Coherent text generation with limited training data

Rnn (vanial, GRU and LSTM) from scratch

Gated Recurrent Unit implementation from scratch

Implementation of Dynamic Memory Networks for QA System using Tensorflow

A RNN based voice application which can do tasks when it recognizes the user speaking the Trigger word. Here the trigger word is "activate".

Stock Price prediction for Yahoo Inc. using GRU (Gated Recurrant Units) in Keras. Predicting closing price for Yahoo stocks

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

This repository contains Jupyter Notebook Files of some state of the art projects that I completed during my internship program in deeplearning.ai. The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.

Recurrent Neural Network for generative MIDI music

A simple figure of speech classifier made in a jupyter notebok using keras. Gated Recurrent Units are used inplace of LSTM's becuase of little data.

Predictes the posible full word based on given partial text.

This repository contains all the work done by me for Coursera's Deep Learning Specialization.

Image classification using CNN

Construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wakeword detection).

A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is present in front of him or not.

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Relationship Extraction using a Bi-directional GRU v/s CNN with multiple layers and max-pooling

👨🏻‍💻 My own repository to explore LearnQuran tech product in particular -obviously- AI stuffs

Implementation of the paper "Show and Tell: A Neural Image Caption Generator" by Vinyals et al. (CVPR 2015)

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.