Roshni's repositories
Roshni-Jhariya
Config files for my GitHub profile.
Nii-Convertor
A python program to convert .nii file formats into 2D images
Cognitive-Samples-IntelligentKiosk
Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
BCDU-Net
BCDU-Net : Medical Image Segmentation
ResUNetPlusPlus
ResUNetplusplus for semantic image segmentation in TensorFlow Keras
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
papers-with-annotations
Research papers with annotations, illustrations and explanations
COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
workshop_cambridge
Content for the workshop in Cambridge 2018