Machine Translation using LSTMs

Naive Image Captioning

Sentimental Analysis of Movie Reviews Using Pytorch

Using LSTMs to crack ciphers such as caesar cipher, vigenere cipher and enigma

This repository contains the work done as part of my B.Tech Project

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Layer-wise Relevance Propagation (LRP) for LSTMs.

Stock Market Prediction & Trading Bot using AI

Built a stock prediction program in which the user can pick any company available on Yahoo! Finances and be able to predict the closing price of the stock based on the set date with high accuracy.

State-of-the-art text classfication and language modelling in Hindi.

masters thesis on deep learning methods for speech enhancement

Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were explored such as sentiment analysis to use as features in the model.

Emotions dataset for NLP classification tasks.

The idea is to develop a machine learning program to identify when an article might be fake news.

These are the notebook assignments from the deeplearning.ai Tensorflow course on coursera.

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

Text Extraction with POS Tagging and Deep Learning(LSTMs)

This repo contains all of my submissions to Kaggle competitions or datasets