Transformer-based online speech recognition system with TensorFlow 2

This is a repository for the tutorial materials in machine learning (COMP4211) in HKUST.

Recommendation System Using three different approaches Simple Recommendation Using Content based( TF-IDF & Bag of words ), Using KNN and Collaborative Filtering (Item-Item). Explanation:https://www.youtube.com/watch?v=lapsqCrSwCo

A Book Recommendation Engine and Social Platform

Practice/Notes of Machine Learning

A data-driven analysis of movie success factors, including genre popularity, production company performance, language trends, and financial success. This project explores influences on a movie’s ratings, popularity, and revenue through feature engineering, data preprocessing, and visualizations.

Repositório com alguns algoritmos implementados

MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing

Video Background Eraser

This is Our approch for the kaggle Competition for OSIC Pulmonary Fibrosis Progression

A machine learning framework for prediction, optimization, and anomaly detection in DED trace geometrical features using various ML/DL models.

Model to Predict the status of a genetic biomarker important for brain cancer treatment

Assignment

This repository presents a gemstone classification project employing Transfer Learning with MobileNetV2, processing a dataset comprising 3200+ images spanning 87 classes. TensorFlow and Keras facilitated data preprocessing, augmentation, and model training. Through fine-tuning and leveraging pre-trained features.

This repo contains the solution to the Sparks Foundation Internship problem.

Automatically adding comments to go functions, type, constantes and variables

Asignaturas del Grado en Ingeniería Informática de la Universidad de Granada (UGR).

🎓 Collection of academic resources, projects, and exercises related to artificial intelligence concepts learned in university coursework.

R/Shiny App for real-time, multimodal (pupillometry, motor) prediction of cognitive states using XGBoost and explainable AI (XAI).