scikit-learn compatible tools for building credit risk acceptance models
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Updated
Feb 9, 2025 - Python
scikit-learn compatible tools for building credit risk acceptance models
Open, config-first, scorecard editor for baseball nerds
Automatic optimal discretization pipeline
Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API
The Galaxy framework is Rely.io's integration solution, enabling simple connections to third-party APIs. Built in Python, it features reusable components and uses JQ syntax to map retrieved data into the Rely data model.
an ios app to create golf scorecards and track the players' statistics
Cortex is an Engineering Operations (EngOps) platform and internal developer portal that helps engineering teams catalog services, enforce production readiness with scorecards, automate self-service workflows, and surface engineering intelligence across their organization.
An interactive front end to industry knowledge about building and running Security Teams
Public-safe demo of the Gauges Green AI harness for senior operators
This repository contains code accompanying the paper "When Do Data-Driven Systems Exhibit the Capability to Infer?"
Score model outputs against explicit rubrics with an Azure-backed judge, deterministic aggregation, and diffable JSON reports.
Configure8 is a commercial Internal Developer Portal (IDP) that gives engineering organizations a unified catalog of services, environments, and resources, with dependency mapping across cloud and on-premises infrastructure.
The Cricket Score Panel is a web app for managing and displaying cricket match scores in real-time. It tracks runs, wickets, overs, player stats, and bowler performance with an intuitive interface. Key features include easy updates for events like wickets, strike changes, and run-outs. Built with HTML, CSS, and JavaScript, it simplifies cricket.
This API is documented in the OpenAPI format and provides programmatic access to Port and its components.
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