👷 TypeScript's largest type utility library

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

🔐CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!

A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

List of resources about programming practices for writing safety-critical software.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

The quantities and units library for C++

☕ Latte: the safest & truly intuitive templates for PHP. Engine for those who want the most secure PHP sites.

Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。

Open-source vulnerability disclosure and bug bounty program database

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.

A robust option type for C#

Web 端反爬技术方案

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

保护你的浏览器指纹 | Protect Your Browser Fingerprints | Chrome, Edge, Firefox | 扩展 / Extension

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

The repository is for safe reinforcement learning baselines.

Extra strict and opinionated rules for PHPStan

µC/OS-II is a preemptive, highly portable, and scalable real-time kernels. Designed for ease of use on a huge number of CPU architectures.

🌍 A repository of blocklists for various DNS servers, featuring over 100 links and more than 6 million domains. Additionally, you can use our personalized Blocklist Generator to customize content filtering according to your individual needs, giving you full control over what should be blocked on your network.