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Smartphone App Development

acmeair-mainservice-java

This service contains the front end of AcmeAir Microservices.

api_inference

Api inference on multiple files

automating_with_ansible

centos_ldap

chexpert

Top 1 solution of Chexpert

chexpert-entries

Notebooks and scripts for making submissions to the CheXpert Competition

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

darknetfaceid

A YOLO darknet implementation of facial recognition from automatic annotation of facial images.

db2-front-end

detectionapp

object detection camera using coreML

flask-multiple-file-upload

Small application for uploading multiple photos using Flask, Flask-Dropzone, and Flask-Uploads

flaskobjectdetection

Flask Object Detection - TensorFlow

h2o-mojo-in-liberty

deploy demo of exported mojo pipeline to IBM Cloud Liberty runtime in Cloud Foundry

ibm-cloud-cli-release

jspaint

🎨 Classic MS Paint, ＲＥＶＩＶＥＤ + ✨Extras

mastertheboss

Source code for mastertheboss.com

ml-react-app-template

This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.

mobile-app-labs

mongodb-front-end

monitor-the-performance-of-your-microservice-application

In this code pattern, we will integrate Instana with a polyglot microservice travel application on OpenShift. Instana is a fully automated Enterprise Observability solution, with infrastructure monitoring and Application Performance Management (APM), designed specifically for the challenges of managing microservice and cloud-native applications. We will generate traffic to the application using Puppeteer and analyze the traffic on the Instana dashboard. The travel application used in this code pattern is a part of the Bee Travels project that focuses on some of the first version services of the application.

open-cluster-management

This repository contains a collection of samples for Open Cluster Management and IBM Power Systems.

openshift-quickstarts

Quickstarts used by templates in github.com/jboss-openshift/application-templates

paiv-custom-models

Sample code for training and deploying custom models (classification or object dection) in PowerAI Vision

phoenix

wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.

phoenix__test

testing conda build from .whl

pose-matcher

Create your own pose matching application with a custom dataset!

posenet-golf-swing-matcher

matches golf swing pose from captured photo with that of a famous golfer

powerai-vision-object-detection

Use deep learning to create a model and a REST endpoint to allow your app to detect, locate and count your product on store shelves

powerai_vision_dashboard

power ai vision dashboard