microsoft / horseshoe-bnn
A Bayesian Neural Network with a horseshoe prior for improved interpretability
☆55Updated last year
Alternatives and similar repositories for horseshoe-bnn:
Users that are interested in horseshoe-bnn are comparing it to the libraries listed below
- A library for uncertainty quantification based on PyTorch☆123Updated 3 years ago
- A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.☆29Updated 7 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 8 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆132Updated 2 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 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
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- ☆18Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆74Updated 5 months ago
- ☆30Updated last year
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆68Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆21Updated last year
- ☆17Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE☆39Updated last year
- Python code parsing data from PhysioNet Challenge 2012☆21Updated 6 years ago
- ☆38Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems☆22Updated 3 years ago
- Tools for training explainable models using attribution priors.☆124Updated 4 years ago
- Neural Additive Models (Google Research)☆69Updated 3 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 6 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21Updated 3 years ago