bayinf / awesome-variational-inferenceLinks
A curated list of awesome variational inference
☆24Updated 4 years ago
Alternatives and similar repositories for awesome-variational-inference
Users that are interested in awesome-variational-inference are comparing it to the libraries listed below
Sorting:
- The collection of recent papers about variational inference☆85Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆205Updated 3 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- ☆241Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆223Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆221Updated 8 months ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 2 years ago
- ☆38Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆36Updated 5 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆76Updated 3 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆149Updated 11 months ago
- demonstration of the information bottleneck theory for deep learning☆64Updated 7 years ago
- Testing methods for estimating KL-divergence from samples.☆64Updated 4 months ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Papers for Bayesian-NN☆325Updated 6 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- ☆91Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆32Updated 3 months ago
- ☆152Updated 2 years ago