Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3

Sentiment analysis models using NLP and other important basics of NLP and subwords......

A repository containing the deep learning-based geomagnetic storm forecasting model development codes

Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

A neural machine translator for Vietnamese.

Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism

This repository contains a collection of NLP experiments conducted using PyTorch library. The project explores various techniques such as regression, text generation, and BERT embeddings.

This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.

Predicting Forex direction - Capstone Project 2024 Advanced Data Analytics @ HEC Lausanne

applying different RNN architecture to build character prediction model and a word based prediction model these model are trained on data of specific topics from wikipedia

Arabic text regression with various models, GPT-2 text generation, and BERT-based text classification.

A deep learning project on stock index prediction using Gated RNN with TPE-Bayesian optimization for hyperparameter tuning

Challenging Memory-based Deep Reinforcement Learning Agents

Molecular substructure graph attention network for molecular property identification in drug discovery. This is the starting point for my thesis project and is the fork of a repository from the paper https://doi.org/10.1016/j.patcog.2022.108659

The objective of this project was to construct LSTM and GRU binary classifier models that could predict the class of input enzyme sequences.

Implementation of a robust ECG abnormality classification model for PhysioNet Challenge 2024.

Click below to checkout the website

PredictBay aims to revolutionize decision-making in investment strategies through intelligent forecasting. Our platform utilizes advanced machine learning algorithms to provide accurate predictions for stocks .