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
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
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
.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
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