experimental-design 开源项目推荐（471 个）

psychopy /psychopy

用于进行心理学和神经科学实验

rbgirshick /yacs

YACS -- Yet Another Configuration System

jspsych /jsPsych

使用JavaScript在浏览器中创建行为实验

EmuKit /emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

emdgroup /baybe

Bayesian Optimization and Design of Experiments

CausalInferenceLab /Causal-Inference-with-Python

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

experimental-design /bofire

Experimental design and (multi-objective) bayesian optimization.

rawls238 /PlanOut.js

A JavaScript port of Facebook's PlanOut Experimentation Framework

chrstnvi /zine-moskovskaya-excursia

Experimental zine and interactive case based on Pamela Travers’ Moscow Excursion (1934).

bvieth /powsimR

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.

the-matter-lab /olympus

Olympus: a benchmarking framework for noisy optimization and experiment planning

google /trimmed_match

This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

chritoth /active-bayesian-causal-inference

Active Bayesian Causal Inference (Neurips'22)

VlachosGroup /nextorch

Experimental design and Bayesian optimization library in Python/PyTorch

kumarshreshtha /protuna

Optimization framework for AI-guided protein engineering

debbiemarkslab /variational-synthesis

Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AISTATS, 2022).

MdRasheduz-zaman /biostatistics

该项目在 GitHub 上没有填写描述

phrb /ExperimentalDesign.jl

Design of Experiments in Julia

basf /mopti

Lightweight tools for experimental design and multi-objective optimization.

robinthibaut /skbel

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.