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 2024-11-21 01:27:34 +03:00
Training pipelines for Firefox Translations neural machine translation models
Обновлено 2024-11-20 23:58:58 +03:00
Tools for validating OpenAPI (Swagger) files.
azure
openapi
swagger
live-validation
model-validation
openapi-validation
request-validation
response-validation
semantic-validation
spec-resolver
traffic-validation
Обновлено 2024-11-20 22:42:34 +03:00
Verify is a snapshot tool that simplifies the assertion of complex data models and documents.
Обновлено 2024-11-20 13:57:51 +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 2024-11-20 04:04:47 +03:00
WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).
Обновлено 2024-11-20 03:17:23 +03:00
Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.
Обновлено 2024-11-20 02:53:38 +03:00
Canonical actor model implementation for .NET with local + distributed actors in C# and F#.
hacktoberfest
dotnet
c-sharp
cluster
concurrency
actor-model
akka
actor
distributed-programming
reactive
Обновлено 2024-11-19 20:55:08 +03:00
Simple and Distributed Machine Learning
azure
microsoft
machine-learning
deep-learning
ai
data-science
opencv
ml
cognitive-services
spark
http
big-data
lightgbm
databricks
onnx
apache-spark
pyspark
scala
model-deployment
synapse
Обновлено 2024-11-19 06:16:17 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-11-19 01:55:46 +03:00
A repo for upcoming changes to extensibility in Visual Studio, the new extensibility model, and language server protocol.
Обновлено 2024-11-19 00:08:10 +03:00
An advanced, composable, functional reactive model-view-viewmodel framework for all .NET platforms that is inspired by functional reactive programming. ReactiveUI allows you to abstract mutable state away from your user interfaces, express the idea around a feature in one readable place and improve the testability of your application.
dotnet
hacktoberfest
csharp
xamarin
xamarin-forms
uwp
android
ios
wpf
winforms
mvvm
framework
reactive-programming
reactiveui
reactive-extensions
reactivex
fody
first-timers
functional-reactive-programming
tizen
Обновлено 2024-11-18 16:26:09 +03:00
Akka.Hosting - standardized Akka.NET hosting without any HOCON configuration. Ties into Microsoft.Extensions.Configuration, Logging, Hosting, and DependencyInjection.
Обновлено 2024-11-18 15:10:45 +03:00
Cloud Native application framework for .NET
dotnet
actors
cloud-computing
cloud-native
concurrency
distributed-actors
distributed-systems
actor-model
orleans
Обновлено 2024-11-18 06:43:04 +03:00
SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images.
hacktoberfest
dotnet
macos
xamarin
windows
android
ios
graphics
cross-platform
skiasharp
dot-net
skia
Обновлено 2024-11-16 10:55:50 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-11-16 00:52:33 +03:00
CVVTuberExample(Computer Vision Virtual YouTuber Example) is an example project of controlling 3D humanoid model ("Unity-chan!" Model) using WebCamTexture.
Обновлено 2024-11-15 15:47:26 +03:00
Sample code for Power Apps, including Dataverse, model-driven apps, canvas apps, Power Apps component framework, portals, and AI Builder.
Обновлено 2024-11-15 05:30:48 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-11-13 06:41:06 +03:00
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
nlp
multimodal
beit
beit-3
deepnet
document-ai
foundation-models
kosmos
kosmos-1
layoutlm
layoutxlm
llm
minilm
mllm
pre-trained-model
textdiffuser
trocr
unilm
xlm-e
Обновлено 2024-11-09 13:45:59 +03:00
This asset is an Augmented Reality Example that detect and recognize markers and display 3D model in WebCamTexture in real-time.
Обновлено 2024-11-08 20:08:04 +03:00
This asset is a Marker-Less Augmented Reality Example using the actual environment as input instead of printed square markers and display 3d model in WebCamTexture in real-time.
Обновлено 2024-11-08 20:07:21 +03:00
Batch Scoring For Deep Learning Models
Обновлено 2024-11-08 19:24:35 +03:00
Example models using DeepSpeed
Обновлено 2024-11-08 00:27:38 +03:00
Subseasonal forecasting models
Обновлено 2024-11-07 02:35:52 +03:00
Sharing Updatable Models (SUM) on Blockchain
machine-learning
python
react
ai
ml
artificial-intelligence
node
economics
blockchain
ethereum
prediction-mar
prediction-market
smart-contracts
truffle
Обновлено 2024-10-31 16:38:58 +03:00
Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
Обновлено 2024-10-30 10:28:02 +03:00