kukushking's repositories
airflow-cdk
Constructs to deploy airflow via the aws cdk
aws-dataall
A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
autonomous-driving-data-framework
ADDF is a collection of modules, deployed using the SeedFarmer orchestration tool. ADDF modules enable users to quickly bootstrap environments for the process and analysis of autonomous driving data.
aws-cdk-examples
Example projects using the AWS CDK
aws-codeseeder
The aws-codeseeder project enables builders to easily "seed" python code to AWS CodeBuild for remote execution in their cloud environments.
aws-data-wrangler
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
aws-orbit-workbench
A Data Platform built for AWS, powered by Kubernetes.
awswrangler-feedstock
A conda-smithy repository for awswrangler.
bit-playlist-bot
I put all awful gen-z non-music your friends shared in telegram into a playlist so you don't have to.
cpython
The Python programming language
data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
data-on-eks
DoEKS is a tool to build, deploy and scale Data Platforms on Amazon EKS
gen-ai-on-eks
This repository aims to showcase how to finetune a FM model in Amazon EKS cluster using, JupyterHub to provision notebooks and craft both serving and training scripts, RayOperator to manage Ray Clusters and Karpenter to manage Node Scaling.
generative-ai-on-aws
Generative AI on AWS
idf-modules
Industry Data Framework (IDF) IAC modules repository
mlops-modules
MLOps modules repository
my-aws-cdk-examples
Example projects using the AWS CDK (Python)
pandas-ai
PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational
seed-farmer
Seed-Farmer is an orchestration tool that works with AWS CodeSeeder and acts as an orchestration tool modeled after GitOps deployments. It has a CommandLine Interface based in Python, leverages modular code deployments defined by declarative manifests, and includes change detection and deployment optimization.