Popular GitHub Repositories for Diagnostics

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot. ? Designed for healthcare professionals, researchers and patients.

DoctorGPT brings GPT into production for application log error diagnosing!

Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"

yc-360 Script is a lightweight diagnostic script that captures comprehensive troubleshooting artifacts (like Application logs, GC logs, thread dumps, heap dumps, OS-level metrics) from environments like Linux, Windows, Docker, Kubernetes, and OpenShift.

Simple LLM interaction for Neovim. Ask questions, manage context (files, URLs, selections, diagnostics, command output), and chat with your favorite Large Language Models without leaving your editor. Highly configurable.

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

Our project uses state-of-the-art deep learning techniques to tackle a vital medical task: polyp segmentation from colonoscopy images. We harness the Unet++ architecture and a robust tech stack to precisely detect and isolate polyps, advancing healthcare diagnostics and patient care. ??

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.

VS Code extension that exposes diagnostic problems via Model Context Protocol (MCP) for AI agents and tools

LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.

Diagnostic CLI tool for Python Azure Functions environment and configuration checks.

? An AI-Driven Medical Chatbot Utilizing Retrieval-Augmented Generation for Improved Diagnostics and Patient Interaction

UkrVectōrēs (former docsim) – an NLU-powered tool for knowledge discovery, classification, diagnostics and prediction. Entities similarity tool. ?нструмент, "когн?тивно-семантичний калькулятор", що працю? на основ? NLU, для виявлення, класиф?кац??, д?агностики та прогнозування знань.

An advanced AI-powered solution enhances network diagnostics by leveraging large language models (LLMs). It parses various logs to identify patterns and anomalies, providing actionable insights for diagnosing and resolving network issues efficiently. This simplifies analysis, enabling quicker and more accurate problem detection and resolution.

Official Keras implementation for "On-Edge Deployment of Vision Transformers for Medical Diagnostics Using the Kvasir-Capsule Dataset."

The most advanced Jenkins MCP server available - Enterprise debugging, multi-instance management, AI-powered failure analysis, vector search, and configurable diagnostics for complex CI/CD pipelines.

In the realm of medical research and diagnostics, the classification and analysis of cancer-related data hold immense importance. Leveraging state-of-the-art natural language processing (NLP) techniques, this project endeavors to classify textual data associated with cancer-related information using BERT - a powerful LLM developed by Google.

AI powered symptom simulator and diagnostic trainer for medical students