Guide Labs debuts a new kind of interpretable LLM

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
IEEE

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...
GitHub

eric-vo/mathworks-noise-suppression

data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...
IEEE

Emotion Recognition Using EEG Signals in Human Brain Waves and Deep Learning Approaches

Abstract: Emotion recognition using EEG signals has gained growing attention in recent years due to its promising applications in human-computer interaction, affective computing, and mental health ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Hosted on MSN

Photoshop tutorial: How to make a nebula and celestial sphere in deep space

Photoshop CS6 tutorial showing how to make a colorful nebula and celestial sphere in deep space. Hollywood remembers Catherine O’Hara 7 States tinker with congressional maps after California, Texas ...