Neural Arabic text diacritization

The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).

Bimodal and Unimodal Sentiment Analysis of Internet Memes (Image+Text)

Early mouse gesture recognition experiments / Delphi

Feed Forward Neural Network for Sentiment Classification and Language Modeling

Implementations of various deep learning pipelines

Face Recognition by Eigenface method with the trained Feed Forward Neural Network and other classifiers applied to biometric attendance system functional on static-images.

Simple FFNN using C++

Revolutionize text summarization with this Transformer model, leveraging state-of-the-art techniques. Trained on news articles, it produces concise summaries effortlessly. Explore cutting-edge capabilities for your summarization needs.

Basic neural network in Python.

A repository of assignments performed during the Advanced Machine Learning course.

A simple and fast feed forward neural network library.

Analyze the active regulatory region of DNA using FFNN and CNN

A repository with Advanced Machine Learning Course Assignments (FFNN, AutoEncoders, CNN, TL, HPO)

A feed forward neural network (FFNN) is built to recognize the gray-scale images of hand-drawn digits from zero through nine using tensorflow.

Web UI for the data behind PicPic, an automatic image selection tool for news articles

brainz

A Face Detection and Recognition system based on Eigenface method

Classification of acronyms and their long forms using an RNN (LSTM), CNN, and FFNN model. The experiments focused on the RNN and used different vectorisation methods and hyperparameters. Models were built with Keras and the notebook code runs on Google Colab.

Consists of different types of machine learning models.