Support ML teams to accelerate their model deployment to production leveraging Azure

Template for forecasting data science project and identify consumption profiles in time series

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

Data Science Toolkit - Knowledge Mining Solution Accelerator

GLUE is a lightweight, Python-based collection of scripts to support you at succeeding with speech and text use-cases based on Microsoft Azure Cognitive Services.

This is a repo to implement Anomaly Detection which is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations.

CAI Advanced Processing Service is a collection of modules, wrapped in several APIs that help you to enrich your conversational AI applications in the spheres of Validation, Identification and Authentication.

this is a python framework that helps to build any data engineering and data science solutions in Databricks

The object detection solution accelerator provides a pre-packaged solution to train, deploy and monitor custom object detection models using the TensorFlow object detection API within Azure ML.

This is a classification solution accelerator to help you build and deploy a binary classification project.

Template for using the finnts package on Azure Synapse for scalable time series forecasting within corporate finance.