This project is a Rock-Paper-Scissors image classification using a convolutional neural network (CNN) built with TensorFlow and Keras. The model is trained to classify images into three categories: rock, paper, or scissors.

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!

This repository tracks my learning journey in deep learning. It includes various projects and insights, showcasing my progress and enthusiasm for this field.

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

A library for PyTorch convolution layer visualizations.

ParkSketch is an AI-based web application that can diagnose Parkinson’s disease using hand-drawn images, requiring only a pencil and white paper.

This is the sixth project for the AI Engineering Master. It has the purpose to to develop and implement an advanced food image classification system, using cutting-edge deep learning techniques: data augmentation and transfer learning with PyTorch, GRAD-CAM, user-friendly GUI.

This repository contains a Brain-Tumor-MRI Image segmentation notebook file along with the Dataset and Research paper link.

A Deep Learning Toolkit for Protein Property Prediction, Localization Prediction, Protein-Protein Interaction, antigen epitope prediction, antibody paratope prediction, antibody developability prediction, etc. [NeurIPS 2024 AIDrugX Spotlight]

Project 2 for the course Introduction to Deep Learning in Computer Vision

A repository that implements some proposed methods from popular conference from scratch.

A neural network model for Audio Segmentation and Sound Event Detection tasks, inspired by original YOHO model by Venkatesh S. et al.

will soon

2024 NTU CommE DeepMIR HW2

PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.

PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.

World Bank commissioned Group Project | Project Finance Analysts use quantitative tools to assess potential investments. This project leverages CNNs to efficiently extract road attributes in LMICs.

基于 ResNet 的花卉分类识别系统

Heterogeneous dynamic convolutional network in image super-resolution (HDSRNet)

reference pytorch code for intent classification