Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
-
Updated
Feb 23, 2024 - Python
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
⚡️ Transform AI/ML operations: Transparency, Control and Cost Optimization. ⚡️
Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.
This script processes files within a project directory by minifying JavaScript files and copying other file types to a specified output directory. It leverages the Terser library for minification and tracks the size reduction achieved, reporting in kilobytes.
A leaf-based algo to optimize resources of cloud applications. Patterns of leaves can be used to decipher a nature-based resource optimization algorithm by analyzing the patterns in the leaves to determine the abundance and distribution of resources in a given area. The requirement of computing resources can be compared with requirement of a leaf.
Social-based resource sharing network
Streamline Kubernetes cluster management and gain real-time insights with Prometheus and Grafana monitoring through a user-friendly web-based dashboard.
A render graph based Vulkan rendering engine.
Package microbatch groups tasks into small batches, e.g. to reduce the number of round trips.
A comprehensive project showcasing the development of a Hospital Data Warehouse for Services Hospital Lahore, featuring ETL workflows, data mining with KNIME, and interactive Power BI visualizations to improve operational efficiency and patient care.
Add a description, image, and links to the resource-optimization topic page so that developers can more easily learn about it.
To associate your repository with the resource-optimization topic, visit your repo's landing page and select "manage topics."