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)

Feed Forward Neural Network for Sentiment Classification and Language Modeling

Implementations of various deep learning pipelines

Early mouse gesture recognition experiments / Delphi

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.

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.

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

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

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.

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.

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.

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

Fully Connected Forward Feed Neural Network

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

Analyze the active regulatory region of DNA using FFNN and CNN

Designed and implemented POS taggers using Feed Forward Neural Networks and LSTMs and evaluated them using accuracy, f1 score and confusion matrix. Did extensive hyperparameter tuning to achieve high performance. INLP Assignment, Monsoon '24.