Popular GitHub Repositories for Institutional Critique

Advising App by Canyon GBS is an AI-powered conversational assistant for staff, student success platform, and recruitment CRM designed specifically for colleges and universities to enhance student engagement and drive institutional success.

Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"

Use machine learning to make your institutional communication more understandable and inclusive.

Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

Institutional-grade protocol for tokenizing Real-World Assets (RWAs) on Solana. Features: on-chain compliance, KYC/AML verification, and DeFi integrations for global markets.

Cogito：一个计算框架，它自主地运用融合催化剂（综合）和严格的批判系统（分析）。通过大型语言模型（LLM）和arXiv，显著加速你的科学文献专家研究。

The LLM Agent Critique Platform.

MCP server for iterative refinement through self-critique cycles. Based on Hank Besser's recursive-companion, adds incremental processing to avoid timeouts.

Federated Learning for Multi-Institutional Medical Image Segmentation.

distilled Self-Critique refines the outputs of a LLM with only synthetic data

Training Coder Models with Critique Reinforcement Learning

Intelligent chatbot with Indicators Dashboard developed for internal use by a private company, with the aim of providing fast and reliable responses on public data from Brazilian municipalities and states, as well as institutional information from the company itself. The solution integrates scraping, public APIs, LLMs and an interactive interface.

VERITAS OS is a Proto-AGI framework that treats LLMs as a safe, consistent, and auditable decision-making OS. A single /v1/decide call executes a full deterministic pipeline: Evidence → Critique → Debate → Planner → ValueCore → FUJI → TrustLog. Designed for AGI research, AI safety, and self-improving autonomous agents.

Multi-agent system for query processing with safety verification and critique built with Google A2A protocol, Google ADK, Llama Prompt Guard 2, Gemma 3 and Gemini 2.0 Flash.

MCP server for comprehensive visual design analysis - composition, color harmony, typography, and accessibility compliance

List of tools you can use to get the most from your institutional HPC resources

A high-performance, simulated trading environment designed for institutional traders, developers, and financial professionals to test strategies, analyze market behavior, and integrate with APIs in a risk-free setting

? AI-Powered ETF Trading Signals | Low cost | Effective | Institutional-Grade 3-Step Strategy with Multi-LLM Validation | Real-Time Market Analysis | Portfolio Optimization

AI Director is a powerful framework for conducting multi-agent conversations between various AI models and human participants. It enables seamless interaction between different language models (like OpenAI's GPT and Anthropic's Claude), allowing them to collaborate, critique, and complement each other's responses in structured conversations.