There are 6 repositories under experimental-design topic.
YACS -- Yet Another Configuration System
Causal Inference for The Brave and True ์ฑ ์ ํ๊ตญ์ด ๋ฒ์ญ ์๋ฃ์ ๋๋ค.
A JavaScript port of Facebook's PlanOut Experimentation Framework
Experimental design and (multi-objective) bayesian optimization.
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
Olympus: a benchmarking framework for noisy optimization and experiment planning
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
Experimental design and Bayesian optimization library in Python/PyTorch
Active Bayesian Causal Inference (Neurips'22)
An R Package and Shiny App for generating matched stimuli for factiorial-design experiments.
Repository collecting resources and best practices to improve experimental rigour in deep learning research.
Design of Experiments in Julia
Causal Inference Using Quasi-Experimental Methods
A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.
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This is my Official and newest website portfolio with the source code if you want to try my design
๐ซ Computer-aided DNA assembly validation and identification from restriction digests.
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Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).
Golem: an algorithm for robust experiment and process optimization
Automancer is a software application that enables researchers to design, automate, and manage their experiments.
AB Testing
A statistical simulator for rational scRNA-seq experimental design