Bruno Pistone's repositories
nginx-vue-docker
My website realized with vuejs framework
vue-separated-html-without-webpack
Vue webapplication with separated vue javascript components from their html
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
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
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awesome-sagemaker
A curated list of references for Amazon SageMaker
gradle-springboot-jersey
Sample of a webapp using gradle, Springboot, Jersey and AngularJS
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.
ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH
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.