Saurav Mishra's repositories
Heart-Failure-Condition-And-Survival-Analysis
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.
U-Net---Biomedical-Image-Segmentation
Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597
Malaria-Detection-Using-Deep-Learning-Techniques
Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.
UNet-Plus-Plus---Brain-Tumor-Segmentation
Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165
Bio-Medical-Image-Analysis-with-DICOMs
Understanding the biomedical coordinate systems and DICOM format for deep learning medical image analysis
Python-GUI-with-PySimpleGUI
Exploring & Creating GUI based apps using PySimpleGUI. Details about PySimpleGUI module can be found @ https://pypi.org/project/PySimpleGUI/
Tic-Tac-Toe-using-PySimpleGUI
tic-tac-toe Game using PySimpleGUI
Covid-19-Detection-using-Deep-Learning
An AI and Deep Learning based solution to help diagnose the presence of Covid-19 infection by analyzing the chest X-Ray images.
EfficientNet-Image-classification-via-fine-tuning-with-EfficientNet
Use EfficientNet with weights pre-trained on imagenet for Stanford Dogs classification.
Inception---Going-Deeper-with-Convolutions
Inception - Going Deeper with Convolutions
NotepadPy-using-PySimpleGUI
A notepad like application developed using the Python and PySimpleGUI framework.
EXPLAINABLE-AI---Skin-Cancer-Detection-explained-with-GRADCAM
Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regions in the image for considered for arriving at the decision. The original paper for GRADCAM can be found @ https://arxiv.org/abs/1610.02391
POS-TAGGING-NLP
HMMs and Viterbi algorithm for POS tagging.
Saurav.Hello.World
My Personal Web Space. A clean, beautiful, responsive personal web app template for Software Developers by a software developer developed using React JS.
AI-For-Medicine
https://www.deeplearning.ai/ai-for-medicine/
Artificial-Intelligence-A-Review-of-Progress-and-Prospects-in-Medicine-and-Healthcare
This paper discusses about the progress AI has made in the healthcare domain and what the future of AI looks like. It also discusses about the implementation opportunities various AI technologies provide in various fields of healthcare & clinical workflow, how AI systems will boost healthcare to restore human touch in patient-physician encounters.
Batch-Normalization-and-Internal-Covariate-Shift
Batch Normalization: Accelerate Training by Reducing Internal Covariate Shift - Paper Review
Face-Mask-Detection
With the Covid-19 Pandemic, wearing of the face masks have become mandatory across the globe. Thus, an AI application that would enable the aumomatic detection if a person is wearing mask / or not will be benificial in areas such as automatically controlled (unmanned) entry gates at various places. A camers based application could flag-off persons not wearing mask and thus not allow entry.
Hand_Gesture_Recognition
Develop a feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.
Image-Classification-with-React-and-Tensorflow-js
A simple image classification app created using tensorflow-js and react. The app uses the pre-built MobileNet v2 model for image classification without going through any additional training process.
JS-Essential
This repository is for the Linkedin Learning course: JavaScript Essential Training
Kyra---Your-Foodie-Assistant
A conversational bot which can help users discover restaurants across several Indian cities
learning-tensorflowjs-powerful-machine-learning-in-javascript
The code for the book Learning TensorFlow.js by Gant Laborde - Published by O'Reilly Media
Object-Detection-and-Semantic-Segmentation---RCNN
Object Detection and Semantic Segmentation
oci-data-science-ai-samples
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
OpenCV-Playground
My explorations and leanings with OpenCV
sauravmishra1710
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