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
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
MCW CosmosDB real-time advanced analytics
Обновлено 2022-07-01 20:07:33 +03:00
An implementation of the temporal cluster matching method for detecting change in structure footprints from time series of remotely sensed imagery.
Обновлено 2021-11-03 07:10:57 +03:00
A tutorial demonstrating how to implement deep learning models for time series forecasting
Обновлено 2020-11-13 21:01:26 +03:00
Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning
Обновлено 2020-08-27 21:49:15 +03:00
AKS Deployment Tutorial
Обновлено 2020-02-12 05:11:52 +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