Discover tadamcz/ai-timelines-priors Open Source project

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Created almost 4 years ago
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tadamcz

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The models used in the Open Philanthropy report "Semi-informative priors over AI timelines", and a companion web interface.

metalogistic

The metalogistic (or metalog) distribution is a flexible probability distribution that can be used to model data without traditional parameters.

Python

make-distribution

Create probability distributions from percentiles (points on a CDF).

JavaScript

value-of-information

Estimate the value of information (VOI) of receiving a signal in a simplified model.

Python

jekyll-markdown-responsive-image

Generate responsive images in Jekyll from pure markdown, without any Liquid tags. Uses jekyll_picture_tag

Ruby

make_distribution_r_client

R client for the MakeDistribution API

karasonnet

Generate Karabiner-Elements configuration using Jsonnet

Jsonnet

copula-wrapper

Specify a joint probability distribution from arbitrary marginal distributions and pairwise rank correlations. Wrapper around statsmodels.

Python

rvtools

My best tools for conveniently working with SciPy probability distributions

Python

bayes-continuous

Do a Bayesian update by integration, for continuously distributed prior and likelihood.

Python

make_distribution_python_client

Python client for the MakeDistribution API

Python

intentions-page-open-source-2022-03-15

Python

bayes-webapp

Do a Bayesian update with continuously distributed prior and likelihood

HTML

intentions-page

An opinionated task list designed to steer you towards intentions that feel alive and relevant, instead of long lists of old tasks.

Python

JGaltNewsNetwork

Python

xbar-plugins

My plugins for xbarapp.com

Python

flask-executor-minimal-example

Python

tadamcz/ai-timelines-priors

tadamcz

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