In this project we tried to develop an Ai model to classify voice audio to a particular class (e.g - calm, happy, angry etc.)
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Updated
Jan 22, 2022 - Jupyter Notebook
In this project we tried to develop an Ai model to classify voice audio to a particular class (e.g - calm, happy, angry etc.)
Clean, modular DQN in PyTorch with Double/Dueling options and MLP/CNN/LSTM backbones—plug-and-play for Gymnasium environments.
A Next.js web application that uses a 1D Convolutional Neural Network (CNN1D) to predict temperature and humidity in a room located in Popayán, Colombia. The model is built with TensorFlow.js and runs entirely in the browser.
Multivariate forecasting of indoor temperature and humidity in Popayán, Colombia, using two sensors. Compares MLP, LSTM, and 1D CNN models over 4-month and 1-year datasets with 60-minute-ahead prediction.
Clasificación de estadios de sueño usando EEG, EOG y EMG del dataset Sleep-EDF Expanded // Sleep stage classification using EEG, EOG, and EMG from the Sleep-EDF Expanded dataset
Deep Learning Based IoT enabled Device for realtime heartbeat classification using ECG Montioring
NLP project to Emotion Classification through your text
This repository implements a Spam Email Classifier using a Convolutional Neural Network (CNN) with a Conv1D architecture. The model takes in word frequency vectors extracted from emails and predicts whether the email is Spam or Not Spam.
FFNN, CNN1D, and CNN2D models for solving the inverse neutron scattering problem by predicting honeycomb-lattice exchange parameters from synthetic spin-wave spectra. The pipeline generates spectra, classifies the sign of J1, predicts J2–J8, and evaluates model accuracy, robustness, and noise sensitivity on test and random parameter sets.
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