📚 Text classification library with Keras

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 glo…

Stock-Market-Forecasting using DEEP LEARNING

Stock market prediction of a stock using stacked LSTM

Identifying offensive content in image and text

Univariate Time Series Forecasting by LSTM

End-to-end time series analysis and forecasting of monthly sunspot numbers using classical machine learning and deep learning models, including linear regression, tree-based methods, and advanced PyTorch architectures.

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

This repository contains `JPX Tokyo Stock Exchange Prediction`.

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.

Multivariate Time Series ARIMA and LSTM Models Forecasting Indonesian Bank Stocks (BBCA, BBRI, BMRI)

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

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

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

LSTM , CNN

Academic project for CSE4022 - Natural Language Processing

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

Market-Forecasts delivers weekly crypto forecasts via proprietary algorithmic analysis and chart visuals for BTCUSDT, ETHUSDT, and major pairs 🐙.

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