<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>machine learning on Marius Lange</title><link>https://mariuslange.com/tag/machine-learning/</link><description>Recent content in machine learning on Marius Lange</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>marius.lange.lab@gmail.com (Marius Lange)</managingEditor><webMaster>marius.lange.lab@gmail.com (Marius Lange)</webMaster><copyright>© 2026 Marius Lange. This work is licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/).</copyright><lastBuildDate>Thu, 01 May 2025 12:00:00 +0000</lastBuildDate><atom:link href="https://mariuslange.com/tag/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>slurm_sweep: A Lightweight Utility for Hyperparameter Sweeps on SLURM 🧪🔍</title><link>https://mariuslange.com/post/slurm_sweep_utility/</link><pubDate>Thu, 01 May 2025 12:00:00 +0000</pubDate><author>marius.lange.lab@gmail.com (Marius Lange)</author><guid>https://mariuslange.com/post/slurm_sweep_utility/</guid><description>&lt;p&gt;For those of you working on SLURM clusters who struggle with running hyperparameter sweeps, I&amp;rsquo;ve released a small utility package called &lt;a href="https://github.com/quadbio/slurm_sweep" target="_blank" rel="noreferrer"&gt;slurm_sweep&lt;/a&gt; that might save you some time and effort.&lt;/p&gt;

&lt;h2 class="relative group"&gt;What is slurm_sweep? 🤔
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&lt;p&gt;&lt;code&gt;slurm_sweep&lt;/code&gt; is a command-line utility that bridges the gap between &lt;a href="https://wandb.ai/" target="_blank" rel="noreferrer"&gt;Weights &amp;amp; Biases (W&amp;amp;B)&lt;/a&gt; hyperparameter sweeps and SLURM job arrays. It solved a specific workflow problem I kept encountering: efficiently parallelizing hyperparameter sweeps on cluster infrastructure while keeping experiment tracking organized.&lt;/p&gt;</description></item><item><title>AI-Powered Cell Type Annotation for scRNA-seq Data with CellAnnotator</title><link>https://mariuslange.com/post/cell_annotator_release/</link><pubDate>Sun, 20 Apr 2025 12:00:00 +0000</pubDate><author>marius.lange.lab@gmail.com (Marius Lange)</author><guid>https://mariuslange.com/post/cell_annotator_release/</guid><description>&lt;p&gt;Tired of manually annotating cell types in your single-cell datasets? I&amp;rsquo;m thrilled to announce &lt;a href="https://github.com/quadbio/cell-annotator" target="_blank" rel="noreferrer"&gt;CellAnnotator&lt;/a&gt;, a new tool that harnesses the power of large language models to automate one of the most time-consuming steps in scRNA-seq analysis. As part of the &lt;a href="https://scverse.org/packages/#ecosystem" target="_blank" rel="noreferrer"&gt;scverse ecosystem&lt;/a&gt;, CellAnnotator interprets marker gene patterns to generate consistent cell type annotations with less human intervention. This works well for many systems where vast prior knowledge is available, but has limitations in less well studied systems. Also, you&amp;rsquo;ll still need to validate and fine-tune your annotations. So use with care.&lt;/p&gt;</description></item><item><title>MSc thesis project available</title><link>https://mariuslange.com/post/msc_thesis/</link><pubDate>Tue, 20 Feb 2024 12:57:18 +0000</pubDate><author>marius.lange.lab@gmail.com (Marius Lange)</author><guid>https://mariuslange.com/post/msc_thesis/</guid><description>&lt;p&gt;Are you an MSc student in Computer Science, Physics, Maths, Bioinformatics, or a related discipline with strong coding/ML skills and an interest in biological questions? This thesis project might be interesting for you!&lt;/p&gt;</description></item></channel></rss>