treforevans / uci_datasetsLinks
Regression datasets from the UCI repository with standardized test-train splits.
☆47Updated 3 years ago
Alternatives and similar repositories for uci_datasets
Users that are interested in uci_datasets are comparing it to the libraries listed below
Sorting:
- ☆153Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 2 weeks ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆457Updated last year
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆225Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆135Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 11 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Deep neural network kernel for Gaussian process☆211Updated 5 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Multi-Output Gaussian Process Toolkit☆175Updated 3 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆232Updated 10 months ago
- Laplace approximations for Deep Learning.☆517Updated 4 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- " Weight Uncertainty in Neural Networks"☆49Updated 7 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- ☆243Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year