TorchUQ / torchuqLinks
A library for uncertainty quantification based on PyTorch
☆122Updated 3 years ago
Alternatives and similar repositories for torchuq
Users that are interested in torchuq are comparing it to the libraries listed below
Sorting:
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 4 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆70Updated 2 years ago
- Normalizing Flows using JAX☆85Updated last year
- ☆154Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆77Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated 11 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Updated 2 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆28Updated 2 years ago
- ☆249Updated 2 years ago
- ☆100Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 4 years ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year