Wojtek Gawroński's starred repositories
open-interpreter
A natural language interface for computers
EventSourcing.NetCore
Examples and Tutorials of Event Sourcing in .NET
data_to_viz
Leading to the dataviz you need
serverless-hexagonal-template
Highly opinionated project template for Serverless Framework that follows and applies hexagonal architecture principle to serverless world. Prepared with easy testing in mind.
rust-mlops-template
A work in progress to build out solutions in Rust for MLOPs
aws-ddk-examples
A collection of examples built with AWS DataOps Development Kit (DDK)
aws_well_arch_chatbot
A ChatGPT powered chatbot for the AWS Well-Architected Framework
building-gen-ai-agent-on-aws
Building an AWS Solution Architect Agent with Generative AI
aws-lambda-and-cqrs-a-winning-combination
Command-Query Responsibility Segregation (CQRS) is often presented as a pattern focused on scaling by separating reads and writes. However, this is an architecture-level pattern that has nothing to do with infrastructure. At AWS re:Invent 2023 session (BOA211) we explored the right way of combining AWS Lambda and CQRS together.
polish-gec-datasets
Polish datsets for grammatical error correction
bookstore-demo-app-with-authz
Authorization is one of the foundational needs when building your applications and services. Learn how, with the help of Cedar and Amazon Verified Permissions, to to add non-trivial authorization rules to your web application.
stateful-workloads-in-iac
When applying DevOps best practices and implementing infrastructure as code (IaC) for your projects, you have to make a decision: should you combine or separate components that store information (like databases) and other components that don’t? The duality of the question suggests that there is only one right answer. But is it, really?
aws-sam-ts-functions-layers
Boilerplate project to build and use Typescript functions and layers with SAM
deploying-trurl-2-on-amazon-sagemaker
Deploying TRURL 2 on Amazon SageMaker. TRURL 2 is a Large Language Model (LLM), which is a fine-tuned version of LLaMA 2 with support for Polish language developed by VoiceLab and published at the company profile on Hugging Face (https://huggingface.co/Voicelab).