Cataract detection model

Official Repository for the paper "Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend".

Accurate image classification powered by InceptionV3 deep learning model. Quickly classify diverse images with high precision using TensorFlow.

Various codes and scripts used during AI research. Orginally developed in the Binary_label_predictions_with_CNNs repository

Various codes and scripts used during AI research, all neatly organised

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

AI油画分析引擎

InceptionV3 based image classifier

Implementation and results from "Beyond GOTEX: Using Multiple Feature Detectors for Better Texture Synthesis"

Our project focuses on the development of an advanced X-ray anomaly detection system utilizing cutting-edge AI technologies. Leveraging the powerful Inception V3 model architecture implemented in TensorFlow, we aim to enhance medical diagnosis accuracy using the MURA dataset. By harnessing deep learning techniques, we empower healthcare profession

Project that detects the brand of a car, between 1 and 49 brands, that appears in a photograph, with a success rate of more than 70% (using a test file that has not been involved in the training as a valid or training file, "unseen data") and can be implemented on a personal computer

Keras model of NSFW detector

cigarette detector

Comparitive analysis of image captioning model using RNN, BiLSTM and Transformer model architectures on the Flickr8K dataset and InceptionV3 for image feature extraction.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Deep learning models for ChargeWare Hackaton Project

InceptionTime: Finding AlexNet for Time Series Classification

OpenPicPal is an open-source tool for image training and automatic classification. 基于InceptionV3基础模型的图片训练和自动分类工具。

Teachable Machine provides an intuitive and user-friendly way to create machine learning models for images classification tasks. It allows you to train models directly in your browser by providing examples of different classes and labeling them accordingly. The models can then be exported and used in various applications.

Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.