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)

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.

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.

[ICCV 2025] Video Color Grading via Look-Up Table Generation

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

This repository contains a machine learning model designed to generate grading rubrics based on a given question and a sample answer. The model has been fine-tuned on custom data and implemented in a Jupyter Notebook.

Automatic short answer grading AI model with hugging face transformers

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.

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.

Systematically train and benchmark Mistral, Qwen2.5, and SmolLM2 on essay grading across 39 experiments through data analysis and engineering, structured preprocessing, instruction tuning, postprocessing, and leakage aware evaluation for robust score and rationale generation

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.

Automatic stylization color grading model based on RAW files, integrated with latent diffusion model (LDM) to achieve high-fidelity detail rendering.

Finetuning Llama 3.1 8B for grading answers to math questions

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.