QUVA-Lab / COMBOLinks
☆50Updated last year
Alternatives and similar repositories for COMBO
Users that are interested in COMBO are comparing it to the libraries listed below
Sorting:
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 6 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- ☆23Updated 2 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- ☆17Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- ☆26Updated 7 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- Bayesian neural network package☆151Updated 4 years ago
- ☆170Updated last year
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- gpbo☆25Updated 4 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 4 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Bayesian Optimization of Combinatorial Structures☆97Updated 5 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago