From 7fdfcc64a0c355ea98ad7845616fead94cea4c1e Mon Sep 17 00:00:00 2001
From: Dmitrii Nikitko <mr.puzer@gmail.com>
Date: Sun, 4 Jan 2026 12:07:03 +0100
Subject: [PATCH] Added 'Training GitHub Repository Embeddings using Stars'
 resource

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 index.html | 1 +
 1 file changed, 1 insertion(+)

diff --git a/index.html b/index.html
index 514f258..c8c26d2 100644
--- a/index.html
+++ b/index.html
@@ -164,6 +164,7 @@ <h2 id="resources"><a href="#resources">Research, visualizations, talks...</a></
           <br/>
 
           <ul>
+            <li><a href="https://github.com/Puzer/github-repo-embeddings">Training GitHub Repository Embeddings using Stars</a> - engineering deep dive and sources and <a href="https://puzer.github.io/github_recommender/">interactive demo</a>. A client-side (WASM for vector search in browser) semantic search engine and developer profile analyzer.</li>
             <li><a href="https://github.com/osslab-pku/gfi-bot">GFI-Bot</a> is an ML-powered bot for finding and labeling good first issues in GitHub projects. GFI-Bot is available at <a href="https://gfibot.io">WebApp</a>, where you can browse through existing good first issue recommendations or register your own repository for recommendation</a>.</li>
             <li><a href="https://ieeexplore.ieee.org/abstract/document/10207085">Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers</a> - machine learning model that can be used to classify GitHub issues as technical debt or not. All source code is freely available on <a href="https://zenodo.org/record/7225077">Zenodo</a>.</li>
             <li><a href="https://www.baresquare.com/github-devtrends/">GitHub DevTrends</a> is a freely available dynamic report for the developer community based on trends identified from GitHub data.</a></li>