A curated list of awesome responsible machine learning resources.
🐢 Open-Source Evaluation & Testing framework for LLMs and ML models
Corruption and Perturbation Robustness (ICLR 2019)
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Open Source LLM toolkit to build trustworthy LLM applications. TigerArmo...
Build LLM apps safely and securely🛡️
Aligning AI With Shared Human Values (ICLR 2021)
RuLES: a benchmark for evaluating rule-following in language models
How to Make Safe AI? Let's Discuss! 💡|💬|🙌|📚
Code accompanying the paper Pretraining Language Models with Human Prefe...
📚 A curated list of papers & technical articles on AI Quality & Safety
A language model (LM)-based emulation framework for identifying the risk...
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
A project to add scalable state-of-the-art out-of-distribution detection...