Pinned Repositories
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
BCDU-Net
BCDU-Net : Medical Image Segmentation
CNN-Architectures
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.
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.
Deep_Learning
DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Facial-Keypoints-Kaggle
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
Nii-Convertor
A python program to convert .nii file formats into 2D images
Roshni-Jhariya's Repositories
Roshni-Jhariya/Nii-Convertor
A python program to convert .nii file formats into 2D images
Roshni-Jhariya/AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Roshni-Jhariya/BCDU-Net
BCDU-Net : Medical Image Segmentation
Roshni-Jhariya/CNN-Architectures
Roshni-Jhariya/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.
Roshni-Jhariya/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.
Roshni-Jhariya/Deep_Learning
Roshni-Jhariya/DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Roshni-Jhariya/Facial-Keypoints-Kaggle
Roshni-Jhariya/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
Roshni-Jhariya/Math_resources
Roshni-Jhariya/NLP
Roshni-Jhariya/papers-with-annotations
Research papers with annotations, illustrations and explanations
Roshni-Jhariya/ResUNetPlusPlus
ResUNetplusplus for semantic image segmentation in TensorFlow Keras
Roshni-Jhariya/Roshni-Jhariya
Config files for my GitHub profile.
Roshni-Jhariya/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Roshni-Jhariya/Stock_Prediction
Roshni-Jhariya/workshop_cambridge
Content for the workshop in Cambridge 2018
Roshni-Jhariya/X-Ray-Classification