vanderschaarlab / evaluating-generative-modelsLinks
☆30Updated 2 years ago
Alternatives and similar repositories for evaluating-generative-models
Users that are interested in evaluating-generative-models are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 7 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- For calculating Shapley values via linear regression.☆68Updated 4 years ago
- Neural Additive Models (Google Research)☆70Updated 3 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- A package for conformal prediction with conditional guarantees.☆58Updated 4 months ago
- ☆109Updated 2 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- ☆15Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- ☆35Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆21Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆34Updated last year
- ☆37Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 4 months ago
- Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)☆10Updated 2 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆19Updated 3 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated last year
- Statistical inference for fairness auditing☆13Updated last year
- [Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. K…☆11Updated 2 years ago
- Minimal, standalone library for solving GLMs in PyTorch☆26Updated 3 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago