#Trustworthy-machine-learning
Showing 8 of 8 repositories tagged #trustworthy-machine-learning, ranked by stars
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Neural Network Verification Software Tool https://www.verivital.com Documentation:
[ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"
A project to 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.
Welcome! 👋 This is the working draft of the Aalto Dictionary of Machine Learning (ADictML) — a growing collection of short, clear definitions for key terms in machine learning.
Privacy-Preserving Machine Learning (PPML) Tutorial
SyReNN: Symbolic Representations for Neural Networks