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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Jan 22, 2022 - Jupyter Notebook
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cnn1d
Here are 10 public repositories matching this topic...
Clean, modular DQN in PyTorch with Double/Dueling options and MLP/CNN/LSTM backbones—plug-and-play for Gymnasium environments.
deep-reinforcement-learning openai-gym pytorch lstm reinforcement-learning-algorithms mlp gymnasium deep-q-learning pytho double-dqn dueling-dqn lunar-lander replay-buffer dq cnn1d double-deep-q-learning rl-benchmark
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Sep 23, 2025 - Python
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
python machine-learning deep-learning random-forest jupyter-notebook kaggle eeg lstm xgboost physionet emg sleep-analysis eog cnn-lstm sleep-scoring sleep-stage-classification cnn1d sleep-edf
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Dec 27, 2025 - Jupyter Notebook
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.
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Jul 13, 2026 - TypeScript
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.
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Sep 30, 2026 - Jupyter Notebook
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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Sep 15, 2026 - Python
Deep Learning Based IoT enabled Device for realtime heartbeat classification using ECG Montioring
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Apr 15, 2023 - Jupyter Notebook
NLP project to Emotion Classification through your text
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Jul 6, 2024 - Jupyter Notebook
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.
python nlp machine-learning deep-learning text-classification tensorflow keras convolutional-neural-networks spam-detection email-classification cnn1d
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Dec 26, 2024 - Jupyter Notebook
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