automl / george
Fast Gaussian Processes for regression
☆11Updated 6 years ago
Alternatives and similar repositories for george:
Users that are interested in george are comparing it to the libraries listed below
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆47Updated 5 months ago
- Multi-Information Source Optimization☆22Updated 5 years ago
- ☆69Updated 4 years ago
- gpbo☆25Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Fast Genetic Programming☆11Updated 5 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Updated 3 years ago
- ☆30Updated 2 years ago
- Talks from Neil Lawrence☆54Updated last year
- Evolving Directed Acyclic Graph☆30Updated 2 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated 7 months ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- This repository contains the code for the method GPUCB-UBO proposed in the paper 'Bayesian Optimization with Unknown Search Space', NeurI…☆9Updated 5 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆47Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Pytorch implementation of Planar Flow☆17Updated 5 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆49Updated 7 months ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- ☆16Updated 6 years ago
- ☆12Updated 7 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- MultiVerse: Probabilistic Programming Language for Causal Reasoning☆9Updated 2 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆40Updated 5 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆35Updated 7 years ago
- TF-Tile: an efficient sparse representation for real-valued data☆13Updated last year
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆16Updated 5 years ago