PyTorch ,ONNX and TensorRT implementation of YOLOv4

Visualizer for neural network, deep learning and machine learning models

Real Time Object Detection on Raspberry Pi using YOLO, Yad2k,

Driver sleep and attention control, phone and smoking detection.

A Python implementation of Yolov5 to detect whether peaple smoking in Jetson Xavier nx and Jetson nano

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Distracted Driver Detection is a computer vision application aimed at identifying and classifying instances of driver distraction in real-time. Using machine learning algorithms, such systems analy…

The Proposed solution is implemented using Python with OpenCV and MobilenetV2, a convolutional neural network architecture. It aims to work a better in mobile phones. It is also known as MobilenetV…

The project aims to use Computer Vision to detect a driver's drowsiness or if the driver is distracted due to a mobile phone using facial landmark detection for driver's eyes.

An application to run on any device can be used as to track driver activity, whether a driver is Distracted or Drowsy and alert the Driver accordingly based on the alert meter. It tracks and detect…

This is a Python implementation of detecting mobile phones while driving using YOLO v5, performed using Kaggle's State Farm Distracted Driver Detection Dataset.

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

Driver drowsiness detection system using deep learning to enhance road safety. Utilizes computer vision and a trained InceptionV3 model to monitor driver's eye state in real-time, alerting when sig…

The driver's drowsiness detection system using TensorFlow and CNN models employs computer vision to analyze real-time images , allowing it to identify signs of driver fatigue and alertness and prov…

SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as…

Official repository of the Pitch-fusion model and the ViSEC dataset

Code for ISIC 2019 Competition

Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the lite…

This is a repository to the testing phase of the ViT model, which is the best model we propose to use in this research.

This project aimed to develop a skin disease image classifier that can identify skin diseases in images uploaded by users. The classifier was integrated into a website where users can upload photos…

Vietnamese Sentiment Analysis Implement with PyTorch

Serving Vistral-7b-Chat model to run on local machine

NTTU Chatbot - A student support chatbot using LLM + Document Retriever (RAG) in Vietnamese

This is the official repository for Vista dataset - A Vietnamese multimodal dataset contains more than 700,000 samples of conversations and images

Vietnamese Large Language Model (LLM) fine-tuned for the task of Question Answering within the medical and healthcare domain