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A curated list of awesome responsible machine learning resources.
Open-source framework for uncertainty and deep learning models in PyTorch :seedling:
Analyzing and scoring reasoning traces of LLMs
TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)
Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks
Reliable and Trustworthy Intelligence AI notebooks from ETH Zurich course taught by Prof. Dr. Martin Vechev
Implementation of a custom DeepPoly abstract domain transformer for Sigmoid Parabola-Unit activation function using PyTorch
Repository for the Reliable and Trustworthy AI project offered in Fall 2021 at ETH Zürich