Trustworthy Machine Learning Python Packages

torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

infairness

PyTorch package to train and audit ML models for Individual Fairness

trustllm

TrustLLM

advsecurenet

Machine Learning Security Library

robust-deep-learning

The Robust Deep Learning Library

approx-cp

Implementation for the paper "Approximating full conformal prediction at scale via influence functions"

strep

Initiating a paradigm shift in reporting and helping with making ML advances more considerate of sustainability and trustworthiness.

pysyrenn

SyReNN: Symbolic Representations for Neural Networks

famework

Framework for Adversarial Malware Evaluation.

contrxt

a tool for comparing the predictions of any text classifiers

prdnn

Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."

acp-package

Implementation for the paper "Approximating full conformal prediction at scale via influence functions"