bayinf / awesome-variational-inference
A curated list of awesome variational inference
☆18Updated 4 years ago
Related projects: ⓘ
- The collection of recent papers about variational inference☆84Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆79Updated 3 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆117Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆108Updated 2 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆9Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆99Updated 5 years ago
- Bayesian active learning with EPIG data acquisition☆25Updated 4 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- ☆22Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- ☆231Updated last year
- ☆39Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆27Updated 4 years ago
- ☆65Updated 5 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆183Updated 10 months ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆21Updated last year
- MIGSAA Project 2 - Langevin Monte Carlo Algorithms☆12Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆43Updated 3 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆40Updated last year
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆82Updated 4 years ago
- This repository contains the Python code to reproduce all the figures and experiments presented in the paper: Masegosa, Andrés. R., Learn…☆9Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆197Updated 3 months ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated 11 months ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆45Updated 3 years ago