:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
Обновлено 2024-11-07 05:42:18 +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 2024-11-06 23:00:04 +03:00
Bond is a cross-platform framework for working with schematized data. It supports cross-language de/serialization and powerful generic mechanisms for efficiently manipulating data. Bond is broadly used at Microsoft in high scale services.
Обновлено 2024-11-06 18:10:12 +03:00
glTF-SDK is a C++ Software Development Kit for glTF (GL Transmission Format -https://github.com/KhronosGroup/glTF).
Обновлено 2024-10-09 20:22:11 +03:00
L4 (Lock-Free on Read) Hashtable is a C++ library that implements hash table with arbitray byte stream keys/values.
Обновлено 2022-11-28 22:12:11 +03:00
Native cross platform library with language projection support for native code.
microsoft
android
ios
uwp
sdk
cross-platform
cpp-library
bindings
language
reflection
model
nuget-packages
observer-pattern
pmod
projection
viewmodel
Обновлено 2022-09-01 02:18:49 +03:00
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
computer-vision
cross-platform
ai
deep-reinforcement-learning
autonomous-vehicles
control-systems
deeplearning
drones
pixhawk
platform-independent
research
self-driving-car
simulator
unreal-engine
airsim
artificial-intelligence
autonomous-quadcoptor
Обновлено 2022-07-30 02:33:04 +03:00
This repo contains LLILC, an LLVM based compiler for .NET Core. It includes a set of cross-platform .NET code generation tools that enables compilation of MSIL byte code to LLVM supported platforms.
Обновлено 2022-03-15 04:37:01 +03:00
:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS
Обновлено 2020-07-02 23:02:35 +03:00
A library of cross-platform, cross-framework, cross-programming language featurizers (operations in a data processing pipeline) that can be used during Machine Learning training and prediction activities.
Обновлено 2020-04-27 18:58:11 +03:00
Cross-platform, graphics API agnostic, "Bring Your Own Engine/Framework" style rendering library.
Обновлено 2019-09-14 01:04:41 +03:00