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Projects in Awesome Lists by AdamMiltonBarker

A curated list of projects in awesome lists by AdamMiltonBarker .

https://github.com/adammiltonbarker/intellilan-world-maker-challenge

Repository for my competition entry for Hackster/Microsoft/Arduino World Maker Challenge.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/genisysai

Open source project working towards general intelligence by combining multiple separate models into one general application.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-arduino-nano-33-ble-sense-servo

AI Powered Servo using Arduino Nano 33 BLE SENSE and Edge Impulse

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-jetson-nano-trainer

A Python script that utilizes the Edge Impulse API to create, train and deploy a model on Jetson Nano

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-ai-retail-automation

AI Retail Automation Checkout With Edge Impulse & NVIDIA Jetson Nano

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/acute-myeloid-leukemia-classifier-2021

A Tensorflow 2 project based on the research outlined in Human-level recognition of blast cells in the Acute myeloid leukemia with convolutional neural networks paper by Christian Matek, Simone Schwarz, Karsten Spiekermann , and Carsten Marr.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/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.

internet-of-things iot iot-jumpway python

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-thingy-53-keyword-detection

Keyword detection with Edge Impulse and Thingy 53

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-ai-hospital-bed-occupency-detection

An AI project using Edge Impulse & Arduino Nano BLE Sense to monitor hospital bed occupancy

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-byom-classical-machine-learning

A project for Edge Impulse Enterprise users that allows you create a classical machine learning model and upload it to the Edge Impulse platform using the BYOM feature.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/covid19-iot-devices

Open source Internet of Things devices for COVID-19 medical support systems. Based on iotJumpway/Arduino-Examples

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/hias-network-iot-light

An IoT light designed to be used with the HIAS Network.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/aml-genomics-2021

An Acute Myeloid Leukemia diagnostics project based on the research outlined in Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics by Stefanie WarnatHerresthal, Konstantinos Perrakis, Bernd Taschler, Torsten Haferlach, Sach Mukherjee & Joachim L. Schultze.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-pytorch-2021

An Acute Lymphoblastic Leukemia classifier developed using the Pytorch framework.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-pytorch-2020

An Acute Lymphoblastic Leukemia CNN programmed in Python using PyTorch. Project by Adam Milton-Barker.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-gan-2020

An Acute Lymphoblastic Leukemia GAN programmed in Python using Keras. Project by research intern Taru Jain, and Amita Kapoor.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-c-nmc-2021

A series of Acute Lymphoblastic Leukemia CNNs trained with the C-NMC Dataset by University of Arkansas for Medical Sciences (UAMS). The projects are programmed in Python using various frameworks.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-r-classifier

A classifier for Acute Lymphoblastic Leukemia developed using the R programming language.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-tensorflow-segmentation-2021

Acute Lymphoblastic Leukemia classification using segmentation and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Programmed in Python using Tensrflow.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/omniverse-replicator-edge-impulse

NVIDIA Omniverse Replicator Synthetic Data Generation For Edge Impulse Projects

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/all-keras-2019

An Acute Lymphoblastic Leukemia classifier programmed in Python using Keras, by research intern Taru Jain, and Amita Kapoor.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-all-classifier

An Acute Lymphoblastic Leukaemia classifier created using the Edge Impulse platform.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/edge-impulse-ai-patient-assistance

Using Edge Impulse and Arduino Nano 33 BLE Sense to provide AI patient assistance.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/hias-bluetooth-triangulation-agent

HIAS Bluetooth Triangulation Agents help to identify authorized and unauthorized users within a HIAS Zone.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/hias-network-iot-temperature-device

An IoT light temperature/humidity sensor device designed to be used with the HIAS Network.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/hias-bed

An IoT connected device to keep track of hospital beds and take vital statistics about their status, location and environment.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/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.

Last synced: 22 Nov 2024

https://github.com/adammiltonbarker/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.

Last synced: 22 Nov 2024