As part of the Thesis project, an Artificial Intelligence model was trained to classify breast tumors from ultrasound images as benign or malignant. Additionally, a user-friendly web application was created with Python for the backend and ReactJS for the frontend.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

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)

Unet++ with ELU activision as Decoder and NasNet mobile

PyTorch image classification models pre-trained

Benchmarking various Computer Vision models on TinyImageNet Dataset

A transfer learning model, based on NASNetLarge, used for tagging a wide variety of images. Includes a web-based UI to run the trained model.

ImageClassifier-Keras Custom Image Classifier using Custom model and pre-trained models like MobileNet, VGG, ResNet, EfficientNet,..etc with help of Tensorflow and Keras

Estimating the age from images while tacking the bias with respect to the protected attributes (Age, Gender, Ethnicity, Face Expression)

Pneumonia_X_ray transfer learning

Classification models trained on ImageNet. Keras.

Neural Image Assessment, a tool to automatically inspect quality of images.

A nasnet in tensorflow

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)

A list of popular deep learning models related to classification, segmentation and detection problems

Gluon to PyTorch deep neural network model converter

Web app to classify images with nasnetmobile

MATLAB Fashion Classification with Deep Learning.

High level network definitions with pre-trained weights in TensorFlow