Curate, Annotate, and Manage Your Data in LightlyStudio.

Code for "DISCO: Disentangled Communication Steering for Large Language Models" (NeurIPS 2025) https://openreview.net/pdf?id=c8AjdgdHnD

Source code for the Spiro-CLF model

Source code for the Wasserstein Globalness method

Shapley Interactions and Shapley Values for Machine Learning

Implementation of GPEC and related experiment code, as described in "Boundary-Aware Uncertainty for Feature Attribution Explainers"

This is the code for the publication titled "Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions" at AISTATS'24.

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

Refine high-quality datasets and visual AI models

Code for our NeurIPS 2023 Paper: SmoothHess: ReLU Network Feature Interactions via Stein’s Lemma

Train ImageNet *fast* in 500 lines of code with FFCV

Riemannian metrics to measure distances in latent space of VAEs

Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)

Bivariate Shapley is a Shapley-based method of identifying directional feature interactions and feature redundancy

This is code for paper published in neurips 2020