this projects contains set of codes that will process the raw audio data for dataset creation and build MLP and CCN models forreal-time voice recognition with 4 classes. at last we implemented this model on a simple game
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 91.22% accuracy! 🚀
🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 86.80% accuracy! 🚀
🔥 Sentiment Classifier App: Instantly predict whether a review is positive or negative using machine learning! 🧠💬 Built with Logistic Regression, trained on 84K+ reviews, with 88.15% accuracy! 🚀
Add a description, image, and links to the real-time-classification topic page so that developers can more easily learn about it.
To associate your repository with the real-time-classification topic, visit your repo's landing page and select "manage topics."