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

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

advsecurenet

Machine Learning Security Library

robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

strep

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

approx-cp

Python implementation of Approximate full Conformal Prediction (ACP)

famework

Framework for Adversarial Malware Evaluation.

pysyrenn

SyReNN: Symbolic Representations for Neural Networks

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"