Real-time ADLs and Fall Detection implement TensorFlow
-
Updated
Nov 7, 2018 - Python
Real-time ADLs and Fall Detection implement TensorFlow
Activity Assistant provides a platform for logging, evaluating and predicting Activities of Daily Living for Home Assistant.
Contains data preprocessing and visualization methods for ADL datasets.
Fluentd output plugin for Azure Datalake Storage Gen2 (append support)
HDInsight provider for Airflow
File Source to read data from distributed file system
List of my data engineering projects
Terraform module for terraform-azure-adls-gen2
Terraform module for terraform-azure-adls-gen1
An end-to-end ETL pipeline that extracts data from an Azure SQL Server database, transforms the data using Databricks, and loads the transformed dataset into Azure Data Lake Storage (ADLS).
Add a description, image, and links to the adls topic page so that developers can more easily learn about it.
To associate your repository with the adls topic, visit your repo's landing page and select "manage topics."