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.
Обновлено 2024-09-14 20:00:24 +03:00
ML.NET is an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-09-10 01:02:38 +03:00
Infer.NET is a framework for running Bayesian inference in graphical models
Обновлено 2024-09-05 02:51:09 +03:00
Price analytics solution based on the double-machine-learning modeling approach
Обновлено 2023-06-27 15:48:52 +03:00
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
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
Sample code for the Model-Based Machine Learning book.
Обновлено 2021-03-17 23:08:27 +03:00