I put Claude 4.5 and Gemini 2.5 to the test with 9 prompts — from coding and logic puzzles to storytelling and creativity — ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for improving optimization techniques in machine learning! 💡🔧 #NesterovGradient #Mach ...

On September 29th, the Linux Foundation announced that it is contributing Newton, a next-generation, GPU-accelerated physics ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

This GitHub repository includes the implementation code of the paper "Density Ratio-based Proxy Causal Learning Without Density Ratios" (Accepted to AISTATS 2025). All the codes are written in Python ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Spin-polarized magnetic systems, generated by the interaction of photoactive molecules ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...

The materials have been made available under an MIT license. The materials are as-is with no liability for the author. Please provide credit if you reuse the code in your own work. All dependencies ...

Like many in the K-12 CSEd community, I‘ve been reflecting on the changing landscape of computing—and coding—education in the age of Generative AI (GenAI). I have shared these evolving thoughts in ...