MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-11-24 03:58:46 +03:00
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machine-learning
deep-learning
pytorch
tensorflow
neural-networks
scikit-learn
ai-framework
hardware-acceleration
onnx
Обновлено 2024-11-23 10:45:48 +03:00
Official repository for the Microsoft C/C++ extension for VS Code.
Обновлено 2024-11-23 10:13:03 +03:00
OpenAPI based HTTP Client code generator
hacktoberfest
dotnet
python
csharp
typescript
java
ruby
php
api
golang
http
openapi
openapi3
kiota
openapi-codegen
openapi-specification
Обновлено 2024-11-23 09:47:44 +03:00
Git with a cup of tea! Painless self-hosted all-in-one software development service, includes Git hosting, code review, team collaboration, package registry and CI/CD
Обновлено 2024-11-23 07:42:58 +03:00
The source for REST API specifications for Microsoft Azure.
Обновлено 2024-11-23 06:51:58 +03:00
🛃 App to delete files after a specified amount of days
Обновлено 2024-11-23 05:20:42 +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 2024-11-23 05:10:32 +03:00
📄 Text editor for plaintext files
Обновлено 2024-11-23 05:05:07 +03:00
A system for managing CI data for Mozilla projects
python
docker
react
mozilla
reactjs
django
docker-compose
continuous-integration
django-rest-framework
treeherder
Обновлено 2024-11-23 04:27:18 +03:00
👪 Create groups with other users on a Nextcloud instance and share with them
Обновлено 2024-11-23 03:34:57 +03:00
A doc comment standard for TypeScript
Обновлено 2024-11-23 03:23:37 +03:00
An Azure DevOps extension for efficient retrospectives
Обновлено 2024-11-23 03:18:08 +03:00
Application Insights for Java
azure
sdk
java
monitoring
sql
application-insights
distributed-tracing
observability
application-insights-sdk
java-agent
java-sdk
Обновлено 2024-11-23 03:17:22 +03:00
AzureStackHCI Cloud SDK for GoLang
Обновлено 2024-11-23 02:44:10 +03:00
Detect and warn about suspicious IPs logging into Nextcloud
Обновлено 2024-11-23 02:19:44 +03:00
ECS multiplayer racing sample to showcase using Unity Entities and netcode with best practices
Обновлено 2024-11-23 02:07:01 +03:00
This is the official home for UWP XAML Behaviors on GitHub.
Обновлено 2024-11-23 00:36:34 +03:00
Collaborative development on GitHub's site policies, procedures, and guidelines
Обновлено 2024-11-23 00:32:22 +03:00
UF2 file format specification
Обновлено 2024-11-23 00:32:16 +03:00
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-23 00:06:20 +03:00
This repository contains a suite of libraries that provide facilities commonly needed when creating production-ready applications.
Обновлено 2024-11-23 00:03:27 +03:00
Tools for code generation based on the FHIR specification.
Обновлено 2024-11-22 23:47:15 +03:00
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
csharp
fsharp
dotnet-interactive
interactive-programming
jupyter
notebooks
polyglot
polyglot-dev
powershell
data-science
Обновлено 2024-11-22 22:24:26 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learning
deep-learning
pytorch
gpu
compression
billion-parameters
data-parallelism
inference
mixture-of-experts
model-parallelism
pipeline-parallelism
trillion-parameters
zero
Обновлено 2024-11-22 22:18:21 +03:00
A reference example with sample code for developers interested publishing transactable, Software as a-Service offers in the Microsoft commercial marketplace.
Обновлено 2024-11-22 21:55:44 +03:00
A modular services stack that facilitates remote Linux devices management over Azure
Обновлено 2024-11-22 20:54:14 +03:00
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
machine-learning
data-science
causal-inference
causality
treatment-effects
bayesian-networks
causal-machine-learning
causal-models
do-calculus
graphical-models
python3
Обновлено 2024-11-22 19:51:17 +03:00