imperial College Machine Learning MSc 2018-19
discrete-continuous-bdl
Uncertainty Quantification of Disctete-Continuous Distribution with Bayesian Deep Learning in KDD 2018
effect-of-climate-on--agriculture
This repository contains all the data set and coding used in the manuscript Rattis et al submitted to NCC
FactSeg
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)
GSMaP
Python3 script of Reading GSMaP data.
Landsat-Classification-Using-Convolution-Neural-Network
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
Landsat-Classification-Using-Neural-Network
All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
malawi-flood-prediction
TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.
MARRMoT
Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 46 conceptual hydrologic models
ml_flood
Machine learning to predict floods
mosaiks-paper
Code and data to support our paper
ParallelSWAT
Parallel computing-based and Spatially stepwise calibration of SWAT with streamflow observaitons and Satellite-based ET
PM2.5-GNN
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
PSTCR
Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.
RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
SupReME
Super-Resolution of Multispectral Multiresolution Images from a Single Sensor
tshydro
R package that estimates water level time series from satellite altimetry data
ypea110-shuffled-complex-evolution
Shuffled Complex Evolution (SCE-UA) in MATLAB