fixed menu issue

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aethrvmn 2024-11-10 02:36:00 +01:00
parent ff123fd07e
commit c58e9e253f
114 changed files with 5501 additions and 8 deletions

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---
title: "license"
bookHidden: true
weight: 1000
---
# Don't Be Evil License (DBEL) 1.0

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---
title: "misc projects"
title: "misc"
weight: 30
---
# misc projects

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---
the [nimphs](#) are a family of families of ml algorithms written in [nim](https://nim-lang.org), a low level systems language, with syntax similar to [python](https://python.org).
all of them use the [arraymancer](https://mratsim.github.io/Arraymancer/index.html) library, and all of them are in extreme pre-alpha, except for melite
all of them use the [arraymancer](https://mratsim.github.io/Arraymancer/index.html) library, and all of them are in extreme pre-alpha stage of development.
finally, all of them are licensed under a custom licence, the [dont be evil license](/license), which i wrote.
## nyrids
[nyrids](#) are nlp models:

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@ -22,7 +22,7 @@ there are many more distros that I have tried for a brief period, but in most ca
[here](https://git.sr.ht/~aethrvmn/nixconfig) you can find my current nixos files and [here](https://git.sr.ht/~aethrvmn/dotfiles) you can find my current dotfiles.
## version control
I have been using [github](https://github.com/aethrvmn) since 2017, but I am currently moving/have moved to [sourcehut](https://sr.ht/~aethrvmn) for data privacy.
I have been using [github](https://github.com/aethrvmn) since 2017, but I am currently moving/have moved to [sourcehut](https://sr.ht/~aethrvmn) for data privacy, as well as self-hosting my own [forgejo](https://forgejo.org) instance.
I do not consent to github's eula or privacy policy.

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weight=10
[[menu.after]]
name="the dont be evil licence"
url="/license"
name="@aethrvmn@sigmoid.social"
url="https://sigmoid.social/@aethrvmn"
weight=30
[[menu.after]]
name="t.me/aethrvmn"
url="https://t.me/aethrvmn"
weight=20
[[menu.after]]
name="mail"
url="mailto:aethrvmn@apotheke.earth"
weight=10
[params]

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<h3><u>contact</u></h3>

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{{ partial "docs/menu-filetree" . }}
{{ end }}
<div class="book-menu-bot">
{{ partial "docs/menu-hugo" .Site.Menus.after }}
<div style="bottom:0; position:fixed;">
{{ partial "docs/inject/menu-after" . }}
{{ partial "docs/menu-hugo" .Site.Menus.after }}
</div>
</nav>

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<!DOCTYPE html>
<html lang="en">
<head><script src="/livereload.js?mindelay=10&amp;v=2&amp;port=1313&amp;path=livereload" data-no-instant defer></script>
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<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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<a href="/">aethrvmn</a>
</h3>
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<!DOCTYPE html>
<html lang="en" dir="ltr">
<head>
<meta name="generator" content="Hugo 0.126.2"><script src="/livereload.js?mindelay=10&amp;v=2&amp;port=1313&amp;path=livereload" data-no-instant defer></script>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Vasilis Valatsos(Βασίλης Βαλατσός) # software engineer @ new odyssey # experience as a backend developer and data scientist
implemented postgresql databases and relevant apis. built data pipelines provided insights for decision-makers influenced policy making in the EU with data. helped a non-profit organization win prestigious awards focused on bringing reinforcement learning back in the mainstream, combining it with state-of-the-art natural language processing methods, such as large language models.
m.sc. in statistics and data science, university of turin, m-thesis: implemented ppo in a custom environment named pneuma">
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<meta property="og:title" content="home">
<meta property="og:description" content="Vasilis Valatsos(Βασίλης Βαλατσός) # software engineer @ new odyssey # experience as a backend developer and data scientist
implemented postgresql databases and relevant apis. built data pipelines provided insights for decision-makers influenced policy making in the EU with data. helped a non-profit organization win prestigious awards focused on bringing reinforcement learning back in the mainstream, combining it with state-of-the-art natural language processing methods, such as large language models.
