InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Argus Leader

Find out what a new SDHSAA classification model could look like

The South Dakota High School Activities Association (SDHSAA) discussed a new model for classifying teams at its Board of Directors meeting on Jan. 21, but Executive Director Dan Swartos said the new ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
GitHub

This dataset includes audio samples from multiple music genres with genre labels. Perfect for music information retrieval, genre classification, audio feature extraction, and ...

music-classification/ ├── data/ │ ├── audio/ │ │ ├── classical/ │ │ ├── jazz/ │ │ ├── rock/ │ │ ├── pop ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
GitHub

svm-model

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
C&EN

Lithofacies Classification and Sweet Spot Development Model for Marine Shale in the Lower Cambrian Qiongzhusi Formation, Sichuan Basin

School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China National Key Laboratory of Oil & Gas Reservoir Geology and Exploitation (Southwest Petroleum University), ...