A curated list of awesome responsible machine learning resources.
-
Updated
Aug 15, 2024
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)
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 course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks
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
Add a description, image, and links to the reliable-ai topic page so that developers can more easily learn about it.
To associate your repository with the reliable-ai topic, visit your repo's landing page and select "manage topics."