magesa

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

brain.js

🤖 Neural networks in JavaScript

CycleGAN

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

HackerRank-Ruby-Each.rb

A Ruby control structure that lets you iterate through its collections using the each control structure.

keras

Deep Learning for humans

MEAN-Stack-Blog

This MEAN Stack Blog is an implementation of a blogging platform which employs all the technologies that comprise the JavaScript MEAN Stack.

microscopy-object-detection

Mobile point-of-care lab diagnostics

mobile-microscopy

Automated laboratory diagnosis for mobile devices

mongo

The Mongo Database

raml-spec

RAML Specification

magesa/keras

Deep Learning for humans

magesa/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.

magesa/AI_Startup_Prototype

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

magesa/Blood-Smears-Image-Segmentation-using-GAN-Networks

magesa/conversationai-models

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

magesa/covid-19

dashboard to monitor the COVID-19 pandemic

magesa/COVID-CAPS

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

magesa/COVID-Net

COVID-Net Open Source Initiative

magesa/dlaicourse

Notebooks for learning deep learning

magesa/DLVR---Deep-Convolutional-Neural-Networks-for-Microscopy-Based-Point-of-Care-Diagnostics

magesa/dronecoria

Automatic Forest Restoration

magesa/examples

TensorFlow examples

magesa/fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

magesa/Hands-On-Computer-Vision-with-TensorFlow-2

Hands-On Computer Vision with TensorFlow 2, published by Packt

magesa/machine-learning-yearning

Translation of <Machine Learning Yearning> by Andrew NG

magesa/Malaria-Diagnosis-DTGCN_2021

Codes for Deep Transfer Graph Convolutional Network

magesa/Malaria-Imaging-Code

magesa/MalariaScreener

Official repository for Malaria Screener

magesa/Mastering-Computer-Vision-with-TensorFlow-2.0

Mastering Computer Vision with TensorFlow 2.0, published by Packt

magesa/models

Models and examples built with TensorFlow

magesa/opentrace-android

OpenTrace Android app. Reference implementation of the BlueTrace protocol.

magesa/pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

magesa/Python

All Algorithms implemented in Python

magesa/rapping-neural-network

Rap song writing recurrent neural network trained on Kanye West's entire discography

magesa/seaborn-data

Data repository for seaborn examples

magesa/Seq2Seq-Vis

Visualization for Sequential Neural Networks with Attention

magesa/stitch-examples

MongoDB Stitch Examples

magesa/tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

magesa/tfx

TFX is an end-to-end platform for deploying production ML pipelines

magesa/your-first-pwapp

Code associated with Your First Progressive Web App codelab