michhar Goto Github PK

anomaly-detect-timeseries

Repo for using an LSTM and other algorithms on time series data for anomaly detection

azure-and-ml-utils

Python scripts to use the Azure SDKs, plus a few general machine learning and related scripts.

azure-flask-webapp

Azure DocumentDB + Google Doc API + Python flask

azure-intelligent-edge-patterns

Samples for Intelligent Edge Patterns

azure-percept-advanced-development

Azure Percept DK advanced topics

azure-percept-reference-solutions

azureml-darknet

Azure ML + Darknet for YOLOv4

azureml-keras-yolov3-custom

Keras implementation of YOLO v3 for object detection with training and deployment in Azure ML.

bot-education

Training resources around Microsoft Bot Framework

bot-education-samples

Some unofficial sample bots.

bot-extras

Developing and Deploying Intelligent Chat Bots Decks repo

bot-masterclass

This is a bots-from-scratch tutorial with many fun HOLs.

car-model-recognition-transfer-learning

Car Model Recognition project with data augmentation and transfer learning option.

chantilly

🍦 Deployment tool for online machine learning models

computer-vision-tricks

Simple computer vision approaches with OpenCV, Shapely and other Python vision libraries.

counting-objects-with-azure-video-analyzer

Recognize objects and save video in the cloud using the Percept DK hardware and Azure Video Analyzer platform.

csvconf2016

Resources for sharing notebooks in Azure from csv,conf v2

custom-jupyterhub-linux-vm

JupyterHub in Docker for CPU and GPU with deep learning frameworks (mainly for computer vision)

darknet-azure-vm

A quick deployment and build method for the Darknet C++ object detection program to an Azure Data Science Virtual Machine.

darknet-azure-vm-ubuntu-18.04

Deploy an NVIDIA GPU-backed virtual machine in Azure for creating YOLO models.

darknet-yolov3-sample

Some instructions and an example of using the neural network framework, Darknet, for object detection with YOLO v3.

deeplearning-azureml-and-azure-functions

Automating the process of training an ML model using AzureML Python SDK within an Azure Function

flask-webapp-aml

A webapp (ready for Azure) using Python flask to consume a machine learning experiment deployed through Azure Machine Learning studio.

forecasting-with-lstm

LSTM encoder-decoder in Keras and Tensorflow v1 for timeseries forecasting.

harris-soh-copeland-puca.github.io

intelligentedgehol-yolov4

The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module with YOLO v4 to an Nvidia Jetson Xavier device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam

ios-coreml-yolo

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

iot-edge-classification-module

Sample of using PyTorch for inference in an Azure IoT Edge Module.

iot-edge-video-maker-module

jetson-customvision

Use Microsoft Custom Vision to create an object detection model and place into this repo to create a Flask app that runs a local service in a docker container.