Pinned Repositories
modal-examples
Examples of programs built using Modal
Detection-and-Classification-of-Alzheimers-Disease
The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alzheimer’s is one of kind and fatal. The early detection of Alzheimer’s Disease because of it’s progressive risk and patients all around the world. Early detection of AD is promising as it can help lot of patients to predetermine the condition they may face in future. AD being progressive, can be prevented if detected early. On worse stage, the curing of this disease is very difficult and expensive. So, by analyzing the consequences of AD, we can make use of Artificial intelligence technology by using MRI scanned images to classify the patients if they may or may not have AD in future. Using of Bio-inspired algorithm can maximize the result and accuracy for this purpose. After comparing the results of the various AI technologies, CSA came to be the best approach, using it with ML algorithms.
ethnicity-pytorch
A pytorch implementation for predicting nationality and ethnicity of a person through names.
Image-augmentation
NERD
Interactive modules for NER and Text Classification
OCR-sliding_window-pytorch
An OCR using the sliding window approach
on_field_gear_compliance
Personalised-Diabetes-Assistant
A smart solution for maintaining optimal sugar levels using a web-app that integrates with a smartwatch. The app provides recommendations on insulin dose and calories one needs to burn to maintain optimal blood glucose control.
self-implementations
Sentence_embed_autoencoder-pytorch
Creating the sentence embedding using the auto-encoders in Pytorch
rustagiadi95's Repositories
rustagiadi95/ethnicity-pytorch
A pytorch implementation for predicting nationality and ethnicity of a person through names.
rustagiadi95/Sentence_embed_autoencoder-pytorch
Creating the sentence embedding using the auto-encoders in Pytorch
rustagiadi95/Image-augmentation
rustagiadi95/OCR-sliding_window-pytorch
An OCR using the sliding window approach
rustagiadi95/Detection-and-Classification-of-Alzheimers-Disease
The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alzheimer’s is one of kind and fatal. The early detection of Alzheimer’s Disease because of it’s progressive risk and patients all around the world. Early detection of AD is promising as it can help lot of patients to predetermine the condition they may face in future. AD being progressive, can be prevented if detected early. On worse stage, the curing of this disease is very difficult and expensive. So, by analyzing the consequences of AD, we can make use of Artificial intelligence technology by using MRI scanned images to classify the patients if they may or may not have AD in future. Using of Bio-inspired algorithm can maximize the result and accuracy for this purpose. After comparing the results of the various AI technologies, CSA came to be the best approach, using it with ML algorithms.
rustagiadi95/NERD
Interactive modules for NER and Text Classification
rustagiadi95/on_field_gear_compliance
rustagiadi95/Personalised-Diabetes-Assistant
A smart solution for maintaining optimal sugar levels using a web-app that integrates with a smartwatch. The app provides recommendations on insulin dose and calories one needs to burn to maintain optimal blood glucose control.
rustagiadi95/self-implementations
rustagiadi95/Student-Result-Management