🖼️ Compare deep learning models on the CIFAR10 dataset with an interactive Streamlit app for real-time image classification insights.
Dual-pathway deep QC for brain MRI: DNN on IQMs + ResNet-18 visual artifact extraction. Validated on ABIDE-1 and DS030 with GradCAM artifact localization.
基于 ResNet18 的工业零件表面缺陷智能检测系统，验证集准确率达到 98.33%
Dog breed classification using AWS SageMaker. This project fine-tunes a pre-trained ResNet model with transfer learning, applies hyperparameter tuning, and leverages SageMaker Debugger and Profiler for performance optimization. The trained model is deployed to a real-time endpoint to serve image predictions.
A web-based animal classification system using Zero-Shot Learning and ResNet, built with Flask and PyTorch. This application can classify animals in images without being explicitly trained on them, using semantic embeddings to make predictions.
Used Car Model Classification Project
Easy and Useful ResNet Visualization Tool for AI Researchers and Developers
BrainAI is an advanced web application developed to analyze, classify, and predict brain tumors. By leveraging cutting-edge technologies like data augmentation with Generative Adversarial Networks (GANs), ResNet for tumor type classification, and time series analysis for tumor growth predictions. it helps in early tumor detection.
Cotton disease detection using CNN
Explainable Speaker Recognition system
Detect objects from a webcam in your browser with Cloudflare Workers AI!
The system in this research uses transfer learning to categorise the many forms of weather. These weather conditions are primarily divided into 5 groups: cloudy, sunny, rainy, foggy, and sunrise. High-performance classifiers in artificial intelligence (AI) mostly use deep-learning (DL) techniques.
Demo of Face Recognition web service
Project Website for the Deep Learning Online Seminar at University
🐮 CUAI Deep Learning Study Materials (2020.01 - 2020.03) 🧠
Deploy your Flask web app classifier on Heroku which is written using fastai library.
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