<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Wowchemy | Resume</title><link>https://resume.tj-coding.uk/tags/wowchemy/</link><atom:link href="https://resume.tj-coding.uk/tags/wowchemy/index.xml" rel="self" type="application/rss+xml"/><description>Wowchemy</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 26 Oct 2023 00:00:00 +0000</lastBuildDate><image><url>https://resume.tj-coding.uk/media/icon_hu12507186806436944661.png</url><title>Wowchemy</title><link>https://resume.tj-coding.uk/tags/wowchemy/</link></image><item><title>PyTorch</title><link>https://resume.tj-coding.uk/project/pytorch/</link><pubDate>Thu, 26 Oct 2023 00:00:00 +0000</pubDate><guid>https://resume.tj-coding.uk/project/pytorch/</guid><description>&lt;p>PyTorch is a Python package that provides tensor computation (like NumPy) with strong GPU acceleration.&lt;/p></description></item><item><title>scikit-learn</title><link>https://resume.tj-coding.uk/project/scikit/</link><pubDate>Thu, 26 Oct 2023 00:00:00 +0000</pubDate><guid>https://resume.tj-coding.uk/project/scikit/</guid><description>&lt;p>scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.&lt;/p></description></item></channel></rss>