tfmortie / uaml
Uncertainty-aware classification.
☆14Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for uaml
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆23Updated 3 years ago
- Neural Additive Models (Google Research)☆67Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆25Updated 5 months ago
- Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …☆11Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated last year
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated last year
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 3 years ago
- Neural Additive Models (Google Research)☆26Updated 6 months ago
- ☆51Updated 6 months ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆68Updated 2 weeks ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆28Updated 2 years ago
- ☆19Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆40Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 4 years ago
- Benchmark time series data sets for PyTorch☆34Updated 9 months ago
- ☆19Updated last year
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- Modern Gaussian Processes: Scalable Inference and Novel Applications☆19Updated 5 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆21Updated 2 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆56Updated 8 months ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated 8 months ago
- A lightweight implementation of removal-based explanations for ML models.☆57Updated 3 years ago
- Rule Extraction Methods for Interactive eXplainability☆41Updated 2 years ago
- Training quantile models☆40Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆25Updated 2 years ago
- Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"☆22Updated 5 years ago
- ☆25Updated 7 months ago