long-short-term-memory-network

Here are 10 public repositories matching this topic...

SayamAlt / Wind-Solar-Electricity-Production-Forecasting-using-LSTM

This project forecasts the total wind and solar electricity production using Long Short-Term Memory (LSTM) neural networks implemented in PyTorch. The model leverages time-series data to predict future renewable energy generation, helping to optimize energy management and grid stability.

pytorch recurrent-neural-networks lstm-neural-networks time-series-forecasting long-short-term-memory-network model-training-and-evaluation

Updated Sep 15, 2024
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PrashanthaTP / tweet-sentiment-classifier

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Sentiment Analysis of Tweets using Neural Networks with Pytorch

python nlp natural-language-processing sentiment-analysis cnn pytorch lstm convolutional-neural-networks twitter-sentiment-analysis hybrid-model sentiment-classification hybrid-neural-network long-short-term-memory-network

Updated Sep 11, 2021
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SayamAlt / Metro-Interstate-Traffic-Volume-Prediction

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This project leverages Long Short-Term Memory (LSTM) neural networks to predict metro interstate traffic volume. The model is built using PyTorch and trained on historical traffic data to forecast future traffic patterns.

pytorch recurrent-neural-networks lstm-neural-networks time-series-forecasting long-short-term-memory-network

Updated Sep 15, 2024
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SayamAlt / Green-Energy-Production-Forecasting-using-LSTM

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This project utilizes Long Short-Term Memory (LSTM) networks in PyTorch to forecast green energy production based on historical data. The model is designed to predict energy output from renewable sources like solar and wind by capturing time-dependent patterns in the data.

pytorch recurrent-neural-networks forecasting lstm-neural-networks time-series-forecasting long-short-term-memory-network model-training-and-evaluation

Updated Sep 17, 2024
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NajdBinrabah / Deep-Learning-with-TensorFlow-and-Keras

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This project explores emotion recognition in audio data, focusing on feature extraction techniques while also comparing the performance of LSTM and 1D CNN models.

python data-science machine-learning deep-neural-networks deep-learning tensorflow keras audio-analysis recurrent-neural-networks feature-extraction convolutional-neural-networks librosa emotion-detection multiclass-classification mel-spectrogram mel-frequency-cepstral-coefficients chroma-features long-short-term-memory-network 1d-convolutional-neural-network

Updated Oct 31, 2024
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ChristianJP / UndergraduateProject_Y3_LSTMSemanticAnalysis

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NFT market analyses using Bi-directional LSTM Recurrent Neural Network (RNN), BERT (transformer) based model & Long Short-Term Memory Network using Text Data from Amazon to classify Negative/Positive Reviews

long-short-term-memory-network

Updated Feb 8, 2023
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SayamAlt / PyTorch-for-Deep-Learning

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This repo covers the source code for training and testing PyTorch models for various tasks such as regression, classification, text generation, image classification, etc. Major types of neural networks have been covered including ANN, CNN, RNN and LSTM.