Pinned Repositories
2016-Oct-L2
Training content for WW DX Q2 Upskilling events.
aad-pod-identity
Assign Azure Active Directory Identities to kubernetes applications.
AscendIoTAzureFn
Ascend+ IoT + AzureFunction
AscendPlusIoTAzFn
Azscend+ IoT & AzFn
automl-handson
Notebook for workshop
automl-workshop
Repository with required files for automated ML worshops
azure-blockchain-projects
Home of blockchain and distributed ledger projects like Azure Blockchain as a Service DevTest labs artifacts.
InsuranceBot
LUIS + FormFlow
pix2pix-tensorflow-demo
StoreBot
wtam's Repositories
wtam/BatchAI_DeepLearningToolKit_Medical_IMG
wtam/InsuranceBot
LUIS + FormFlow
wtam/StoreBot
wtam/aad-pod-identity
Assign Azure Active Directory Identities to kubernetes applications.
wtam/automl-handson
Notebook for workshop
wtam/automl-workshop
Repository with required files for automated ML worshops
wtam/azure-quickstart-templates
Azure Quickstart Templates
wtam/azure101-webapp-html
Static HTML with Twitter feed
wtam/AzureFunctionJavaSQLQuery-Intellij
wtam/AzureFunctionSQLQuery
Demo
wtam/BatchAI_Horovod_Intel_MPSS
Keras + Horovod + Intel MPSS on BatchAI
wtam/BotFramework-WebChat
A highly-customizable web-based client for Azure Bot Services.
wtam/ContosoAir
Source code repository for ContosoAir application
wtam/Cordapp-AzSingleLedger-kotlin
wtam/DatabricksDemo
German CreditCard risk
wtam/fsi-samples
A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.
wtam/fun_marksix
wtam/InvestmentExplorerBotV4
wtam/k8s-best-practices
A collection of best practices for running Kubernetes on Azure with AKS or ACS-Engine from the Intelligent Cloud Global Blackbelt team
wtam/LearnAI-KnowledgeMiningBootcamp
Learn to build an enterprise scale intelligent search solution for searching business documents using Microsoft Azure and Cognitive Search
wtam/MCW-Modern-cloud-apps
MCW Modern cloud apps
wtam/models
Models and examples built with TensorFlow
wtam/nlp-recipes
Natural Language Processing Best Practices & Examples
wtam/pipelines-javascript-docker
Sample Node.js Docker application referred to by Azure Pipelines documentation
wtam/Quorum7nodesAzFn
commit
wtam/readylabs
wtam/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
wtam/Tensorflow_self_learning
wtam/TimeSeries_Finance_CNTK_HSBC_stock_Prediction
wtam/TruffleDemo
Quorum Demo with Truffle