borysrybak

azure-machine-learning-studio

.NET Module for Azure Machine Learning Studio

information-and-user-action-bot-scenario

Java implementation example of information and user action bot scenario (QnA Maker + Wit.AI)

real-time-face-analytics

This sample project is an example of analysing faces in real-time, by using Azure Cognitive Services, mostly by Face API service.

azuremlps

Azure ML PowerShell

fuzzy-logic-parser

Edited & modified existing project from: https://github.com/mre/receipt-parser/

Winograd

Winograd nxn

abseil-py

Abseil Common Libraries (Python)

active-learning-detect

Active learning + object detection

BotDirectlineApp-Java

This is a Direct Line API Sample of Bot Framework

cntk-experiments

cognitive-services

Various examples of apps, using Microsoft Cognitive Services.

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

code-with-engineering-playbook

This is the playbook for "code-with" customer or partner engagements

computerscience

Free technical resources for faculty, students, and Microsoft developer advocates for use in computer science learning forums.

custom-jupyterhub-linux-vm

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

ELL

Embedded Learning Library

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

java-bot-connector-sample

Bot Connector sample, using Bot Builder SDK v4 (Java)

java-chatbot-channels-and-services-integration

//TODO

java_spring_bot

Build a bot container for Java

javascript-bot-sample

Bot sample, using Bot Builder SDK v4 (JavaScript)

keras-preprocessing

Utilities for working with image data, text data, and sequence data.

livelossplot

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Neural-Style-Transfer

This is a keras implementation of neural style described in the paper by Gatys et.al. The main objective of neural style is to generate an image that is as close as in terms of content to the base image and as close as in terms of style to the style image.

patronage-2016-windows-10-exercise

Repository of Windows 10 exercise project from BLStream Patronage 2016

ThiefAndPolicemen

wp-patronage-2014-2015

Repozytorium BLStream Patronage 2015

yolov4-custom-functions

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

yolov4-deepsort

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.