m.sc. in statistics and data science, university of turin, m-thesis: implemented ppo in a custom environment named pneuma">
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<title>home | aethrvmn</title>
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<script defer src="/sw.min.6f6f90fcb8eb1c49ec389838e6b801d0de19430b8e516902f8d75c3c8bd98739.js" integrity="sha256-b2&#43;Q/LjrHEnsOJg45rgB0N4ZQwuOUWkC&#43;NdcPIvZhzk=" crossorigin="anonymous"></script>
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<h2 class="book-brand">
<a class="flex align-center" href="/"><img src="/logo.png" alt="Logo" /><span>aethrvmn</span>
</a>
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<ul>
<li>
<a href="/pdf/cv.pdf" target="_blank" rel="noopener">
cv
</a>
</li>
</ul>
<ul>
<li>
<a href="/theses/" class="">theses</a>
<ul>
<li>
<a href="/theses/master-thesis/" class="">masters thesis</a>
</li>
<li>
<a href="/theses/bachelor-thesis/" class="">bachelor thesis</a>
</li>
</ul>
</li>
<li>
<a href="/nimphs/" class="">nimphs</a>
<ul>
</ul>
</li>
<li>
<a href="/misc/" class="">misc</a>
<ul>
</ul>
</li>
<li>
<a href="/setup/" class="">setup</a>
<ul>
</ul>
</li>
<li>
<a href="/license/" class="">license</a>
<ul>
</ul>
</li>
</ul>
<div style="bottom:0; position:fixed;">
<h3><u>contact</u></h3>
<ul>
<li>
<a href="mailto:aethrvmn@apotheke.earth" target="_blank" rel="noopener">
mail
</a>
</li>
<li>
<a href="https://t.me/aethrvmn" target="_blank" rel="noopener">
t.me/aethrvmn
</a>
</li>
<li>
<a href="https://sigmoid.social/@aethrvmn" target="_blank" rel="noopener">
@aethrvmn@sigmoid.social
</a>
</li>
</ul>
</div>
</nav>
<script>(function(){var e=document.querySelector("aside .book-menu-content");addEventListener("beforeunload",function(){localStorage.setItem("menu.scrollTop",e.scrollTop)}),e.scrollTop=localStorage.getItem("menu.scrollTop")})()</script>
</div>
</aside>
<div class="book-page">
<header class="book-header">
<div class="flex align-center justify-between">
<label for="menu-control">
<img src="/svg/menu.svg" class="book-icon" alt="Menu" />
</label>
<label for="toc-control">
</label>
</div>
</header>
<article class="markdown book-article"><p><img
id="personal"
src="/images/me.jpg"
alt="my face"
title="i am aware that my face in not aligned with the curve of the arch behind me. your complaint has been duly noted and promptly ignored."></p>
<h1 id="vasilis-valatsosbrβασίλης-βαλατσός">
Vasilis Valatsos<br/>(Βασίλης Βαλατσός)
<a class="anchor" href="#vasilis-valatsosbr%ce%b2%ce%b1%cf%83%ce%af%ce%bb%ce%b7%cf%82-%ce%b2%ce%b1%ce%bb%ce%b1%cf%84%cf%83%cf%8c%cf%82">#</a>
</h1>
<h2 id="software-engineer--new-odysseyhttpsnew-odysseycom">
software engineer @
<a href="https://new-odyssey.com" target="_blank" rel="me" style="color:#AC9C6D">new odyssey</a>
<a class="anchor" href="#software-engineer--new-odysseyhttpsnew-odysseycom">#</a>
</h2>
<p>experience as a backend developer and data scientist</p>
<ul>
<li>implemented postgresql databases and relevant apis.</li>
<li>built data pipelines</li>
<li>provided insights for decision-makers</li>
<li>
<a href="https://contrapodernews.com/jorge-jraissati-denuncia-a-reguladores-de-criptomonedas-tuvimos-que-confrontarnos-a-la-instrumentalizacion-politica-de-las-regulaciones/" target="_blank" rel="me" style="color:#AC9C6D">influenced policy making</a> in the EU with data.</li>
<li>helped a non-profit organization
<a href="https://www.atlasnetwork.org/stories/african-solutions-for-african-problems" target="_blank" rel="me" style="color:#AC9C6D">win prestigious awards</a></li>
</ul>
<p>focused on bringing reinforcement learning back in the mainstream, combining it with state-of-the-art natural language processing methods, such as large language models.</p>
