jonasrothfuss / f-pacoh-torch
β9Updated 2 years ago
Alternatives and similar repositories for f-pacoh-torch:
Users that are interested in f-pacoh-torch are comparing it to the libraries listed below
- π Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)β18Updated last year
- Repo for our paper "Repulsive deep ensembles are Bayesian"β19Updated 3 years ago
- Official implementation of Transformer Neural Processesβ71Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"β50Updated last year
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learningβ¦β36Updated 10 months ago
- Offline Contextual Bayesian Optimizationβ14Updated last year
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.β50Updated 3 years ago
- β11Updated 2 years ago
- Functional Regularisation for Continual Learning with Gaussian Processesβ14Updated 4 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"β17Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processesβ52Updated 4 years ago
- Official PyTorch implementation of NPwSA: "Neural Processes with Stochastic Attention: Paying more attention to the context dataset (ICLRβ¦β10Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"β30Updated 6 months ago
- β29Updated 4 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classificationβ21Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.β20Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimizationβ25Updated 11 months ago
- Dual optimization to learn laplacian eigenpairs in arbitrary spacesβ12Updated 2 months ago
- β13Updated last year
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"β30Updated 2 years ago
- [NeurIPS DBT 2021] HPO-Bβ28Updated 6 months ago
- PyTorch implementation of Stein Variational Gradient Descentβ42Updated last year
- Meta-learning Gaussian process (GP) priors via PAC-Bayes boundsβ25Updated last year
- PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.β19Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)β32Updated 5 years ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)β12Updated last year
- Comparison between GFlowNets & Maximum Entropy RLβ16Updated last year
- β28Updated 4 years ago
- β30Updated last year
- Pytorch implementation of neural processes and variantsβ27Updated 6 months ago