AdamMiltonBarker's repositories
ALL-Detection-System-2020
Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Oculus Rift to provide a virtual diagnosis system. Project by Adam Milton-Barker.
AML-Project-Research
A public repo of open Acute Myeloid Leukemia research papers discovered during project R&D
COVID19-AI-Quantum-Tensorflow
Artificial Intelligence & Quantum processing research and development. AI algorithms built with Tensorflow Quantum aimed at fighting, and understanding COVID-19.
ALL-Detection-System-2019
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection System is a range of opensource classifiers with a locally hosted, database driven UI for data management, training, and running inference on Convolutional Neural Networks on the edge.
AI-Classification
Open source Artificial Intelligence for COVID-19 detection/early detection. Includes Convolutional Neural Networks (CNN) & Generative Adversarial Networks (GAN)
AI-Data-Analysis
Open-source Artificial Intelligence & Data Analysis research and development. AI algorithms built for fighting and understanding COVID-19.
ALL-Classifiers
A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
ALL-FastAI-2019
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
ALL-GAN-2020
An Acute Lymphoblastic Leukemia GAN programmed in Python using Keras. Project by research intern Taru Jain, and Amita Kapoor.
ALL-IDB-Classifiers
Classifiers created with various languages and frameworks, using Fabio Scotti's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset.
ALL-Keras-2019
An Acute Lymphoblastic Leukemia classifier programmed in Python using Keras, by research intern Taru Jain, and Amita Kapoor.
ALL-PyTorch-2020
An Acute Lymphoblastic Leukemia CNN programmed in Python using PyTorch. Project by Adam Milton-Barker.
ALL-Tensorflow-2020
An Acute Lymphoblastic Leukemia CNN based on the proposed architecture in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper, using the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.
AML-ALL-Research-Archive
The Peter Moss Acute Myeloid/Lymphoblastic Leukemia Project Research Archives is a place dedicated to sharing the public information, papers, code and datasets that we come across through R&D.
COVID19-AI-Quantum-DWave-Leap
Artificial Intelligence & Quantum processing research and development. AI algorithm training & running on DWave Leap, aimed at fighting, and understanding COVID-19.
COVID19-AR-Magic-Leap-Medical-Support-System
An augmented/mixed reality application built on Magic Leap that allows medical staff to diagnose COVID19 with Artificial Intelligence.
COVID19-IoT-Devices
Open source Internet of Things devices for COVID-19 medical support systems. Based on iotJumpway/Arduino-Examples
EMAR
EMAR is an open-source Emergency Robot Assistant to assist doctors, nurses and hospital staff during the COVID-19 pandemic, and similar situations we may face in the future.
EMAR-Mini
EMAR Mini is a minature version of EMAR, an open-source Emergency Robot Assistant to assist doctors, nurses and hospital staff during the COVID-19 pandemic, and similar situations we may face in the future.
Invasive-Ductal-Carcinoma
A collection of open source computer vision projects dedicated to detecting Invasive Ductal Carcinoma, a form of breast cancer. This repository includes a number of sub projects using different languages, frameworks and models including Tensorflow, Keras & Caffe.
JumpWayMQTT
The Python MQTT Client Package allows developers to communicate with the IoT JumpWay MQTT Broker and provides a number of device and applications examples.
Magic-Leap-1-Detection-System
The Magic Leap 1 COVID-19 Detection System 2020 uses Tensorflow 2, Raspberry Pi 4 & Magic Leap 1 to provide a spatial computing detection system. Project by Adam Milton-Barker.
NLU
The GeniSys NLU Engine includes a combination of a custom trained DNN (Deep Learning Neural Network) built using TFLearn for intent classification, and a custom trained MITIE model for entity classification.
Oculus-Rift-Detection-System
The Oculus Rift COVID-19 Detection System 2020 uses Tensorflow 2, Raspberry Pi 4 & Oculus Rift to provide a virtual detection system. Project by Adam Milton-Barker.
Server
GeniSys AI Server is a customisable management system for GeniSys AI networks built on top of Ubuntu 18.04.1 LTS (Bionic Beaver).
TASS-Android-UI
TASS Android UI is an open source Android application for using a remote TASS Classifier to classify people and intruders in real time.
Tensorflow-Quantum-IDC-Classifer-2020
A Quantum Neural Network built with Tensorflow Quantum and training on Breast Histopathology Images on Kaggle by Paul Mooney (Invasive Ductal Carcinoma)
Vision
The GeniSys TASS Devices & Applications use Siamese Neural Networks and Triplet Loss to classify known and unknown faces.
web3.php
A php interface for interacting with the Ethereum blockchain and ecosystem. Native ABI parsing and smart contract interactions.
xDNN
COVID-19 classifiers based on eXplainable DNN architecture by our collaborators, Plamenlancaster: Professor Plamen Angelov from Lancaster University/Centre Director @ Lira, & Eduardo Soares PhD.