Prajwal10031999/Stock-Price-Prediction-And-Forecasting-Using-Stacked-LSTM

Stock-Market-Forecasting using DEEP LEARNING

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fork123aniket/Abstractive-Text-Summarization

Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization

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rudrajikadra/Stock-Market-Prediction-and-Forecasting-Using-Stacked-LSTM

Stock market prediction of a stock using stacked LSTM

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debasishray16/Stock-Prediction-Models Fork of gamecoder08/Stock-predictor-models

This repository is created to store different trained model and their results of executions in a structured manner according to their timeline and value.

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bjam24/comparative_analysis_of_lstm_variants

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ZubayerOjhor/Stock_Price_Prediction_using_Stacked_LSTM-and-ARIMA

Microsoft Stock Price (closing) Prediction using Stacked LSTM and ARIMA (6,1,6) models

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salimt/Ankara-House-Price-Prediction-Analysis

Predicting house prices using Ridge, SVR, GBR, XGBoost, LightGBM, Random Forest and Stacked CV

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jfilter/text-classification-keras 📦

📚 Text classification library with Keras

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sonu275981/Google_Stock_Price_Prediction-And-Forecasting-Using-Stacked-LSTM

Google_Stock_Price_Prediction-And-Forecasting-Using-Stacked-LSTM

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somesh-bagadiya/Stock-Market-Prediction-Using-Stacked-LSTM-s

This repository contains an implementation of Stock Market prediction using Stacked LSTMs.

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aparajitad60/Stacked-LSTM-for-Covid-19-Outbreak-Prediction

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early prediction new Coronavirus dissease infections in some of the mentioned affected countries (India, USA, Czech Republic and Russia) , which is based on real world data sets which are analyzed using various perspectives like day-wise number of confirmed cases, number of Cured cases, death cases. This attempt has been done to help the concerned authorities to get some early insights into the probable devastation likely to be effected by the deadly pandemic.

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Vineet214/TimeSeriesForecasting-LSTM

Univariate Time Series Forecasting by LSTM

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VidhyaGupta/Stock-Price-Prediction

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alexaapo/Bidirectional-stacked-RNN-with-LSTM-GRU

Sentiment Classifier using a bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset

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ravis2114/Hindi-Song-Lyrics-Generation

stacked lstm model is trained on more than 7k hindi songs sequences to generate meaningful lyrics upto 20 words.

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hiepnguyen034/Speech_Generator

generate formal speeches using language modeling

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awiksshiith-narang/movie_review_sentiment_analysis

This GitHub repository contains the code for performing sentiment analysis on movie reviews. The dataset used for training and evaluation is sourced from Kaggle, ensuring a diverse and comprehensive collection of movie reviews.

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nezamtrm/time_series_prediction-using-stacked-LSTMs

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ShreeCharranR/Deep-Learning---Text-Classification

LSTM , CNN

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anshulsingh8101/Tiingo-stock-using-Stacked-LSTM

Made the stock prices to be predicted from a 5 years dataset from TIINGO of APPLE company and worked on the next 30-day prediction. The final output made after applying 3 stacked layers of LSTM and a dense layer gave me a model with a rmse value of 284.

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M0hammad-Kashif/JPX-Tokyo-Stock-Exchange-Prediction

This repository contains `JPX Tokyo Stock Exchange Prediction`.

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Suhanip/Multimodal-Meme-Classification

Identifying offensive content in image and text

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manasik29/Stock_Market_Foreasting_Prediction_APPLE_Stock

Forecasting and Prediction of Apple stock by creating a stacked LSTM model on previous data and trying to predict new stock price.

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pcostam/exploratory

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aryanblouria/abstractive-text-summarization Fork of arohan-mishra/Abstractive-summarization-using-stacked-LSTM-and-Attention-mechanism

Academic project for CSE4022 - Natural Language Processing

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oskopek/cil

Text Sentiment Classification (Computational Intelligence Lab, ETH Zurich, 2018)

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Tharun-tharun/Stock-Prediction-Using-LSTM

Stock values are very valuable but extremely hard to predict correctly for any human being on their own. This project seeks to solve the problem of Stock Prices Prediction by utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict future stock values

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ASH1998/Comparison-of-different-types-of-LSTM-models

This is a repo that compares the vanilla, stacked, CNN, encoder-decoder, bidirectional LSTMs

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