VectorInstitute / vbllLinks
Simple (and cheap!) neural network uncertainty estimation
☆66Updated last month
Alternatives and similar repositories for vbll
Users that are interested in vbll are comparing it to the libraries listed below
Sorting:
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆221Updated 8 months ago
- Bayesian active learning with EPIG data acquisition☆32Updated 2 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- ☆152Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated last year
- Our maintained PFN repository. Come here to train SOTA PFNs.☆94Updated this week
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆53Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- IVON optimizer for neural networks based on variational learning.☆68Updated 8 months ago
- Large-scale uncertainty benchmark in deep learning.☆60Updated 2 months ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Updated 3 years ago
- Laplace approximations for Deep Learning.☆514Updated 2 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated 10 months ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Mutual information estimators and benchmark☆51Updated 5 months ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- ☆17Updated 10 months ago
- Neural Diffusion Processes☆81Updated 11 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆67Updated 7 months ago
- Agustinus' very opiniated publication-ready plotting library☆67Updated 2 months ago