Papers covering a few of my Deep Learning Projects.

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

Deep RNN model(Encoder - Decoder) with Attention mechanism and Beam Search decoding for langauge translation.

simple poem generator

English to French Translation using Recurrent-Neural-Networks

RNN-LSTM model that classifies movie reviews

Projects for the Computer Vision Nanodegree

En utilisant, un RNN (réseau de neurones récurrents), je vais générer de la musique du style du groupe ‘The Chainsmokers’ c’est-à-dire de la musique POP.

sequence to sequence model using tensorflow

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A self-driven project utilizing ARIMA, Seq2Seq, and XGBoost to help design the COVID19 forecasting algorithm. Data sources are from Kaggle Competition and JHU CSSE.

Assignment 2: Neural Machine Translation in 'Statistical Machine Translation' course by Dr. Roee Aharoni at Bar-Ilan University.

Code and text for my master thesis

End-to-end text-to-speech synthesis based on deep learning

chatbot using tensorflow

LSTM/RNN model to predict activity on GitHub and to guide repository interaction to success.

iPython notebooks for teaching and mishmash

In this repo you can find implementations of advanced deep learning using Keras and Tensorflow like NLP using GloVe model, Autonomous driving application using YOLO, Trigger word detection model using LSTM, Neural machine translation and others deployed in the Deep Learning Specialization of deeplearnin.ai in Coursera