mseeger / apbsint
Approximate Bayesian Inference Toolkit (Python, C++)
☆14Updated 10 years ago
Alternatives and similar repositories for apbsint:
Users that are interested in apbsint are comparing it to the libraries listed below
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆50Updated 3 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆57Updated 3 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Google AI Princeton control framework☆38Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆80Updated 4 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 2 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆11Updated 2 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆40Updated 10 months ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆42Updated last year
- Implementation of PILCO for the Model-Based Baselines Project☆17Updated 5 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆65Updated 2 years ago
- Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations (ICLR 2020)☆25Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Updated 4 years ago
- A toolbox for inference of switching systems for control☆13Updated 3 years ago
- Demo of the TrustworthySearch API☆19Updated 3 years ago
- ☆53Updated 6 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Retrieve information from DBLP and update BibTex files automatically☆55Updated 2 years ago
- Online variational GPs☆31Updated last year
- Repository for my convex optimization course.☆52Updated 3 years ago
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆18Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆88Updated 4 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆28Updated 5 years ago
- Continual Gaussian Processes☆32Updated last year
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆31Updated last year