IEEE

Integration of LSTM and U-Net Models for Monitoring Electrical Absorption With a System of Sensors and Electronic Circuits

Abstract: The evolution of electronic systems has significantly improved the monitoring of electrical consumption, ensuring precise measurement of energy assets. This article proposes a three-step ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
IEEE

Innovative Lung Cancer Detection: Integrating Attention U-Net Segmentation with Ensemble Deep Learning Classification

Abstract: Lung cancer detection is important, given the high mortality rate associated with it. Diagnosis of this disease at early stages offers great opportunities for successful treatment and ...
GitHub

zhanh-he/midi-velocity-colorizer

Filling MIDI Velocity using U-Net Image Colorizer. This repo is the code of paper published in CMMR2025 [PDF], a PyTorch implementation for filling MIDI velocities from given MIDI notes. The model is ...
Analytics Insight

Top PyTorch Courses for Learning in 2026

PyTorch courses focus strongly on real-world Deep Learning projects and production skills. Transformer models and NLP training are now core parts of most advanced programs. Hardware optimization and ...
GitHub

Cell Counting in Microscopy Images — U-Net & Attention U-Net

This project implements a complete deep learning pipeline for counting cells in microscopy images using semantic segmentation. Given fluorescence microscopy images, the model predicts a binary ...