Even Linus Torvalds is trying his hand at vibe coding (but just a little)

Linux and Git creator Linus Torvalds’ latest project contains code that was “basically written by vibe coding,” but you ...
Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
IEEE

Code-length Optimization for Polar-coded OTFS Modulation via Tensor Decomposition

Abstract: The polar-coded OTFS system is applicable to high-speed mobile communication scenarios. However, the interplay between polar code and OTFS modulation ...
Hacker

The Bit Shift Paradox: How "Optimizing" Can Make Code 6× Slower

Your browser does not support the audio element. TL;DR: Caching bit shifts looks smart but makes code up to 6× slower. Modern CPUs and compilers make direct ...
Forbes

34 Website Optimization Tips

As a small business owner, Liz understands the unique challenges entrepreneurs face. Well-versed in the digital landscape, she combines real-world experience in website design, building e-commerce ...
Geeky Gadgets

How to Optimize Claude Code for Maximum Efficiency and Cost Savings

What if the key to unlocking the full potential of your AI-powered workflows lies not in adding more tools but in optimizing the ones you already have? For developers and teams using Claude Code, the ...
GitHub

andreas-apostolatos/Engineering-Design-Optimization-using-MATLAB-and-Python

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...
IEEE

Code Optimization for Python using Large Pre-Trained Model

Abstract: Optimizing Python code is essential for enhancing performance and efficiency. This project investigates the use of large pre-trained language models, specifically GPT (Generative Pre-trained ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
GitHub

ScaleKD: Strong Vision Transformers Could Be Excellent Teachers

This repository is the official PyTorch implementation of ScaleKD: Strong Vision Transformers Could Be Excellent Teachers published in NeurIPS 2024. Overview of three core components in our ScaleKD, ...