XDA Developers on MSN

I used Meta Llama 4, Qwen 3-Coder and Gemma 4 to develop a Python app, and only one model is worth keeping for developers

Putting some of the best local models to the development test ...
GitHub

Implemented K-Means Clustering with Elbow Method, KneeLocator, and Silhouette Score

This project demonstrates the implementation of the K-Means Clustering algorithm using Python and Scikit-learn. It includes data generation, clustering, validation of the optimal K value using the ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
eLife

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
AutoExpress

Audi A5 Avant review

The latest Audi A5 Avant makes a lot of sense, especially in TDI diesel guise. It’s practical and spacious, comes with efficient mild-hybrid and plug-in hybrid power, and is arguably better looking ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
GitHub

Mall Customer Segmentation using K-Means Clustering

Customer segmentation project using the Mall Customers Dataset and K-Means Clustering to identify groups of customers based on demographic characteristics and purchasing behavior. Customer ...