Popular GitHub Repositories for Risk Mitigation

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

A Python package to assess and improve fairness of machine learning models.

ARCH models in Python

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Build your autonomous hedge fund in minutes. AutoHedge harnesses the power of swarm intelligence and AI agents to automate market analysis, risk management, and trade execution.

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

A wechat robot based on ChatGPT with no risk, very stable! ?

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

Tensor network based quantum software framework for the NISQ era

This repository contains Cursor Security Rules designed to improve the security of both development workflows and AI agent usage within the Cursor environment. These rules aim to enforce safe coding practices, control sensitive operations, and reduce risk in AI-assisted development.

An Ethical Trajectory Planning Algorithm for Autonomous Vehicles

up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

Credit Risk analysis by using Python and ML

RedFlag uses AI to identify high-risk code changes. Run it in batch mode for release candidate testing or in CI pipelines to flag PRs and add reviewers. RedFlag's flexible configuration makes it valuable for any team.

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection