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AB00k / 6-Complete-NLP-tutorial-GRU-LSTM-RNN-Sentiment_Analysis

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This repository contains the complete tutorial with implementation of NLP and from scrach implementation of GRU and LSTM and RNN architectures in pytorch. Imbd data set used for sentiment analysis on each of these architectures. And also have the implementation of concepts like embeddings etc.

nlp data-science deep-learning sentiment-analysis recurrent-neural-networks embeddings lstm-neural-networks pytorch-implementation gru-neural-networks
  • Updated Jul 5, 2023
  • Jupyter Notebook

giannhskp / Artificial-Intelligence-II_Natural-Language-Processing

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Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

question-answering softmax-regression bert lstm-neural-networks newsqa sentiment-classification recursive-neural-networks triviaqa feed-forward-neural-networks bert-model natural-questions squad-dataset gru-neural-networks bert-fine-tuning quac-dataset
  • Updated Mar 24, 2022
  • Jupyter Notebook

Omar10lfc / Neural-Network-Project-Weather-Forcasting

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In this notebook a weather prediction workflow is implemented using deep learning models (LSTM and GRU). It involves data preprocessing, exploratory data analysis (EDA), model training, and evaluation using historical weather data. The goal is to compare the performance of LSTM and GRU networks in forecasting weather conditions based on past trends

deep-learning lstm-neural-networks time-series-analysis gru-neural-networks
  • Updated Apr 1, 2025
  • Jupyter Notebook

ShashankB2103 / Analysing-Phishing-Dataset-

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his project utilizes deep learning models (ResNet, LSTM, and GRU) to detect phishing attacks in Android environments. A 50-feature dataset was analyzed to classify phishing emails, with ResNet achieving 97.6% accuracy, outperforming traditional ML models. The study demonstrates deep learning's potential for real-time phishing detection in security

deep-learning resnet lstm-neural-networks phishing-detection gru-neural-networks
  • Updated Feb 9, 2025
  • Jupyter Notebook

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