a-lucic / focusLinks
☆16Updated 3 years ago
Alternatives and similar repositories for focus
Users that are interested in focus are comparing it to the libraries listed below
Sorting:
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆12Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- ☆18Updated last year
- A collection of algorithms of counterfactual explanations.☆50Updated 4 years ago
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆12Updated 3 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆30Updated last year
- Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders (RecSys 2021)☆20Updated 3 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated last year
- Learning clinical-decision rules with interpretable models.☆20Updated 2 years ago
- ☆10Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Rule Extraction Methods for Interactive eXplainability☆47Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- ☆30Updated 6 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"☆15Updated 3 years ago
- Uncertainty-aware classification.☆17Updated 3 years ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆63Updated 5 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 5 years ago
- Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…☆12Updated last year
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Updated 4 years ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22Updated 3 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆16Updated 4 years ago