michhar/pybotframework

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MIT License
Created about 7 years ago
Updated over 6 years ago

michhar/pybotframework

michhar

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A Python bot framework using the Microsoft Bot Framework REST API

pytorch-mask-rcnn-samples

Example notebooks on building PyTorch, preparing data and training as well as an updated project from a PyTorch MaskRCNN port

Jupyter Notebook

rpy2_sample_notebooks

Some sample notebooks using R commands within Python through rpy2 module

Jupyter Notebook

useR2016-tutorial-jupyter

R for Reproducible Research tutorial

Jupyter Notebook

maskrcnn-custom

Use VGG Image Annotator to label a custom dataset and train an instance segmentation model with Mask R-CNN implemented in Keras.

anomaly-detect-timeseries

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

python-jupyter-notebooks

Some sample python notebooks

Jupyter Notebook

darknet-yolov3-sample

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

bot-extras

Developing and Deploying Intelligent Chat Bots Decks repo

custom-jupyterhub-linux-vm

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

yolov4-jetson-azure-edge-solution

Here resides an end-to-end sample of using an NVIDIA Jetson platform as an Azure IoT Edge device with Live Video Analytics Edge and Azure Blob Storage. An open-source ML model is utilized to detect objects in an RSTP stream simulator. A Python web app is included for reviewing AI detections from Blob Storage.

ms-pythonbot

A first stab at a MS Bot Framework python bot using the REST API

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.

python4ds-notebooks

A course on Python for data science

Jupyter Notebook

jetson-gpu-yolov4

This sample is an example of running an AI container on the Jetson platform utilizing GPU acceleration.

yolov4-darknet-notes

Notes on training and deploying a Darknet YOLO v4 model on Azure.

michhar.github.io

My blog site on data science, machine learning, with how-to's

darknet-azure-vm-ubuntu-18.04

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

bot-masterclass

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

Jupyter Notebook

deeplearning-azureml-and-azure-functions

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

mlflow-keras-example

An object detection (with Keras and YOLOv3) MLflow example

Machine-Learning-Workstreams

Using Azure Machine Learning Service create a Pipeline for machine learning with PyTorch.

Jupyter Notebook

maskrcnn-python-app

Python desktop app for inference of a MaskRCNN model

counting-objects-with-azure-video-analyzer

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

flask-webapp-aml

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

navigating-nlp

My resources for learning NLP with Python.

Jupyter Notebook

bot-education-samples

Some unofficial sample bots.

navigating-ml

iot-edge-classification-module

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

azureml-darknet

Azure ML + Darknet for YOLOv4

python-services-campaign-optimization

Campaign optimization example using SQL Server 2017 Python Services

sql-server-2017-python-tutorial

Tutorial for SQL Server 2017 with Machine Learning Services using Python

node-conf-search-bot

A conference bot intended for use with Azure Search.

azure-flask-webapp

Azure DocumentDB + Google Doc API + Python flask

iot-edge-video-maker-module

azure-and-ml-utils

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

darknet-azure-vm

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