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Trustworthy Machine Learning Python Packages

Python packages with the GitHub topic trustworthy-machine-learning. Sorted by relevance, with stars and monthly downloads.
torch-uncertainty
torch-uncertainty

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

3K 501 42
IBM
infairness

PyTorch package to train and audit ML models for Individual Fairness

3K 67 8
HowieHwong
trustllm

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

1K 625 67
melihcatal
advsecurenet

Machine Learning Security Library

348 6 6
dlmacedo
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.

255 18 3
raphischer
strep

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

208 12 0
cambridge-mlg
approx-cp

Python implementation of Approximate full Conformal Prediction (ACP)

197 11 1
zRapha
famework

Framework for Adversarial Malware Evaluation.

151 36 8
95616ARG
pysyrenn

SyReNN: Symbolic Representations for Neural Networks

125 41 5
Crisp-Unimib
contrxt

a tool for comparing the predictions of any text classifiers

112 27 2
95616ARG
prdnn

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

41 10 4
cambridge-mlg
acp-package

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

5 11 1
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