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

Open-source agentic schema CLI. Optimised for claude code, gemini, codex and co-pilot. Skills included.

Open Symbolic AI Core Repository

Open-source agentic schema for reliable data outputs. Query data through MCP and via our SDK. Create apps, embed data or just simply explore through your preferred agent.

TRIAGE: Characterizing and auditing training data for improved regression (NeurIPS 2023)

Official code for AAAI2025 paper "Mining In-distribution Attributes in Outliers for Out-of-distribution Detection"

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

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

SNGP for uncertainty-aware biomedical image classification and OOD detection.

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