<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jupyter on Noureddine RAMDI</title><link>https://ramdi.fr/tags/jupyter/</link><description>Recent content in Jupyter on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/jupyter/index.xml" rel="self" type="application/rss+xml"/><item><title>GoMLX: Bringing PyTorch-Level Machine Learning to Go with OpenXLA and WASM</title><link>https://ramdi.fr/github-stars/gomlx-bringing-pytorch-level-machine-learning-to-go-with-openxla-and-wasm/</link><pubDate>Tue, 05 May 2026 22:24:55 +0000</pubDate><guid>https://ramdi.fr/github-stars/gomlx-bringing-pytorch-level-machine-learning-to-go-with-openxla-and-wasm/</guid><description>GoMLX is a Go-native machine learning framework offering automatic differentiation, multi-backend support including OpenXLA acceleration, and ONNX compatibility. It enables training and inference of LLMs like GPT-2 entirely in Go, with a pure-Go backend for WASM.</description></item><item><title>Microsoft's ML-For-Beginners: A Project-Based Classic Machine Learning Curriculum</title><link>https://ramdi.fr/github-stars/microsoft-s-ml-for-beginners-a-project-based-classic-machine-learning-curriculum/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/microsoft-s-ml-for-beginners-a-project-based-classic-machine-learning-curriculum/</guid><description>Microsoft&amp;rsquo;s ML-For-Beginners offers a 12-week, project-based classic machine learning course using Scikit-learn and Jupyter Notebooks, focusing on foundational concepts with interactive lessons and quizzes.</description></item></channel></rss>