Paul Vincent
PaulVincent707
Principal AI Engineer at AWS
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Real-time polling app using AWS IoT Core with accelerometer-controlled mobile voting
ReInvent 2018 session ARC329 - Massively Parallel Data Processing at Scale
AI agents running research on single-GPU nanochat training automatically
Antenna switch solution
test repo
Repositories
23AI agents running research on single-GPU nanochat training automatically
Antenna switch solution
Real-time polling app using AWS IoT Core with accelerometer-controlled mobile voting
No description provided.
test repo
Weather Data obtained from APRS stations
FT8 library
MCP Server for Harvest
A curated list of Model Context Protocol (MCP) servers
Run any AWS Lambda function as a Large Language Model (LLM) tool without code changes using Anthropic's Model Control Protocol (MCP).
Arduino Library for Sensirion's Gas Index Algorithm, providing a VOC and NOx Index output signal calculated from the SGP40/41 raw signals
ElkM1 Python package
Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution maintains an inventory of the AWS resources across your accounts and regions, mapping their relationships and displaying them in the user interface.
Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.
📡 Python module for working with APRS
AWS Custom CDK Resources for Lex
Dire Wolf is a software "soundcard" AX.25 packet modem/TNC and APRS encoder/decoder. It can be used stand-alone to observe APRS traffic, as a tracker, digipeater, APRStt gateway, or Internet Gateway (IGate). For more information, look at the bottom 1/4 of this page and in https://github.com/wb2osz/direwolf/blob/dev/doc/README.md
ReInvent 2018 session ARC329 - Massively Parallel Data Processing at Scale
This repo presents a demo application for realtime livestream video quality monitoring using AWS serverless and AI/ML services.
Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
Recursion with Towers of Hanoi Puzzle
Various workshop labs that make use of pywren to massively process data in parallel with AWS Lambda