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
VS Code Jupyter extension
Обновлено 2024-11-20 01:27:22 +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
Обновлено 2024-11-01 00:19:40 +03:00
A Custom Jupyter Widget Library for Power BI
Обновлено 2024-10-14 16:46:28 +03:00
Jacdac widget for Jupyter Lab
Обновлено 2024-10-01 23:32:48 +03:00
Query Kusto like a pro from the comfort of your Jupyter notebook
Обновлено 2024-09-25 12:17:26 +03:00
Extension (Magic) to Jupyter notebook and Jupyter lab, that enable notebook experience working with Kusto, ApplicationInsights, and LogAnalytics data.
Обновлено 2024-09-09 22:33:11 +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
Python interface to WorldWide Telescope 🌌
Обновлено 2024-06-25 23:11:26 +03:00
Resource scheduling and cluster management for AI
machine-learning
tensorflow
ai
jupyter
pytorch
artificial-intelligence
model-training
kubernetes
gpu-scheduler
on-premise
resource-management
scheduling
chainer
cloud
cluster-management
cluster-manager
gpu
gpu-cluster
gpu-computing
Обновлено 2024-06-06 10:56:06 +03:00
Apache Spark Connector for Azure Cosmos DB
spark
jupyter-notebook
cosmos-db
azure-cosmos-db
apache-spark
databricks
pyspark
databricks-notebooks
azure-databricks
connector
changefeed
lambda-architecture
Обновлено 2024-05-21 00:00:20 +03:00
A tool to expose Jupyter notebooks behind a REST API.
Обновлено 2024-05-19 16:54:37 +03:00
Microsoft's IQ# Server.
Обновлено 2024-01-12 21:30:49 +03:00
Library for writing Jupyter kernels in .NET Core
Обновлено 2024-01-12 20:53:45 +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
Jupyter Notebooks on Azure for Genomics Data Analysis
Обновлено 2023-10-09 23:25:33 +03:00
Spit shine for Jupyter notebooks 🧽✨
Обновлено 2023-10-04 02:29:31 +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
WorldWide Telescope embedded as an app within JupyterLab.
Обновлено 2023-08-21 19:24:09 +03:00
A Jupyter Server extension enabling kernels to publish data to predictable URLs
Обновлено 2023-08-19 00:52:11 +03:00
Обновлено 2023-07-13 12:54:21 +03:00
Jupyter Notebook with Python samples for the Cognitive Services Computer Vision API
Обновлено 2023-06-27 16:07:21 +03:00
Project Template for Jupyter Notebooks in Azure Machine Learning Workbench
Обновлено 2023-05-31 21:48:49 +03:00
Interactive Jupyter notebooks for Microsoft Cognitive Services
Обновлено 2023-05-23 00:11:33 +03:00
Time Series Forecasting Best Practices & Examples
machine-learning
python
deep-learning
artificial-intelligence
r
best-practices
jupyter-notebook
automl
lightgbm
hyperparameter-tuning
model-deployment
prophet
retail
tidyverse
time-series
azure-ml
demand-forecasting
dilated-cnn
forecasting
Обновлено 2023-05-01 00:54:37 +03:00
Magic functions for using Jupyter Notebook with Azure Data Service
Обновлено 2023-03-28 19:45:37 +03:00