Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-23 00:06:20 +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
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Обновлено 2024-11-18 23:05:01 +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
MLOps examples
Обновлено 2024-08-02 19:21:39 +03:00
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation [ICML 2021]
Обновлено 2024-03-27 20:07:44 +03:00
Demonstration content for AML v2 and MLOps v2
Обновлено 2024-02-02 00:22:41 +03:00
A library of workshops written by and for Microsoft Learn Student Ambassadors and Cloud Advocates and their local communities
Обновлено 2024-01-20 01:38:58 +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
FastTrack for Azure AzureML Live event
Обновлено 2023-07-28 08:06:17 +03:00
Azure AI Camp - 2 day workshop on Databricks and Azure ML
Обновлено 2023-07-23 07:44:56 +03:00
Advanced analytics samples and templates with Python for ML Server
Обновлено 2023-06-12 23:27:15 +03:00
Campaign optimization solution with SQL Server ML Services
Обновлено 2023-06-12 23:01:40 +03:00
Text classification solution with Microsoft Machine Learning Server
Обновлено 2023-06-12 22:32:06 +03:00
Quick useful examples of data science & ML & big data
Обновлено 2023-06-12 22:28:36 +03:00
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
nlp
pytorch
azure-machine-learning
language-model
bert
tuning
finetuning
pretraining
azureml-bert
bert-model
pretrained-models
Обновлено 2023-06-12 21:59:00 +03:00
This repository contains training material related to Azure and Machine Learning
Обновлено 2023-03-28 19:45:54 +03:00
Sample Project for creating an RRS Recommendation System using AzureML
Обновлено 2023-03-28 19:45:47 +03:00
This Repository includes documentation and code regarding how to use the Azure Machine Learning service and Power BI together to use AI insights and AML deployed Machine Learning Models
Обновлено 2023-03-28 19:44:24 +03:00
ML-based medical imaging using Azure
Обновлено 2023-03-10 14:40:49 +03:00
Simple image classifier that introduces machine learning with Codespaces
Обновлено 2022-10-01 02:15:20 +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
Private Preview: Responsible AI Tooling in Azure Machine Learning
Обновлено 2022-03-28 19:01:33 +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
Preview: Test dataset support in Azure AutoML
Обновлено 2021-11-17 02:45:23 +03:00
AutoML code generation
Обновлено 2021-10-05 19:31:01 +03:00