Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-20 16:48:44 +03:00
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning
deep-learning
data-science
python
automated-machine-learning
natural-language-processing
hyperparameter-optimization
automl
jupyter-notebook
timeseries-forecasting
tuning
classification
finetuning
hyperparam
natural-language-generation
random-forest
regression
scikit-learn
tabular-data
Обновлено 2024-11-20 10:51:18 +03:00
MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-11-20 03:54:49 +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
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
csharp
fsharp
dotnet-interactive
interactive-programming
jupyter
notebooks
polyglot
polyglot-dev
powershell
data-science
Обновлено 2024-11-19 00:22:27 +03:00
Best Practices on Recommendation Systems
azure
microsoft
machine-learning
python
deep-learning
kubernetes
data-science
artificial-intelligence
jupyter-notebook
tutorial
operationalization
ranking
rating
recommendation
recommendation-algorithm
recommendation-engine
recommendation-system
recommender
Обновлено 2024-11-18 12:48:34 +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
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 2024-11-06 18:53:00 +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
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
microsoft
machine-learning
deep-learning
data-science
r
finance
time-series
forecasting
business
finnts
r-package
rstats
Обновлено 2024-10-29 17:51:56 +03:00
10 Weeks, 20 Lessons, Data Science for All!
Обновлено 2024-10-15 14:01:26 +03:00
Python package for graph statistics
Обновлено 2024-10-09 19:41:04 +03:00
Explore machine learning and data science with Codespaces
Обновлено 2024-08-12 16:11:43 +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
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Best Practices, code samples, and documentation for Computer Vision.
microsoft
azure
machine-learning
python
deep-learning
data-science
computer-vision
kubernetes
artificial-intelligence
object-detection
tutorial
jupyter-notebook
convolutional-neural-networks
image-classification
image-processing
operationalization
similarity
Обновлено 2023-10-18 19:13:00 +03:00
🌱 Join a community of developers at Microsoft Reactor and connect with people, skills, and technology to build your career or personal learning. We offer free livestreams, on-demand content, and hybrid/in-person events daily around the world. Access our projects and code here.
dotnet
azure
python
data-science
nodejs
ai
ml
mixed-reality
devops
iot
web
data
cloud
events
low-code
live-streaming
meetup
no-code
personal-de
Обновлено 2023-09-01 14:55:23 +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
With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
microsoft
machine-learning
data-science
anomaly-detection
nlp-machine-learning
sampling-strategies
text-analysis
text-classification
text-summarization
azure-automl
cleansing-data
datavisualization
responsible-ml
Обновлено 2023-08-03 09:43:02 +03:00
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
machine-learning
python
data-science
ner
synthetic-data
synthetic-data-generation
data-generation
ocr-recognition
synthetic-images
text-alignment
Обновлено 2023-07-20 18:03:32 +03:00
Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.
Обновлено 2023-03-28 19:45:00 +03:00
A site that displays up to date COVID-19 stats, powered by fastpages.
github-actions
analytics
data-science
github-pages
jupyter
python
covid19
data-visualisation
fastai
fastpages
papermill
pymc3
matplotlib
nteract
altair
covid-19
covid-data
Обновлено 2022-11-11 15:38:49 +03:00
Use GitHub to facilitate automation, collaboration and reproducibility in your machine learning workflows.
Обновлено 2022-10-06 16:37:44 +03:00
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
azure
python
machine-learning
deep-learning
data-science
r
ai
ml
big-data
sqlserver
data-analysis
dsvm
Обновлено 2022-09-18 21:35:33 +03:00
Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains
Обновлено 2022-08-31 18:22:03 +03:00
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +03:00
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
Обновлено 2021-10-19 10:13:54 +03:00
GitHub Action that allows you to register models to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:13:21 +03:00
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:12:45 +03:00