magesa Goto Github PK

2022-malaria-detection-with-ml-kit

Malaria is a life-threatening disease that is spread by the Plasmodium parasites. It is detected by trained microscopists who analyze microscopic blood smear images. Modern deep learning techniques may be used to do this analysis automatically. The need for the trained personnel can be greatly reduced with the development of an automatic accurate and efficient model. In this article, we propose an entirely automated Convolutional Neural Network (CNN) based model for the diagnosis of malaria from the microscopic blood smear images. A variety of techniques including knowledge distillation, data augmentation, Autoencoder, feature extraction by a CNN model and classified by Support Vector Machine (SVM) or K-Nearest Neighbors (KNN) are performed under three training procedures named general training, distillation training and autoencoder training to optimize and improve the model accuracy and inference performance. Our deep learning-based model can detect malarial parasites from microscopic images with an accuracy of 99.23% while requiring just over 4600 floating point operations. For practical validation of model efficiency, we have deployed the miniaturized model in different mobile phones and a server-backed web application. Data gathered from these environments show that the model can be used to perform inference under 1 s per sample in both offline (mobile only) and online (web application) mode, thus engendering confidence that such models may be deployed for efficient practical inferential systems.

ai-deeplearning-python-vectorization-demo

ai-programmer

Using artificial intelligence and genetic algorithms to automatically write a program, in the BrainF programming language. Read the tutorial at http://www.primaryobjects.com/cms/article149

ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

angular

angular-drop

Drag & Drop functionality in AngularJS, no jQuery required

angular-meteor

Angular and Meteor - The perfect stack

angular.js

HTML enhanced for web apps

angularui-router-app

A Simple(SPA) App that utilizes the AngularUI Router Module to change views based on the state of the application ( as opposed to the ngRoute Module) which changes the view depending on the route of the URL.

apollo-11

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

awesome-angularjs

:cyclone: A list of awesome AngularJs services, directives, utilities and resources.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

benchpress

bet-on-sibyl

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

blood-smears-image-segmentation-using-gan-networks

brain.js

🤖 Neural networks in JavaScript

burma

mentorship and coaching notes and guides

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chrome

Chrome Dockerfile for trusted automated Docker builds.

cognizer

R package to call IBM Watson services.

conversationai-models

A repository to house model building experiments and tools that are part of the Conversation AI effort.

covid-19

dashboard to monitor the COVID-19 pandemic

covid-caps

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

covid-net

COVID-Net Open Source Initiative

crop_yield_prediction

Crop Yield Prediction with Deep Learning

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

dat210x

Programming with Python for Data Science Microsoft

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deep-learning-models

Keras code and weights files for popular deep learning models.