Popular GitHub Repositories for Loan Status

Stunning status pages, batteries included!

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

This is a repository that aims to provide updates on the status of jailbreaking the OpenAI GPT language model.

? Modern self-hosted uptime monitoring solution - Monitor websites, APIs, and services with real-time notifications, beautiful status pages, and comprehensive analytics. Built with Go, React, and MongoDB.

? The all-in-one tool, for keeping track of your domain name portfolio. Got domain names? Get Domain Locker!

Deep learning in motion deblurring: current status, benchmarks and future prospects[J], The Visual Computer, 2024.

A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).

Amazon SageMaker Solution for explaining credit decisions.

Tinfoil shops status. Check which tinfoil shops are active and working for Nintendo Switch.

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Connects MCP to major 3D printer APIs (OctoPrint, Klipper, Duet, Repetier, Bambu, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, rotation, sectional editing, and base extension. Includes slicing and visualization.

Applying machine learning to predict loan charge-offs on LendingClub.com

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects

Claude Project Coordinator is a Swift-powered MCP (Model Context Protocol) server designed to streamline multi-project Xcode development. It lets you track project status, auto-detect frameworks, search code patterns, and maintain a structured development knowledge base — all locally, with Claude Desktop as your assistant.

A Deep Learning Based Attendance System is a mobile application that aims to make it easier for lecturers to check the attendance status of students which are attending the course.

Simple Copilot status indicator for Neovim

A macOS status bar application that monitors Claude Code usage in real-time.

A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (XGBoost, LightGBM, CatBoost) and Deep Neural Network are used to develop a binary classifier and their performances were compared.

Loan approval prediction is a popular machine learning project, especially in the banking and finance industry. The goal of this project is to build a predictive model that can determine whether a loan application will be approved or not based on the applicant's information such as income, credit history, and loan amount.

Simple system tray application to monitor the status of your LLM models running on Ollama