A curated list of awesome responsible machine learning resources.

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

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

Implementation of a custom DeepPoly abstract domain transformer for Sigmoid Parabola-Unit activation function using PyTorch

Reliable and Trustworthy Intelligence AI notebooks from ETH Zurich course taught by Prof. Dr. Martin Vechev

Repository for the Reliable and Trustworthy AI project offered in Fall 2021 at ETH Zürich

Official source codes for implementing "Design of reliable technology valuation model with calibrated machine learning of patent indicators"