Final Project with Big Blue Data Academy: Forecasting Next-Day Energy Prices for PPC - Regression, Timeseries, LSTM

Poetry Generation Using LSTM

Image caption generator project is automatically describes images with coherent and relevant textual captions.

Deep Learning model for creation of an instrument track in a performer's style from other tracks in a MIDI file.

LSTM (RNN) analysis of Time Series data (pollutant metrics) of 4 different pollutants (NO2, SO2, CO, O3) over US data.

Solving some common problems about RNNs

This project is focused on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells.

Stock Market prediction using LSTM

Deep learning pipeline dealing with audio use cases.

This Project aims to create effective methods to distinguish genuine content from DeepFake creations, safeguarding the integrity of online information.

Solution for Apogee Innovation Challenge Problem Statement of Reflexis

NN, RNN-Text Generation with LSTMs with Keras

RNN used to generate TV scripts.

Datasets for EDA,ML Algo and NLP

Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.

Stock Price Prediction using LSTM & RNN

Examples from scratch using PyTorch