Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018

Learn to code deep learning algorithms

Deep Learning model to tackle the Fake News Challenge

Can sarcastic sentences be identified?

Scorpion Anti-malware official repository

Deep Learning for Approximate String Matching

This project is about to detecting the text generated by different LLM given prompt. The instance is labeled by Human and Machine, and this project utilised both traditional machine learning method and deep learning method to classify the instance.

Build Bi-directional GRU to predict the degradation rates at each base of an RNA molecule which can be useful to develop models and design rules for RNA degradation to accelerate mRNA vaccine research and deliver a refrigerator-stable vaccine against SARS-CoV-2, the virus behind COVID-19.

Siamese Manhattan Bi-GRU for semantic similarity between sentences

A Django Application Interface for Hate Speech Detection Mini Project

[ Thesis Part ] automatic distributed parallel training for bidirectional gated recurrent unit (BiGRU)

Deep learning models and fine-tuned transformers for detecting mental illness from user content on Reddit. 🧠

"Detect toxic content to improve online conversations"

Successfully developed a Named Entity Recognition (NER) model using a Bidirectional GRU with Attention on the MIT Movies dataset to identify and classify movie-related entities like titles, actors, and genres.

bi-rnn language model

Sentiment analysis (text mining and opinion mining) uses Natural Language Processing to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.

CineMood AI is an AI-powered movie review sentiment analysis tool built using Streamlit and TensorFlow. It classifies user-submitted movie reviews into different sentiment categories, ranging from extremely positive to strongly negative. The app features a sleek UI, animations, and an interactive confidence meter for better user engagement.

A dual-approach English to Arabic translation system implementing both custom Bidirectional GRU neural networks and pre-trained Hugging Face transformer models with performance visualization and comparison.

Sentiment analysis using different types of Bidirectional Recurrent Neural Networks on Amazon reviews dataset. The results are confronted with two baseline models which are an SVM and a RF model.