A curated list of awesome responsible machine learning resources.

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

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

Analyzing and scoring reasoning traces of LLMs

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

Open Symbolic AI Core Repository

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

Reliable medical QA with Mistral-7B, QLoRA, selective prediction, and learned abstention via warm-start SFT + DPO.

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

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

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

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