Pinned Repositories
Auto-WoodSDA
Auto-WoodSDA: A scalable end-to-end automation tool to perform probabilistic seismic risk and resilience analysis of new residential woodframe buildings
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Deep-Learning-Class
DGFraud
A Deep Graph-based Toolbox for Fraud Detection
double_machine_learning
IM_Study
In this study, we compared various alternative methods of evaluating the ground motion intensity measures (IM). Recognizing the advancements in statistical advances, the study also proposes new alternative approaches that leverage GAM model in addition to the entropy-based concepts.
machine-learning-projects
Learning machine learning.
Parameter-Estimation-Uncertainty
Quantifying the effect of model misspecification in seismic collapse risk assessment
pyFragility
WoodFrameBuildingTool
End-to-end python based tool of developing wood frame building finite element models in OpenSees
laxmandahal's Repositories
laxmandahal/WoodFrameBuildingTool
End-to-end python based tool of developing wood frame building finite element models in OpenSees
laxmandahal/Auto-WoodSDA
Auto-WoodSDA: A scalable end-to-end automation tool to perform probabilistic seismic risk and resilience analysis of new residential woodframe buildings
laxmandahal/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
laxmandahal/Deep-Learning-Class
laxmandahal/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
laxmandahal/double_machine_learning
laxmandahal/ee227c.github.io
EE227C (Spring 2018) Course page
laxmandahal/IM_Study
In this study, we compared various alternative methods of evaluating the ground motion intensity measures (IM). Recognizing the advancements in statistical advances, the study also proposes new alternative approaches that leverage GAM model in addition to the entropy-based concepts.
laxmandahal/laxmandahal.github.io
Academic personal website
laxmandahal/machine-learning-projects
Learning machine learning.
laxmandahal/Parameter-Estimation-Uncertainty
Quantifying the effect of model misspecification in seismic collapse risk assessment
laxmandahal/pyFragility
laxmandahal/nlp-recipes
Natural Language Processing Best Practices & Examples
laxmandahal/pelicun
Probabilistic Estimation of Losses, Injuries, and Community resilience Under Natural disasters
laxmandahal/py-glm
Generalized Linear Models in Sklearn Style
laxmandahal/pyABC
distributed, likelihood-free inference
laxmandahal/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
laxmandahal/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
laxmandahal/R2D-Documentation
laxmandahal/SimCenterBootcamp2020
laxmandahal/sta-663-2020
laxmandahal/tsa-notebooks
Jupyter notebooks on time series econometrics topics.