TorchUQ / torchuq
A library for uncertainty quantification based on PyTorch
☆121Updated 3 years ago
Alternatives and similar repositories for torchuq:
Users that are interested in torchuq are comparing it to the libraries listed below
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 9 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Normalizing Flows using JAX☆82Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆56Updated 3 years ago
- ☆148Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆100Updated last year
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆303Updated 2 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated this week
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- ☆236Updated 2 years ago
- ☆50Updated 3 weeks ago
- Bayesian active learning with EPIG data acquisition☆27Updated last week
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 4 months ago
- Algorithms for computations on random manifolds made easier☆87Updated last year
- ☆53Updated 6 months ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- ☆35Updated 2 years ago
- ☆98Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆79Updated last year
- A statistical toolkit for scientific discovery using machine learning☆73Updated 7 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆88Updated last year