snail

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Voice Activity Detection LSTM-RNN learning model

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. ?Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)

Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.

Approximate forward models of fluxes and spectra time-series of non-uniform stars

MSc project investigating multi-modal fusion approaches to combining textual and visual features for multi-page classification of documents within the OGA National Data Repository (NDR).