Bruno Pistone (brunopistone)

brunopistone

Geek Repo

Company:Amazon Web Services

Location:Milan, Italy

Home Page:brunopistone.com

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Bruno Pistone's repositories

nginx-vue-docker

My website realized with vuejs framework

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vue-separated-html-without-webpack

Vue webapplication with separated vue javascript components from their html

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sm-end-to-end-mlops

This is a sample code repository for demonstrating how to organize your code for build and train your model, by starting from an implementation through notebooks for arriving to a code structure architecture for implementing ML pipeline using Amazon SageMaker Pipeline, and how to setup a repository for deploying ML models using CI/CD. This repo is based on a NLP project for sentiment analysis

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amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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awesome-sagemaker

A curated list of references for Amazon SageMaker

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gradle-springboot-jersey

Sample of a webapp using gradle, Springboot, Jersey and AngularJS

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multi-model-train-template

The purpose of this template is to deploy a Sagemaker Training Pipeline for parallel training of multiple models, and a scheduled batch inference using SageMaker Batch Transform and SageMaker Pipelines, given two `ModelGroupPackageName` from the Amazon SageMaker Model Registry.

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ragas

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

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sagemaker-ssh-helper

A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH

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sm-iot-end-to-end

This is a sample code repository for demonstrating how to organize your code for build and train your model, by starting from an implementation through notebooks for arriving to a code structure architecture for implementing ML pipeline using Amazon SageMaker Pipeline, and how to setup a repository for deploying ML models using CI/CD.

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