<p>m.sc. in statistics and data science,<br/>
university of turin,<br/>
<a href="/projects/master-thesis" style="color:#AC9C6D">m-thesis</a>: implemented ppo in a custom environment named pneuma</p>
</article>
<footer class="book-footer">
<div class="flex flex-wrap justify-between">
<div class="info-container">
<div class="commit-info">
<span>Page last edited on 10/11/2024</span>
<br/>
<span>
title: updated homepage
</span>
<br/>
<span>
commit: <a href="https://git.apotheke.earth/aethrvmn/home/commit/8f1c0d2e6323e71485fbd13599f461bd4764420d" target="_blank" rel="noopener">8f1c0d2</a>
</span>
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author: aethrvmn
</span>
<br/>
<span>
&lt;aethrvmn@apotheke.earth>
</div>
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<script>(function(){function e(e){const t=window.getSelection(),n=document.createRange();n.selectNodeContents(e),t.removeAllRanges(),t.addRange(n)}document.querySelectorAll("pre code").forEach(t=>{t.addEventListener("click",function(){if(window.getSelection().toString())return;e(t.parentElement),navigator.clipboard&&navigator.clipboard.writeText(t.parentElement.textContent)})})})()</script>
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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>home on aethrvmn</title>
<link>http://localhost:1313/</link>
<description>Recent content in home on aethrvmn</description>
<generator>Hugo</generator>
<language>en</language>
<atom:link href="http://localhost:1313/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>masters thesis</title>
<link>http://localhost:1313/theses/master-thesis/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>http://localhost:1313/theses/master-thesis/</guid>
<description>Reinforcement LearningTheory and Implementation in a Custom Environment # you can find the thesis here and the code here&#xA;Abstract # Reinforcement Learning (RL) is a subcategory of Machine Learning that consis- tently surpasses human performance and demonstrates superhuman understand- ing in various environments and datasets. Its applications span from master- ing games like Go and Chess to optimizing real-world operations in robotics, fi- nance, and healthcare. The adaptability and efficiency of RL algorithms in dynamic and complex scenarios highlight their transformative potential across multiple do- mains.</description>
</item>
<item>
<title>bachelor thesis</title>
<link>http://localhost:1313/theses/bachelor-thesis/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>http://localhost:1313/theses/bachelor-thesis/</guid>
<description>The OneDimensional Heisenberg ModelRG Methods and Numerical Simulation of the SDRG Process # you can find the thesis here and the code here&#xA;Abstract # The Strong Disorder Renormalisation Group (SDRG) method, first introduced by Dasgupta, Ma and Hu, and later greatly expanded by Fisher, yields asymptotically exact results in distributions where the disorder grows without limit in large scales, whilst Fisher also calculated limit values as well as scaling factors for random spin chains.</description>
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</rss>

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<!DOCTYPE html>
<html lang="en" dir="ltr">
<head><script src="/livereload.js?mindelay=10&amp;v=2&amp;port=1313&amp;path=livereload" data-no-instant defer></script>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="description" content="Don&rsquo;t Be Evil License (DBEL) 1.0 # 1. Acceptance # By using, copying, modifying, or distributing the source code, training data, training environment, or its associated machine learning model weights (collectively the &ldquo;Software&rdquo;), you agree to comply with all terms outlined in this license.
