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auto-annotate

Auto-Annotate - Automatically annotate your entire image directory by a single command. As simple as saying - "Annotate all the street sign (label) in the autonomous car dataset (directory)" and BAM! DONE. Each and every image with a street sign in the diverse dataset directory containing images of all sorts which have a street sign are filtered and the segmentation annotation is performed in a single command. The Auto-Annotate tool provides auto annotation of segmentation masks for the objects in the images inside some directory based on the labels. Auto-Annotate is able to provide automated annotations for the labels defined in the COCO Dataset and also supports Custom Labels.

aws-glue-libs

AWS Glue Libraries are additions and enhancements to Spark for ETL operations.

aws-glue-samples

AWS Glue code samples

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

data-processing-using-pyspark

In this project, the goal is preprocessing of text data using distributed processing .

examples

Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.

intro-to-java-programming

Solutions to Introduction to Java Programming by Y. Daniel Liang. 10th Edition

maven

Apache Maven core

medical_image_analysis

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

ml_training

mlops

MLOps examples

mlops-on-gcp

mlops_workshop

Azure MLOps

mlopspython

MLOps using Azure ML Services and Azure DevOps

mslearn-dp100

Lab files for Azure Machine Learning exercises

pipelines

Machine Learning Pipelines for Kubeflow

scalable-machine-learning-with-apache-spark-english

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

x-ray

x-ray_v2