Popular GitHub Repositories for Eligibility Screening

AI-powered tool for efficient abstract and PDF screening in systematic reviews.

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

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

active learning for accelerated high-throughput virtual screening

An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

Fever screening with IR & RGB cameras and Deep CNNs

AI-Powered Resume Speed Screening

C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.

daily stock screening by using Mark Minervini's volatility contraction pattern detection, stage 2 template searching and news sentiment analysis by openAi api

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world.

Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022

? Federated ? Supervised ? Multimodal ? Retina Screening ? Label Noise ? Differential ✈ advanced AI ? driven medical ? imaging ⛱ research ? that combines ? the power of ? Federated ? Learning ? Supervised ? Learning ⛴ Differential ? to enable ? secure ? collaborative ? privacy ? preserving ? retinal ? disease ? detection ?

A BUDE virtual-screening benchmark, in many programming models

A multi-agent recruitment assistant that leverages Microsoft AutoGen framework to streamline hiring processes. The system employs specialized AI agents working in concert to automate resume screening, candidate evaluation, and interview preparation.

Local, privacy-friendly resume analysis: convert, classify, and get advice using TF‑IDF, Logistic Regression, and sentence-transformer embeddings.

Extract Molecular SMILES embeddings from language models pre-trained with various objectives architectures.

End-to-end financial text-analysis using Bigdata API and the Bigdata-Research-Tools library. Ready-to-use notebooks with RAG & GenAI enabling thematic and risk screening, trend tracking, and automated report generation, extracting insights at scale.

The repository aims to create an overview and comparison of software used for systematically screening large amounts of textual data using machine learning.

A face recognition based real-time security screening system.