2. Copyright License # The Licensor (defined below) grants you a non-exclusive, worldwide, royalty-free, non-sublicensable, non-transferable clicense to use, copy, modify, and distribute the Software, including associated model weights, training data, and training environments, subject to the conditions set forth in this license.">
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<meta property="og:site_name" content="aethrvmn">
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<meta property="og:description" content="Dont Be Evil License (DBEL) 1.0 # 1. Acceptance # By using, copying, modifying, or distributing the source code, training data, training environment, or its associated machine learning model weights (collectively the Software), you agree to comply with all terms outlined in this license.
2. Copyright License # The Licensor (defined below) grants you a non-exclusive, worldwide, royalty-free, non-sublicensable, non-transferable clicense to use, copy, modify, and distribute the Software, including associated model weights, training data, and training environments, subject to the conditions set forth in this license.">
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<article class="markdown book-article"><h1 id="dont-be-evil-license-dbel-10">
Don&rsquo;t Be Evil License (DBEL) 1.0
<a class="anchor" href="#dont-be-evil-license-dbel-10">#</a>
</h1>
<hr>
<h2 id="1-acceptance">
1. Acceptance
<a class="anchor" href="#1-acceptance">#</a>
</h2>
<p>By using, copying, modifying, or distributing the source code, training data, training environment, or its associated machine learning model weights (collectively the &ldquo;Software&rdquo;), you agree to comply with all terms outlined in this license.</p>
<h2 id="2-copyright-license">
2. Copyright License
<a class="anchor" href="#2-copyright-license">#</a>
</h2>
<p>The Licensor (defined below) grants you a non-exclusive, worldwide, royalty-free, non-sublicensable, non-transferable clicense to use, copy, modify, and distribute the Software, including associated model weights, training data, and training environments, subject to the conditions set forth in this license. This includes the right to create and distribute derivative works of the Software, provided that the limitations below are observed.</p>
<h2 id="3-non-commercial-use-only">
3. Non-Commercial Use Only
<a class="anchor" href="#3-non-commercial-use-only">#</a>
</h2>
<p>You may use, copy, modify, and distribute the Software and derivative works solely for non-commercial purposes. Non-commercial purposes include, but are not limited to:</p>
<ul>
<li>Personal research and study.</li>
<li>Educational and academic projects.</li>
<li>Public knowledge and hobby projects</li>
<li>Religious observance.</li>
<li>Non-commercial research, or AI and machine learning (ML) experimentation.</li>
</ul>
<h2 id="4-distribution-and-monetization-provisions">
4. Distribution and Monetization Provisions
<a class="anchor" href="#4-distribution-and-monetization-provisions">#</a>
</h2>
<p>Any use of the Software or derivative works for profit, or in a business context, including in monetized services and products, requries explicit, seperate permission from the Licensor. The restrictions on commercial use apply to both the source code and any model weights produced by the Software.</p>
<p>Any distribution must include this license, and the non-commercial restriction must be maintained. Weights resulting from use of the Software, including but not limited to training or fine-tuning models, must be shared under this same license, ensuring all restrictions and conditions are preserved.</p>
<h2 id="5-integrity-of-the-licensors-software">
5. Integrity of the Licensor&rsquo;s Software
<a class="anchor" href="#5-integrity-of-the-licensors-software">#</a>
</h2>
<p>You may not alter, remove, or obscure any functionalities related to payment, donation, or attribution in any distributed version of the Licensed Materials. You must retain all notices of copyright, licensing, and attribution provided by the Licensor in any derivative works.</p>
<p>You may not alter or remove copyright, license, or trademark notices in the Software, and any public mention of the Software must include attribution to the Licensor.</p>
<h2 id="6-patents">
6. Patents
<a class="anchor" href="#6-patents">#</a>
</h2>
<p>This license grants you a patent license under any patents held by the Licensor that are directly related to the Software. If you or your company make any claim that the Software infringes on a patent, your rights under this license terminate immediately.</p>
<h2 id="7-distribution-of-modifications">
7. Distribution of Modifications
<a class="anchor" href="#7-distribution-of-modifications">#</a>
</h2>
<p>If you modify the Software, you must</p>
<ul>
<li>Provide prominent and clear notice of any modifications</li>
