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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

LiteLLM incorrect embeddings classification

Add the LiteLLMIntegration to your sentry init integrations list. Run an embedding using LiteLLM (v1.77.5 in my case) I expect the operation name to be "embedding". Looking at the current ...
Windows Report

Excel Now Lets You Run Python Code to Analyze Images Within Sheets

Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...
Frontiers

Fine-grained image classification using the MogaNet network and a multi-level gating mechanism

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...
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Build a Neural Network for Multiclass Classification with Softmax in Python

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
IEEE

Research on Hyperspectral Image Classification Based on IF-ICA and Multi-Kernel SVM

Abstract: Applying Support Vector Machine (SVM) theory to hyperspectral images classification can significantly mitigate the decline in classification performance caused by the curse of dimensionality ...
IEEE

Multilabel SVM active learning for image classification

Abstract: Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categorized into ...