<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PyTorch on Rishika Bera</title><link>https://rishika2024.github.io/tags/pytorch/</link><description>Recent content in PyTorch on Rishika Bera</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>berarishika@gmail.com (Rishika Bera)</managingEditor><webMaster>berarishika@gmail.com (Rishika Bera)</webMaster><copyright>Rishika Bera</copyright><lastBuildDate>Mon, 10 Aug 2026 14:15:05 +0700</lastBuildDate><atom:link href="https://rishika2024.github.io/tags/pytorch/index.xml" rel="self" type="application/rss+xml"/><item><title>Lattice Print Path Planning with Reinforcement Learning</title><link>https://rishika2024.github.io/posts/meca500_rl/</link><pubDate>Mon, 10 Aug 2026 14:15:05 +0700</pubDate><author>berarishika@gmail.com (Rishika Bera)</author><guid>https://rishika2024.github.io/posts/meca500_rl/</guid><description>&lt;p&gt;This project tackles print path planning for lattice structures using reinforcement learning. Given a lattice (vertices + edges from LatticeQuery), the goal is to find the order to print every strut without the nozzle colliding with already printed material.&lt;/p&gt;</description></item><item><title>YOLO Distillation for Real-Time Inference on a Raspberry Pi Zero</title><link>https://rishika2024.github.io/posts/yolo_distillation/</link><pubDate>Wed, 10 Jun 2026 14:15:05 +0700</pubDate><author>berarishika@gmail.com (Rishika Bera)</author><guid>https://rishika2024.github.io/posts/yolo_distillation/</guid><description>&lt;h4 class="relative group"&gt;Joint project with Theo Coulson, Northwestern University
 &lt;div id="joint-project-with-theo-coulson-northwestern-university" class="anchor"&gt;&lt;/div&gt;
 
&lt;/h4&gt;
&lt;p&gt;Distilling a fine-tuned YOLO detector into a custom architecture small enough to run in real time on a Raspberry Pi Zero 2W, so a drone can spot and land on a landing platform on its own — at about a tenth of the teacher&amp;rsquo;s parameter count. Read the &lt;a href="https://rishika2024.github.io/yolo_distillation/report.pdf" style="text-decoration: underline;"&gt;full report&lt;/a&gt; for the complete writeup.&lt;/p&gt;</description></item></channel></rss>