douglas125 / AzureMLDeploy
A very simple way to deploy any machine learning model using Azure Functions
☆29Updated 5 years ago
Related projects: ⓘ
- Sample Notebooks for PipelineAI☆44Updated last year
- How to do data science with Optimus, Spark and Python.☆18Updated 5 years ago
- ☆19Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated last year
- MLOps simplified. One platform, all the functionality you need. Swiss made☆94Updated last week
- Azure Machine Learning Tutorial (CLI / Python)☆30Updated last year
- H2OAI Driverless AI Code Samples and Tutorials☆37Updated 2 years ago
- ML DevOps using GitHub Actions and Azure Machine Learning☆40Updated 4 years ago
- Advanced analytics samples and templates with Python for ML Server☆58Updated last year
- ☆21Updated 8 months ago
- ☆46Updated this week
- Guide on creating an API for serving your ML model☆65Updated 2 years ago
- Repo containing an end to end example of an image identification app running on Azure Functions and showing capabilities like Remote Buil…☆16Updated 2 years ago
- This repository contains sample code, which is used for a MLOps Workshop☆24Updated last year
- ☆60Updated 2 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- 📝 A blog post about report generation and automation in python☆40Updated 5 years ago
- FloydHub Examples – A collection of boilerplates and examples of machine learning and deep learning models to build, train, and deploy on…☆37Updated 5 years ago
- A CD4ML Example Setup on AWS S3, GitLab with DVC☆24Updated last year
- ☆14Updated last year
- Examples showcasing model deployment☆17Updated 11 months ago
- ☆21Updated last year
- Data Scientist code test☆19Updated 4 years ago
- Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and …☆9Updated 6 years ago
- Production Machine Learning Pipeline for Text Classification with fastText☆32Updated 3 years ago
- Notebook Narratives for Industry from 2017 JupyterCon☆14Updated 7 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆37Updated 3 years ago
- A tutorial in impact encoding for categorical features☆11Updated 6 years ago
- ☆13Updated 4 years ago