Sabrina Lameiras's Projects
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
Auto-loading, self-validating, minimalist python framework for Amazon Web Service Lambdas
Roadmap to becoming an Artificial Intelligence Expert in 2022
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
This is a workshop designed for Amazon Bedrock a foundational model service.
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
Git repo for Analysis Services samples and community projects
Code for the book Analytical Skills for AI and Data Science
Open Source documentation for the Azure Architecture Center on Microsoft Docs
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
This repo includes ChatGPT prompt curation to use ChatGPT better.
An opinionated list of awesome Python frameworks, libraries, software and resources.
Example projects using the AWS CDK
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
Predictive Maintenance for Vehicle Fleets
A modular and comprehensive solution to deploy a multi LLM powered chatbot (Amazon Bedrock, HuggingFace, OpenAI, AI21, Cohere) using AWS CDK on AWS
Estrutura de desenvolvimento dos aplicativos testes que estou desenvolvendo em LLM-GEN-AI
SDK for connecting to AWS IoT from a device using Python.
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
Machine Learning University: Accelerated Computer Vision Class
Machine Learning University: Accelerated Natural Language Processing Class
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pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Code and walkthrough labs to set up serverless applications for Wild Rydes workshops