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UIT
- Ho Chi Minh City, Viet Nam
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13:24
(UTC +07:00) - in/quanhoangngoc
- @QuanHoangNgoc-yu9uo
- https://www.kaggle.com/quanhoangngoc
- https://huggingface.co/QuanHoangNgoc
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Mẫu báo cáo KLTN bằng latex trường Đại học Công nghệ Thông tin - ĐHQG.TPHCM VNUHCM-UIT (tham khảo)
Startup tips from UIT competition<:3
Docs and process that learning scientific skills
PGPg_finder is a command-line tool that offers different workflows for genome and metagenome annotation of Plant-Growth Promotion Genes. It's designed to be flexible and easy to use pipeline, with …
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
QuanHoangNgoc / jd-assistant
Forked from hoaphamduc/jd-assistantLuyện phỏng vấn vui vẻ nhé mọi người
A state-of-the-art deep learning model for emotion classification in text, achieving up to 88% accuracy on the Emotion dataset. This project leverages BERT tokenization and a custom CNN architectur…
This repository contains the Hugging Face Agents Course.
QT-FIRS (Flexible Interactive Retrieval System) is an advanced Content-Based Image Retrieval (CBIR) system designed to retrieve images based on textual queries. The project integrates state-of-the-…
This project explores AI-driven anomaly detection techniques using supervised and unsupervised learning methods. The goal is to detect unusual patterns in data that may indicate fraud, cyber threat…
This project is part of the Child Mind Institute Problematic Internet Use Competition. It aims to predict the Severity Impairment Index (SII) associated with internet addiction using physical and b…
This project compares the object detection performance of two models: Faster-RCNN and YOLOv8. The tasks involve evaluating the models on pedestrian images, analyzing detection confidence for specif…
Our project applies data-driven techniques and machine learning to analyze stroke risk factors and develop predictive models. We built a Minimal Viable Product (MVP) to provide risk predictions, re…
This project implements MobileNetV1 to classify images from the Caltech101 dataset using TensorFlow and Keras. The model is trained with different configurations to evaluate its performance.
This project focuses on object localization using the Caltech-UCSD Birds 200 (CUB) dataset, a widely used benchmark for fine-grained visual recognition tasks.
This project consists of two analytical labs focusing on Ho Chi Minh City's population distribution and user interest hotspots.
This project explores the implementation of search algorithm Depth-First Search (DFS), Breadth-First Search (BFS), and Uniform Cost Search (UCS) to solve the Sokoban game, which is modeled as a sea…
This project focuses on transforming raw data into a clean and ready-to-use format, essential for building accurate and robust machine learning models.
This project implements a complete machine-learning pipeline for dataset analysis, feature selection, and model tuning.
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This repository is a comprehensive project for trajectory data analysis.
This project implements a CSV-Based Image Viewer and Search Engine that allows users to search images based on text queries or specific components. Users can explore and manage images from a datase…