divelab/GOOD

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

/ 100

Emerging

207 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 9 / 25

Community 14 / 25

Stars

207

Forks

Language

Python

License

GPL-3.0

Category

Last pushed

Feb 21, 2025

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/divelab/GOOD"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

cleverhans-lab/cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Trusted-AI/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion,...

bethgelab/foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

BorealisAI/advertorch

A Toolbox for Adversarial Robustness Research

DSE-MSU/DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs