Popular GitHub Repositories for Grading

Custom Nodes for ComfyUI that perform color grading based on the latent tensor value range

An Extension for Automatic1111 Webui that performs color grading based on the latent tensor value range

Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms to train model. WebApp was created using Flask framework.

MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.

Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the available tool, methods, repo, code etc to detect hallucination, LLM evaluation, grading and much more.

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.

Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)

Tutor-Ai is a SaaS platform for teachers to manage class quizzes and grade student submissions using OCR technology. Built with Django, it features Llama-3 & Gemma:7b, Google Vision API integration for automatic grading, and is hosted on Google Cloud. It offers a secure, scalable, and user-friendly solution for educators.

Automatic Evaluation of Textual Answers on the famous Kaggle Automated Essay Scoring (AES) dataset.

Automatic short answer grading AI model with hugging face transformers

Team LLMAO's submission for EY Techathon 4.0 addresses the education challenge with AI-powered content generation, automated grading, and personalized learning. Our prototype enhances accessibility, user engagement, and learning progress metrics, aiming to revolutionize education for students like Rani facing language and infrastructure barriers.

This project implements an advanced Retrieval Augmented Generation (RAG) workflow to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and web search fallback.

AutoGrade Backend is a server-side application designed to automate the grading process. It processes submissions, evaluates results, and provides structured feedback. Built with Node.js and Express, it integrates with PDF processing tools, recognition systems, and cloud storage for efficient and scalable evaluation.

KL severity grading using SE-ResNet and SE-DenseNet architectures trained with Cross Entropy loss and Focal Loss. The hyperparameters of focal loss have been fine-tuned as well. Further, Grad-CAM has been implemented for visualization purposes.

Finetuning Llama 3.1 8B for grading answers to math questions

MCQ_Grading_Bot is an AI-powered tool that grades solved MCQ exam sheets from images using Gemini Vision. It extracts student info, checks answers, calculates score, and displays detailed results—all through a simple Gradio interface in Colab.

Configuration-driven automated grading system for programming assignments with multi-LLM evaluation, GitHub integration, and comprehensive cost tracking

Short Answer Grading with Active Learning (Prototype Implementation and Experiments)

AI-powered application that leverages LLMs for automated essay grading, offering consistent, rubric-based scoring and structured feedback to improve efficiency and support educators.

A web app developed using the Laravel Framework to annotate and grade student responses from quizzes and exams to generate data for NLP research.