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)

FFNNs, GNNs & Transformers (BERT, UniXcoder) for malware detection, zero-day NIDS and MITRE ATT&CK tactic classification.

Deep Learning for file type Identification in Digital Forensics. We use the first, body, and last blocks of bytes on the disk to account for all possible scenarios and train the FFNN, CNN, GRU, and LSTM models. Afterward, we make predictions and evaluate the performance of each model.

Early mouse gesture recognition experiments / Delphi

Feed Forward Neural Network for Sentiment Classification and Language Modeling

Implementations of various deep learning pipelines

Simple FFNN using C++

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

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

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.

Feedforward Neural Network (FFNN) from Scratch

GlucoTrack is a machine learning and deep learning project focused on predicting a person’s risk level of diabetes

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

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.

A simple and fast feed forward neural network library.

Feed Forward Neural Network (Regression)

Feed-Forward Neural Network-Based Face Classifier Model with Histogram of Oriented Gradients Feature Extraction

This repository introduces Artificial Intelligence with a focus on Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN). Initially intended as supplementary lecture material, it helps readers understand LSTM-RNN and its evolution since the 1990s. Modern research on LSTM-RNN uses updated notations and more concise derivations.