laxmandahal Goto Github PK

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

ee227c.github.io

EE227C (Spring 2018) Course page

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.github.io

Academic personal website

machine-learning-projects

Learning machine learning.

nlp-recipes

Natural Language Processing Best Practices & Examples

parameter-estimation-uncertainty

Quantifying the effect of model misspecification in seismic collapse risk assessment

pelicun

Probabilistic Estimation of Losses, Injuries, and Community resilience Under Natural disasters

py-glm

Generalized Linear Models in Sklearn Style

pyabc

distributed, likelihood-free inference

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

r2d-documentation

simcenterbootcamp2020

sta-663-2020

tsa-notebooks

Jupyter notebooks on time series econometrics topics.

woodframebuildingtool

End-to-end python based tool of developing wood frame building finite element models in OpenSees