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Sergiy Shevchenko's Projects

examples icon examples

Infrastructure, containers, and serverless apps to AWS, Azure, GCP, and Kubernetes... all deployed with Pulumi

generative-ai-application-builder-on-aws icon generative-ai-application-builder-on-aws

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

git-secrets icon git-secrets

Prevents you from committing secrets and credentials into git repositories

graph-notebook icon graph-notebook

Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

hammer icon hammer

Dow Jones Hammer : Protect the cloud with the power of the cloud(AWS)

imagebuilder icon imagebuilder

Builds Dockerfile using the Docker client (with squashing! and secrets!)

jitsi-meet icon jitsi-meet

Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.

jitsi-videobridge icon jitsi-videobridge

Jitsi Videobridge is a WebRTC compatible video router or SFU that lets build highly scalable video conferencing infrastructure (i.e., up to hundreds of conferences per server).

jsii icon jsii

jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase!

jupyter-notebook-for-incident-response icon jupyter-notebook-for-incident-response

A library of Incident Response notebooks using Jupyter. We will show how you can leverage pre-defined notebook files to guide your incident responders in identifying, containing, eradicating, and recovering from an incident.

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