ML.NET is an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-11-20 20:29:19 +03:00
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
machine-learning
python
data-science
ml
scikit-learn
r
machine-learning-algorithms
machinelearning
education
scikit-learn-python
machinelearning-python
Обновлено 2024-11-11 23:02:40 +03:00
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-11-04 20:20:56 +03:00
A Repository for the public preview of Responsible AI in AML vNext
Обновлено 2024-09-13 01:24:07 +03:00
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
machine-learning
data-science
jupyter
ml
ui
explainable-ai
explainable-ml
fairness
fairness-ai
fairness-ml
interpretability
machinelearning
responsible-ai
visualization
widget
widgets
data-analysis
data-visualization
error-analysis
explainability
Обновлено 2024-08-07 04:34:48 +03:00
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
machine-learning
data-science
ml
visualization
jupyter
data-visualization
ui
machinelearning
widgets
data-analysis
explainable-ai
explainable-ml
fairness-ai
fairness-ml
interpretability
fairness
responsible-ai
explainability
widget
error-analysis
Обновлено 2024-08-07 04:34:48 +03:00
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-04-29 23:02:02 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
mlops-project
Обновлено 2024-04-19 06:43:42 +03:00
Simple UI tool to build custom machine learning models.
Обновлено 2024-03-07 00:56:47 +03:00
This open source project contains source code to build a Xamarin iOS and Android mobile app. Once compiled the app can be used to analyze and interpret chest x-ray images. This experimental research project is used to supplement the release of the machine learning model (https://blogs.technet.microsoft.com/machinelearning/2018/03/07/using-microsoft-ai-to-build-a-lung-disease-prediction-model-using-chest-x-ray-images/).
Обновлено 2024-01-27 23:05:50 +03:00
Debugging, monitoring and visualization for Python Machine Learning and Data Science
machine-learning
python
deep-learning
data-science
ai
monitoring
reinforcement-learning
jupyter
jupyter-notebook
debugging
deeplearning
debug
machinelearning
explainable-ai
explainable-ml
saliency
debugging-tool
model-visualization
Обновлено 2023-08-30 10:47:36 +03:00
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
azure
microsoft
machine-learning
deep-learning
devops
azureml
mlops
azuremachinelearning
mlops-environment
mlops-template
mlops-workflow
Обновлено 2023-07-28 08:11:02 +03:00
Project Template for Jupyter Notebooks in Azure Machine Learning Workbench
Обновлено 2023-05-31 21:48:49 +03:00
Обновлено 2023-03-28 19:48:16 +03:00
This repo hosts samples of Azure Machine Learning designer.
Обновлено 2022-09-30 08:17:23 +03:00
Обновлено 2022-03-14 22:52:42 +03:00
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
azure
data
r
visualization
workshop-materials
anomaly-detection
azure-databricks
databricks-notebooks
timeseries-forecasting
time-series-analysis
sparksql
311-data
aiforsocialgood
anomalydiscovery
datascience-machinelearning
eda
geospatial
leaflet
opendata
sparkr
Обновлено 2021-05-03 23:14:01 +03:00
A task interface for Jupyter notebooks built on machine learning and big data
Обновлено 2020-04-10 04:23:31 +03:00
Обновлено 2020-04-08 02:00:58 +03:00
Sample of how to develop & deploy text classification models using Azure ML package for Text Analytics and Team Data Science Process (TDSP
Обновлено 2018-06-20 18:43:02 +03:00