<li>Retain all original notices of copyright, licensing, and attribution to the Licensor.</li>
<li>Distribute modified versions under this license.</li>
</ul>
<h2 id="8-fair-use">
8. Fair Use
<a class="anchor" href="#8-fair-use">#</a>
</h2>
<p>Nothing under this license restricts your rights under applicable laws regarding fair use of copyrighted material.</p>
<h2 id="9-no-other-rights">
9. No Other Rights
<a class="anchor" href="#9-no-other-rights">#</a>
</h2>
<p>These terms do not allow you to sublicense, assign, or transfer any of your rights to third parties, except as expressly allowed by the terms.</p>
<p>These terms do not prevent the Licensor from granting licenses to anyone else.</p>
<p>These terms do not imply any other licenses.</p>
<p>No other rights beyond those explicitly stated are granted.</p>
<h2 id="10-termination">
10. Termination
<a class="anchor" href="#10-termination">#</a>
</h2>
<p>Your rights under this license will automatically terminate if you breach any of its terms. The Licensor may provide you with a 30-day period to rectify any breach. If you fail to do so, or if you breach the terms again after rectification, your license will terminate permanently.</p>
<h2 id="11-disclaimer-of-warranty">
11. Disclaimer of Warranty
<a class="anchor" href="#11-disclaimer-of-warranty">#</a>
</h2>
<p>The Licensed Materials are provides “as-is”, without any warranties, express or implied, including but not limited to warranties of fitness for a particular purpose. The Licensor is not liable for any claims or damages arising from your use of the Licensed Materials.</p>
<h2 id="12-definitions">
12. Definitions
<a class="anchor" href="#12-definitions">#</a>
</h2>
<ul>
<li>&ldquo;Licensor&rdquo;: The entity or individual offering the Licensed Materials under this license.</li>
<li>&ldquo;Licensed Materials&rdquo;: The software, source code, training data, training environment, model weights, and any associated AI/ML components provided under this license.</li>
<li>&ldquo;You&rdquo;: The individual or entity accepting the terms of this license, including any organization or entity that this individual or entity might work for or represent, including any entities under common control.</li>
<li>&ldquo;Your license&rdquo;: The license granted to you for the software under this terms.</li>
<li>&ldquo;Model weights&rdquo;: The machine learning model parameters generated by training or fine-tuning models using the Licensed Materials.</li>
<li>&ldquo;Use&rdquo;: Anything you do with the software requiring your license</li>
<li>&ldquo;Trademark&rdquo;: Trademarks, service marks, and similar rights.</li>
</ul>
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super-mario-ddqn: implementing an agent to autonomously play super mario bros. ising-model-tax-evasion: simulating the ising model from physics as a means of estimating the probability of tax evasion in a given population. human-diffusion: a simulation of the Out of Africa (OOA) event in prehistory. black-scholes: exploring the black-scholes equation.">
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super-mario-ddqn: implementing an agent to autonomously play super mario bros. ising-model-tax-evasion: simulating the ising model from physics as a means of estimating the probability of tax evasion in a given population. human-diffusion: a simulation of the Out of Africa (OOA) event in prehistory. black-scholes: exploring the black-scholes equation.">
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<article class="markdown book-article"><h1 id="misc-projects">
misc projects
<a class="anchor" href="#misc-projects">#</a>
</h1>
<hr>
<p>this is the place for my miscalleneous projects. here you&rsquo;ll find a collection of different things that piqued my interest.</p>
<ul>
<li>
<a href="https://github.com/aethrvmn/supermarioddqn" target="_blank" rel="me" style="color:#AC9C6D">super-mario-ddqn</a>: implementing an agent to autonomously play super mario bros.</li>
<li>
<a href="https://github.com/aethrvmn/Ising-Tax-Evasion" target="_blank" rel="me" style="color:#AC9C6D">ising-model-tax-evasion</a>: simulating the ising model from physics as a means of estimating the probability of tax evasion in a given population.</li>
<li>
<a href="https://github.com/aethrvmn/human-diffusion" target="_blank" rel="me" style="color:#AC9C6D">human-diffusion</a>: a simulation of the Out of Africa (OOA) event in prehistory.</li>
<li>
<a href="https://github.com/aethrvmn/black-scholes-model" target="_blank" rel="me" style="color:#AC9C6D">black-scholes</a>: exploring the black-scholes equation.</li>
</ul>
<p>feel free to explore and delve into the details.</p>
</article>
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all of them use the arraymancer library, and all of them are in extreme pre-alpha stage of development.
