microsoft / horseshoe-bnn
A Bayesian Neural Network with a horseshoe prior for improved interpretability
☆52Updated last year
Related projects ⓘ
Alternatives and complementary repositories for horseshoe-bnn
- Bayesianize: A Bayesian neural network wrapper in pytorch☆86Updated 5 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)☆27Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆65Updated this week
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 2 months ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 8 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆68Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- ☆15Updated 10 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated last year
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆66Updated 3 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆27Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆80Updated 4 months ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated last year
- ☆87Updated last year
- Beta calibration☆24Updated 8 months ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆269Updated last year
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆50Updated 2 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆142Updated 2 years ago
- ☆37Updated 5 years ago
- ☆28Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆27Updated 4 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated last year
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 4 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆77Updated last year
- A library for uncertainty quantification based on PyTorch☆119Updated 2 years ago