RaoulHeese / qshaptools
Experimental toolbox for quantum Shapley values.
☆10Updated last year
Alternatives and similar repositories for qshaptools
Users that are interested in qshaptools are comparing it to the libraries listed below
Sorting:
- A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure☆14Updated last year
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 9 months ago
- Implementation of Tabular Neural Gradient Orthogonalization and Specialization (TANGOS). A regularizer for neural networks described in o…☆18Updated 2 years ago
- ☆23Updated 5 months ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- [NeurIPS 23] Characterizing OOD Error via Optimal Transport☆13Updated last year
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆145Updated 10 months ago
- Code for paper "Copula-based conformal prediction for Multi-Target Regression"☆33Updated 4 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 8 months ago
- ☆16Updated 3 years ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆26Updated 10 months ago
- ☆49Updated 5 months ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆28Updated last year
- A package for conformal prediction with conditional guarantees.☆55Updated 2 months ago
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆9Updated 3 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆28Updated 2 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Updated 2 months ago
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆14Updated last year
- Personal coach to help you obtain desired AI decisions!☆17Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆128Updated 2 years ago
- ☆17Updated 2 years ago
- Research on Tabular Foundation Models☆50Updated 5 months ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆154Updated last year
- Generalized Kraskov Estimator for Normalized Mutual Information☆16Updated 5 months ago
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…☆116Updated last year
- Extending Conformal Prediction to LLMs☆66Updated 10 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆79Updated last year
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆45Updated 2 years ago