finally, all of them are licensed under a custom licence, the dont be evil license, which i wrote.
nyrids # nyrids are nlp models:
melite is an implementation of a bigram model trained on public domain texts.">
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all of them use the arraymancer library, and all of them are in extreme pre-alpha stage of development.
finally, all of them are licensed under a custom licence, the dont be evil license, which i wrote.
nyrids # nyrids are nlp models:
melite is an implementation of a bigram model trained on public domain texts.">
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<article class="markdown book-article"><h1 id="nimphs">
nimphs
<a class="anchor" href="#nimphs">#</a>
</h1>
<hr>
<p>the
<a href="#" style="color:#AC9C6D">nimphs</a> are a family of families of ml algorithms written in
<a href="https://nim-lang.org" target="_blank" rel="me" style="color:#AC9C6D">nim</a>, a low level systems language, with syntax similar to
<a href="https://python.org" target="_blank" rel="me" style="color:#AC9C6D">python</a>.</p>
<p>all of them use the
<a href="https://mratsim.github.io/Arraymancer/index.html" target="_blank" rel="me" style="color:#AC9C6D">arraymancer</a> library, and all of them are in extreme pre-alpha stage of development.</p>
<p>finally, all of them are licensed under a custom licence, the
<a href="/license" style="color:#AC9C6D">dont be evil license</a>, which i wrote.</p>
<h2 id="nyrids">
nyrids
<a class="anchor" href="#nyrids">#</a>
</h2>
<p>
<a href="#" style="color:#AC9C6D">nyrids</a> are nlp models:</p>
<ul>
<li>
<a href="#" style="color:#AC9C6D">melite</a> is an implementation of a bigram model trained on public domain texts.</li>
<li>
<a href="#" style="color:#AC9C6D">nimertes</a> is about translating the
<a href="https://arxiv.org/abs/1706.03762" target="_blank" rel="me" style="color:#AC9C6D">transformer</a> architecture to
<a href="https://nim-lang.org" target="_blank" rel="me" style="color:#AC9C6D">nim</a>.</li>
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<h2 id="oreads">
oreads
<a class="anchor" href="#oreads">#</a>
</h2>
<p>
<a href="#" style="color:#AC9C6D">oreads</a> are reinforcement learning models and architectures. rather than being split like the
<a href="#nyrids" style="color:#AC9C6D">nyrids</a>, they instead are an implementation library, akin to
<a href="https://stable-baselines.readthedocs.io/en/master/" target="_blank" rel="me" style="color:#AC9C6D">stablebaselines</a> or
<a href="https://docs.cleanrl.dev/" target="_blank" rel="me" style="color:#AC9C6D">cleanrl</a>.</p>
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<span>Page last edited on 10/11/2024</span>
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title: named nimphs and moved them to own page
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commit: <a href="https://git.apotheke.earth/aethrvmn/home/commit/2f7d08692c871ea582a68a8554415e4182dd465b" target="_blank" rel="noopener">2f7d086</a>
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