thirapat Goto Github PK

adam

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

agile_data_code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

aka-lego

As Know As "Lego"

azure

azure-blockchain-projects

Home of blockchain and distributed ledger projects like Azure Blockchain as a Service DevTest labs artifacts.

azure-cli

azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

azure-ml-churn-tutorial

Tutorial

azure-quickstart-templates

Azure Quickstart Templates

big_data

bigdata

bigdatarstrata2017

All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.

buildingintelligentapplications

cntk

Computational Network Toolkit (CNTK)

cognitive-samples-intelligentkiosk

Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.

computerscience

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

cortana-intelligence-product-detection-from-images

This repo demonstrates how to develop an end-to-end solution for product detection from images using CNTK and Azure platform.

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

deep_learning_tools_for_dsvm

Useful deep learning tools for the Data Science Virtual Machine

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

demo

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

devcamp

Contains content for the Azure DevCamp

dlaicourse

Notebooks for learning deep learning

docker.dotnet

:whale: .NET (C#) Client Library for Docker API

ell

Embedded Learning Library

example

firmware-security-training

fraud-detection-tutorial

golang