This PowerShell script will run some connectivity checks from this machine to the server and database.
Обновлено 2024-11-22 16:04:56 +03:00
Smart camera tools for passionate creators
Обновлено 2024-11-21 23:35:42 +03:00
ML.NET is an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-11-20 20:29:19 +03:00
Perception toolkit for sim2real training and validation in Unity
machine-learning
computer-vision
deep-learning
detection
domain-randomization
object-detection
perception
pose-estimation
segmentation
synthetic-dataset-generation
Обновлено 2024-11-08 22:38:42 +03:00
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
unity
machine-learning
unity3d
deep-learning
reinforcement-learning
neural-networks
deep-reinforcement-learning
Обновлено 2024-10-28 14:18:34 +03:00
Bridge To Kubernetes (B2K) is development tool to debug microservices, pods which redirects traffic to your local development machine and vice versa.
Обновлено 2024-10-24 22:25:16 +03:00
Highly configurable, extensible and performant Service Fabric watchdog service that, out of the box, monitors a broad range of physical machine resources that tend to be very important to Service Fabric services and maps these metrics to SF entities. It targets both Windows and Linux SF clusters.
Обновлено 2024-10-07 21:30:27 +03:00
Infer.NET is a framework for running Bayesian inference in graphical models
Обновлено 2024-09-05 02:51:09 +03:00
Unity's privacy-preserving human-centric synthetic data generator
unity
unity3d
deep-learning
computer-vision
pose-estimation
object-detection
synthetic-data
perception
synthetic-dataset-generation
billing-5160
synthetic-datasets
applied-ml-research
human-activity-recognition
human-centric-ml
human-pose-estimation
icml-2022
labeling
owner-machine-learning
synthetic-data-generation
transfer-learning
Обновлено 2024-03-05 04:05:37 +03:00
The goal is to pilot Microsoft Cognitive Services to unlock the strategic value of UN unstructured content by building on AI and semantic technologies. The idea is to showcase the innovative smart services that natural language processing and machine learning to effectively support policy and decision making, coordination, synergies and accountability.
Обновлено 2023-07-07 01:20:11 +03:00
SynthDet - An end-to-end object detection pipeline using synthetic data
machine-learning
deep-learning
computer-vision
pose-estimation
synthetic-data
synthetic-dataset-generation
detection
domain-randomization
object-detection
synthetic-dataset
Обновлено 2023-07-05 23:50:31 +03:00
Price analytics solution based on the double-machine-learning modeling approach
Обновлено 2023-06-27 15:48:52 +03:00
Getting started with machine learning session demos
Обновлено 2023-06-12 22:30:24 +03:00
MLFlow.NET is a .NET Standard 2.0 based wrapper for the REST based MLFlow server API (https://mlflow.org/). The SDK package allows you to call the MLFlow server API from .NET apps. A sample use case is writing a .NET Core app that validates a machine learning model or API and stores the result in MLFlow
Обновлено 2023-06-12 21:59:04 +03:00
Easily deploy models to FPGAs for ultra-low latency with Azure Machine Learning powered by Project Brainwave
Обновлено 2023-05-31 21:48:21 +03:00
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
dotnet
csharp
dotnet-core
fsharp
microsoft
dotnet-standard
machine-learning
spark
spark-sql
spark-streaming
streaming
tpcds
analytics
tpch
apache-spark
azure
bigdata
databricks
emr
hdinsight
Обновлено 2023-02-18 00:56:32 +03:00
Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.
Обновлено 2023-02-10 22:43:48 +03:00
Machine Learning Patient Risk Analyzer Solution Accelerator is an end-to-end (E2E) healthcare app that leverages ML prediction models (e.g., Diabetes Mellitus (DM) patient 30-day re-admission, breast cancer risk, etc.) to demonstrate how these models can provide key insights for both physicians and patients. Patients can easily access their appointment and care history with infused cognitive services through a conversational interface. In addition to providing new insights for both doctors and patients, the app also provides the Data Scientist/IT Specialist with one-click experiences for registering and deploying a new or existing model to Azure Kubernetes Clusters, and best practices for maintaining these models through Azure MLOps.
Обновлено 2022-12-08 19:18:29 +03:00
Utilities managing Azure Dedicated Hosts (starting, stopping as needed) and recommending hosts for VM placement.
Обновлено 2022-12-08 12:08:40 +03:00
This repository contains the source code of the tool: CSPARMPricingCalculator. The tool can be used to estimate the cost of hosting the resources defined in an ARM template in an Azure CSP subscription. It has been built as a sample and currently supports Virtual machines and its components including compute hours, storage, network, public ip and software costs. The idea is to help CSP partners who are performing integration by providing the tool and source code to assist them to incorporate this feature at their end.
Обновлено 2022-11-28 22:12:11 +03:00
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
azure
docker
dotnet-core
tensorflow
object-detection
gpu
counting
edge-computing
video-analytics
yolov3
Обновлено 2022-07-26 04:18:01 +03:00
Showcase environment for ML-Agents
unity
unity3d
machine-learning
reinforcement-learning
game-development
ml-agents
reinforcement-learning-environments
Обновлено 2022-05-05 01:10:53 +03:00
Sample code for the Model-Based Machine Learning book.
Обновлено 2021-03-17 23:08:27 +03:00
Author microservices without thinking about faults or servers. Then compile and deploy anywhere.
Обновлено 2020-12-10 03:07:25 +03:00
Build your own Machine Learning setup to train a reinforcement model to play Pinball in software.
Обновлено 2020-07-10 10:00:25 +03:00
A generic test suite for the main features of Timeline and Cinemachine
Обновлено 2020-02-25 15:58:47 +03:00
MCW Intelligent vending machines
Обновлено 2019-07-01 20:39:02 +03:00
Cluster Controller for WorldWide Telescope running in multi-channel domes, power walls and other multiple machine or headless operation
Обновлено 2015-07-01 00:10:55 +03:00