Run FMBench simultaneously across multiple Amazon EC2 machines to benchmark an FM across multiple serving stacks simultaneously
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Updated
Mar 7, 2025 - Python
Run FMBench simultaneously across multiple Amazon EC2 machines to benchmark an FM across multiple serving stacks simultaneously
Automated creation of AWS SSM Patch Manager resources for simple automated patching
A simple Python library for estimating cloud compute carbon emissions.
Projet des creation de sites web sous une architecture microservices grace à flask et React maintenus suivant des test et des integrations continus , empaqueté avec Docker et deployé sur Amazon EC2
With this app, you can fully manage a health clinic website. Made with Python in the Django Framework, PostgreSQL using AWS RDS, HTML, CSS, and Bootstrap. Containerized using Docker and Docker compose. The application was successfully deployed to the AWS EC2 instance.
A blog made using Django. Uses caching, logging, and S3 bucket. With humble front end design.
This project builds a smart security surveillance system using AWS machine learning services and Python. The system processes video streams, detects intruders using AI, and sends alerts in real-time.
Collected scripts for simple reporting on AWS resources & configuration
Implemented Data Warehouse using YELP data using EC2 instance from S3 to Redshift
official submission for the 2022 AWS Deep Learning Challenge
A cloud-based, Python-Selenium-made, automated web scraper to send me a CodeChef problem (with it's solution) everyday at coffee.
Developed a robust ETL pipeline for Next Cola Pvt. Ltd data which extracts data from many different OLTP sources, converts them into dimensions and facts and load into datawarehouse for analytical workload.
Personal website: thiago-tjas.com
학교 공지사항 크롤링봇
Tensorflow-based Anytime Mini-Batch implementation.
Resources for RNA-SEQ pipeline analysis
This is End-To-End Data Engineering Project using Airflow and Python. In this project, we will extract data using Twitter API, use python to transform data, deploy the code on Airflow/EC2 and save the final result on Amazon S3
A simple web application using flask that is deployed on Cloud
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