Bayesian Optimization and Design of Experiments
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Updated
Sep 22, 2024 - Python
Bayesian Optimization and Design of Experiments
Python package for generating experimental designs tailored for uncertainty quantification, featuring parallel implementations
A virtual whiteboard so I don't forget the ideas that come to me
For running psychology and neuroscience experiments
Experimental design and (multi-objective) bayesian optimization.
Create behavioral experiments in a browser using JavaScript
R package implementing subsampling methods to find informative samples from big data
Este repositorio explora el impacto de tratamientos en sistemas de redes, abordando la inferencia causal bajo la interferencia de la red.
alpha60 sample data: csv and json files
Tools for Data Analysis in Experimental Agriculture
PLAID (Plate Layouts using Artificial Intelligence Design) is a flexible constraint-programming model representing the Plate Layout Design problem.
Stochastic System Identification Toolkit (SSIT) to model, analyze and design single-cell experiments
ParamHelpers Next Generation
A framework to configure your experiments away from your implementation
A python package that takes XCT images of porous materials and generates representative lab-on-chip micromodels
A/B Testing from Scratch
An R Package for Ultra-fast Rerandomization Using a JAX Backend
This repo contains all projects from my second data class at UPenn, designed to demonstrate marked improvements and a broader grasp of key topics through more complex problem sets.
This personal repository showcases my code and statistical analysis projects, providing potential employers and peers with an opportunity to review my work and technical skills.
Experimental design and Bayesian optimization library in Python/PyTorch
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