<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Classification | Amit Pant</title><link>https://amitpant.netlify.app/tags/classification/</link><atom:link href="https://amitpant.netlify.app/tags/classification/index.xml" rel="self" type="application/rss+xml"/><description>Classification</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 20 Aug 2024 00:00:00 +0000</lastBuildDate><image><url>https://amitpant.netlify.app/media/icon_hu7729264130191091259.png</url><title>Classification</title><link>https://amitpant.netlify.app/tags/classification/</link></image><item><title>Paper Replication from Scratch using PyTorch</title><link>https://amitpant.netlify.app/project/paper-rep/</link><pubDate>Tue, 20 Aug 2024 00:00:00 +0000</pubDate><guid>https://amitpant.netlify.app/project/paper-rep/</guid><description>&lt;p>Paper replications for various classification and object detection tasks, all implemented from scratch using PyTorch. Additionally, I have pruned certain networks to enhance their real-time performance, allowing for a tunable trade-off between accuracy and efficiency.&lt;/p>
&lt;!-- [Github: Paper Replication Repository](https://github.com/your-username/repository-link) -->
&lt;!-- ![Paper Replication](Assets/repo-image.png) --></description></item></channel></rss>