Pinned Repositories
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
BIRDM_paper
BoARIO
Python implementation of ARIO model
CHAZ
Columbia tropical cyclone HAZard model (CHAZ)
DaskCourse
Introduction to Dask
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
FloodRiskManagement_model_Rhine
Simulation model to assess the risk reduction of (1) dike heightening, (2) making room for the River and (3) discharge distribution strategies along the Lower Rhine River in the presence of hydrological and dike stability uncertainties.
geopandas-tutorial
Tutorial on geospatial data manipulation with Python
GSA_dependent_variables
Python implementation of the procedure and test cases proposed in: S. Kucherenko, S. Tarantola, P. Annoni. Estimation of global sensitivity indices for models with dependent variables Comput. Phys. Commun., 183 (4) (2012), pp. 937-946.
optimal_risk_pools
This repository contains the code to reproduce the analysis in : Ciullo et al. Increasing countries’ financial resilience through global catastrophe risk pooling
aleeciu's Repositories
aleeciu/GSA_dependent_variables
Python implementation of the procedure and test cases proposed in: S. Kucherenko, S. Tarantola, P. Annoni. Estimation of global sensitivity indices for models with dependent variables Comput. Phys. Commun., 183 (4) (2012), pp. 937-946.
aleeciu/FloodRiskManagement_model_Rhine
Simulation model to assess the risk reduction of (1) dike heightening, (2) making room for the River and (3) discharge distribution strategies along the Lower Rhine River in the presence of hydrological and dike stability uncertainties.
aleeciu/optimal_risk_pools
This repository contains the code to reproduce the analysis in : Ciullo et al. Increasing countries’ financial resilience through global catastrophe risk pooling
aleeciu/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
aleeciu/BIRDM_paper
aleeciu/BoARIO
Python implementation of ARIO model
aleeciu/CHAZ
Columbia tropical cyclone HAZard model (CHAZ)
aleeciu/DaskCourse
Introduction to Dask
aleeciu/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
aleeciu/geopandas-tutorial
Tutorial on geospatial data manipulation with Python
aleeciu/ml-road
Machine Learning Resources, Practice and Research
aleeciu/Parallel-Programming-in-Python
Parallel Programming in Python Course
aleeciu/PRACE-advanced-dl
aleeciu/PRACE-intro-dl
aleeciu/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
aleeciu/probabilisticprogrammingprimer
aleeciu/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
aleeciu/RDM-PoRiver-WRR-manuscript-
This folder contains the data used in the analysis presented in the manuscript: A Robust Decision Making approach to the identification of flood protection measures under deep uncertainty exemplified on the Po River, Italy.
aleeciu/Richter_Predictor_Modeling_Earthquake_Damage