Landlords, multi-family homes, manufactured home communities, single family homes, associations, commercial properties and mixed portfolios.
Rent Manager is award-winning property management software built for residential, commercial, and short-term-stay portfolios of any size. The program’s fully customizable features include a double-entry accounting system, maintenance management/scheduling, marketing integration, mobile applications, more than 450 insightful reports, and an API that integrates with the best PropTech providers on the market.
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eProcurement Software
Enterprises and companies seeking a solution to manage all their procurement operations and processes
eBuyerAssist by Eyvo is a cloud-based procurement solution designed for businesses of all sizes and industries. Fully modular and scalable, it streamlines the entire procurement lifecycle—from requisition to fulfillment. The platform includes powerful tools for strategic sourcing, supplier management, warehouse operations, and contract oversight. Additional modules cover purchase orders, approval workflows, inventory and asset management, customer orders, budget control, cost accounting, invoice matching, vendor credit checks, and risk analysis. eBuyerAssist centralizes all procurement functions into a single, easy-to-use system—improving visibility, control, and efficiency across your organization. Whether you're aiming to reduce costs, enhance compliance, or align procurement with broader business goals, eBuyerAssist helps you get there faster, smarter, and with measurable results.
This repository contains the complete code and data for studying primo
Primordial Photon–Dark Photon Entanglement
A research and analysis framework for testing the Photon–Dark Photon Entanglement Hypothesis, analyzing astronomical imaging data, and generating reproducible physics validation results using HST, JWST, and other observatory FITS products.
🚀 Overview
This repository provides:
Physics Validation Tests that compute predicted P–D entanglement observables.
Expected Numerical Results for cross‑checking model predictions.
Automated...
2D and 3D Face alignment library build using pytorch
Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning-based face alignment method. For numerical evaluations, it is highly recommended to use the lua version which uses identical models with the ones evaluated in the paper.