roshni-jhariya Goto Github PK

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

math_resources

nii-convertor

A python program to convert .nii file formats into 2D images

nlp

papers-with-annotations

Research papers with annotations, illustrations and explanations

resunetplusplus

ResUNetplusplus for semantic image segmentation in TensorFlow Keras

roshni-jhariya

Config files for my GitHub profile.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

stock_prediction

workshop_cambridge

Content for the workshop in Cambridge 2018

x-ray-classification