Pramodha M's Projects
An images classification project that measure the abillity to classify histological images using a CNN, based on RNA levels of different genes.
Biomedical Image Segmentation via RMSPP-UNet
Covid-19 Detection Experiments
early detection method for parkinson's disease using deep ensemble learning on MRI dataset
Hands-On Deep Learning Algorithms with Python, By Packt
Learn how to code your own neural network in Python, then deploy it in an Image Classification App using TensorFlow Lite.
This repo contains a Jupyter notebook of machine learning models for income class prediction using 1994 US Census data from UCI machine learning repository
For the protection of natural resources, plants are of central importance. Identification of plant species offers important knowledge on the categorization and properties of plants. Many plants are richly having medicinal ingredients and contain medicinal active ingredients. The identification of these plants is immediately necessary because of the need for mass production. The manual identification of medicinal plants takes time and the assistance of plant identification experts is necessary. To solve this problem, it is essential for human beings to automatically recognize and classify medicinal plants. Among AI technologies, deep learning has demonstrated strong performance in many automated image-recognition applications. The aim of this study was to develop and test a deep learning system capable of Identification of Medicinal Plant.
A collection of notebooks for Natural Language Processing from NLP Town
Repository containing all source files and assignments from Pattern Recognition classes at college.
A collective list of free APIs
Repository to store sample python programs for python learning
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Quantum-classical hybrid convolutional neural network for classical image classification
FuQdan is a quantum computing algorithm that acts as a binary classifier for MRI scan images. The goal of this project is to classify MRI scan images as with dementia or no dementia. By leveraging the power of quantum computing, we aim to provide a more efficient method for analyzing MRI scans in terms of space complexity.
A repository of resources used in our tutorials and guides ā”ļø
Getting started for running automation testing on Kobiton platform
Skin Disease Detection web app predict the skin disease from a single image in less than one second.
Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.
Stock Price Prediction case study using Keras
Materials associated with theText-mining for Social Science Research training series
Udacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.