SebastienMarmin / torch-mvnormLinks
Multivariate normal CDF computation for tensors. Implementation of closed form derivatives.
☆12Updated 2 years ago
Alternatives and similar repositories for torch-mvnorm
Users that are interested in torch-mvnorm are comparing it to the libraries listed below
Sorting:
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆47Updated 3 years ago
- Bayesian neural network package☆151Updated 4 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆57Updated last year
- ☆206Updated last year
- Multi-fidelity Gaussian Process Bandit Optimisation☆39Updated 8 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆225Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆45Updated 4 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆457Updated last year
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Random Fourier Features☆50Updated 8 years ago
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 11 months ago
- ☆152Updated 3 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Updated last month
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method☆27Updated 2 months ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- ☆30Updated 6 months ago
- ☆12Updated 9 months ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆33Updated last year
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆13Updated 3 years ago
- PyTorch implementation of 'Weight Uncertainty in Neural Networks'☆19Updated 5 years ago
- Deep neural network kernel for Gaussian process☆211Updated 5 years ago
- ☆24Updated 3 years ago
- [NeurIPS DBT 2021] HPO-B☆36Updated last month
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- ☆23Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 5 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated last week