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Обновлено 2024-11-20 14:34:58 +03:00
Samples that demonstrate running axe accessibility scans from Azure Pipelines
Обновлено 2024-11-20 11:34:45 +03:00
Automated accessibility testing engine for Windows applications
Обновлено 2024-11-20 11:09:29 +03:00
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning
deep-learning
data-science
python
automated-machine-learning
natural-language-processing
hyperparameter-optimization
automl
jupyter-notebook
timeseries-forecasting
tuning
classification
finetuning
hyperparam
natural-language-generation
random-forest
regression
scikit-learn
tabular-data
Обновлено 2024-11-20 10:51:18 +03:00
Automated static analysis & linting bot for Mozilla repositories
Обновлено 2024-11-19 19:34:39 +03:00
A collection of automated tests created with the scope of reducing manual testing for the AMO weekly release.
Обновлено 2024-11-19 16:09:18 +03:00
📦 Containers used for Continous Integration jobs (automated testing)
Обновлено 2024-11-19 15:22:25 +03:00
C# command line tool for running tests on Android / iOS / tvOS devices and simulators
Обновлено 2024-11-19 12:38:00 +03:00
Automated auditing, performance metrics, and best practices for the web.
developer-tools
web
performance-analysis
audit
best-practices
pwa
chrome-devtools
performance-metrics
Обновлено 2024-11-19 04:18:39 +03:00
🔖 An app for Nextcloud that assigns tags to newly uploaded files based on some conditions
Обновлено 2024-11-19 01:49:16 +03:00
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Обновлено 2024-11-18 23:05:01 +03:00
Automated Azure Arc environments
azure
kubernetes
linux
ansible
aws
azure-arc
azure-arc-data
azure-arc-k8s
azure-arc-servers
azure-arm-template
gcp
gke
kubernetes-clusters
openshift
terraform
vmware
windows-server
aks
aks-kubernetes-cluster
Обновлено 2024-11-17 00:00:28 +03:00
Automated deployment of REDCap with Azure Blob storage as the storage back-end
Обновлено 2024-11-12 20:24:04 +03:00
APIOps applies the concepts of GitOps and DevOps to API deployment. By using practices from these two methodologies, APIOps can enable everyone involved in the lifecycle of API design, development, and deployment with self-service and automated tools to ensure the quality of the specifications and APIs that they’re building.
Обновлено 2024-11-07 20:55:44 +03:00
Blog posts by release management both automated and human
Обновлено 2024-11-05 13:17:40 +03:00
Visual Studio Team Services (VSTS) extension for performing continuous delivery to the Windows Dev Center store from your automated CI builds
Обновлено 2024-11-04 20:41:04 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2024-10-23 20:40:41 +03:00
Visual Studio Team Services (VSTS) extension for performing continuous delivery to the Google Play store from your automated CI builds
Обновлено 2024-10-22 01:42:10 +03:00
Visual Studio Team Services (VSTS) extension for performing continuous delivery to the App Store store from your automated CI builds
Обновлено 2024-10-18 15:47:19 +03:00
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Обновлено 2024-10-08 04:48:15 +03:00
Automated UI testing API for Dynamics 365
Обновлено 2024-10-02 21:07:14 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
This reference implementation is based on the 30-days guardrails requirements as part of the GC Cloud Operationalization Framework, it offers an automated way to verify if the department has implemented the recommended controls provided by Treasury Board of Canada Secretariat (TBS) and display the results in a comprehensive format.
Обновлено 2024-01-03 00:31:40 +03:00
We are excited to support Hyperledger Fabric(HLF) Blockchain version 1.4.4 on Azure Kubernetes Service through a solution template that helps to deploy and configure blockchain network of your choice with minimal Azure and HLF knowledge. With a handful of user inputs and a simple single-click deployment through the Azure portal, you can provision a fully configured HLF Ordering and Peer nodes for your Org in minutes, using Microsoft Azure Kubernetes Service. Rather than spending hours building out and configuring the infrastructure, we have automated these time-consuming pieces to allow you to focus on building out your scenarios and applications. You can configure the node number and size of your choice through the input parameters provided to the template. You are only charged for the underlying infrastructure resources consumed, such as AKS cluster, storage, and networking.
Обновлено 2023-11-10 18:57:38 +03:00
A web app to create and browse text visualizations for automated customer listening.
Обновлено 2023-10-27 06:29:49 +03:00
ASP.NET Core backend + React frontend + Entity Framework Core + automated testing
Обновлено 2023-07-19 02:34:39 +03:00
Visual Studio Team Services (VSTS) extension for performing continuous delivery to the CodePush service from your automated CI builds
Обновлено 2023-07-12 03:27:41 +03:00
TestApi is a library of test and utility APIs that enables developers and testers to create testing tools and automated tests for .NET and Win32 applications. TestApi provides a set of common test building blocks -- types, data-structures and algorithms -- in a simple, layered, componentized and documented stack.
Обновлено 2023-06-12 23:27:26 +03:00
Docker image for doing automated testing of terraform modules with Travis CI and local development testing.
Обновлено 2023-06-01 09:20:17 +03:00