Awesome Open Source

Programming Languages

Search results for python ai safety

24 search results found

Awesome Machine Learning Interpretability ⭐ 3,241

A curated list of awesome responsible machine learning resources.

Giskard ⭐ 2,509

🐢 The testing framework for ML models, from tabular to LLMs

Safe Rlhf ⭐ 1,040

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

Guardrail ⭐ 278

Build LLM apps safely and securely🛡️

Thought Cloning ⭐ 217

[NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

Llm_rules ⭐ 172

RuLES: a benchmark for evaluating rule-following in language models

Pretraining With Human Feedback ⭐ 97

Code accompanying the paper Pretraining Language Models with Human Preferences

Aligning AI With Shared Human Values (ICLR 2021)

Diffattack ⭐ 92

An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.

A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use

Safety Score for Pre-Trained Language Models

Toolkit for research purposes in AIS. See the website for the paper.

Entropic Out Of Distribution Detection ⭐ 47

Add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

[ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning

Distinction Maximization Loss ⭐ 34

Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

[CoRL'23] Adversarial Training for Safe End-to-End Driving

LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization

Fssd_ood_detection ⭐ 14

Feature Space Singularity for Out-of-Distribution Detection.

Contranet ⭐ 14

This is the official implementation of ContraNet (NDSS2022).

[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

Promptinject ⭐ 11

PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks.

Llm Cooperation ⭐ 9

Code and materials for the paper S. Phelps and Y. I. Russell, Investigating Emergent Goal-Like Behaviour in Large Language Models Using Experimental Economics, working paper, arXiv:2305.07970, May 2023

Daisybell ⭐ 8

Scan your AI/ML models for problems before you put them into production.

Safe Reward ⭐ 8

a prototype for an AI safety library that allows an agent to maximize its reward by solving a puzzle in order to prevent the worst-case outcomes of perverse instantiation

LAWLIA is an open-source computational legal framework designed to revolutionize legal reasoning and analysis. It combines the power of large language models with a structured syntactical grammar to facilitate precise legal assessments, truth values, and verdicts. LAWLIA is the future of computational jurisprudence

Related Searches

Python Machine Learning (20,195)

Python Dataset (14,792)

Python Deep Learning (13,092)

Python Testing (9,479)

Python Natural Language Processing (9,064)

Python Artificial Intelligence (8,580)

Python Pytorch (7,877)

Python Paper (6,544)

Python Classification (6,083)

Python Data Science (4,679)

1-24 of 24 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.