Popular GitHub Repositories for Eligibility Criteria

A lightweight tool for integrating and testing SheerID verification workflows. It simplifies API requests, handles responses, and supports eligibility checks for programs like student.

Explorations into training LLMs to use clinical calculators from patient history, using open sourced models. Will start with Wells' Criteria

An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).

Automate your LinkedIn job applications with AI! This bot utilizes GPT models such as GPT-4, GPT-3.5, and Google's Gemini Pro for Easy Apply form filling, customizable to your preferences and job search criteria.

This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under conditions of uncertain commitment of EV owners. The problem is modelled as a multi-objective multi-agent cooperative game. Project is part of fulfillment criteria for ECE 730 course at the University of Alberta.

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

The most extensive open massively multilingual corpus of datasets for training sentiment models. The corpus consists of 79 manually selected from over 350 datasets reported in the scientific literature based on strict quality criteria and covers 27 languages.

An automated assignment grading system that leverages LLMs and AI to enhance grading efficiency and reliability. It includes modules for data input, criteria definition, AI integration, consistency checks, and comprehensive reporting, aimed at improving educational outcomes.

JobSearch-Agent automates job searching by scraping listings, filtering based on user preferences, and managing applications. Easily customize search criteria, track progress, and streamline your job hunt with this efficient, Python-powered tool.

Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria

Generation of musical phrases that receive maximum score according to configurable evaluational criteria.

This repository uses Text mining and natural language processing algorithms for screening objectively thousands of resumes in a few minutes without bias to identify the best fit for a job opening based on thresholds, specific criteria or scores.

This repository contains a machine learning-based predictive model for automating loan eligibility assessments. Using features such as demographic details, loan information, and credit history, the model predicts whether a loan should be approved or denied.

The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue. It includes several steps through which a few errors were reached, all ranging between 0.25 for each criterion. The values ??of the weights that were reached can also be used to deal with the issue as a classification process (but it was not dealt with as well in this proposed methodology).

Code for my paper: "Theta sequences as eligibility traces: a biological solution to credit assignment"

This repo analyzes Open Source Diffusion models for generating photorealistic images, focusing on criteria like execution time, CPU/RAM usage, photorealism, steerability, and resource optimization to identify the most efficient pipeline for high-quality image production.

Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.

Ask a bunch of questions. If patient falls within the criteria it performs FRT.

k6 extension for generating HIPAA X12 EDI transactions for healthcare load testing. Supports 837P/837D claims, 835 payments, 270/271 eligibility, and 276/277 claim status with HIPAA 5010 compliance.

A machine learning model built with spaCy to extract key information from job criteria provided in sentence form. It leverages natural language processing to identify essential data points, such as required skills, qualifications, and experience, making it easier to analyze job requirements and streamline candidate matching.