automl / georgeLinks
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
Sorting:
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- ☆51Updated 10 months ago
- gpbo☆25Updated 4 years ago
- ☆69Updated 4 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆16Updated 6 years ago
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆19Updated 7 years ago
- Multi-Information Source Optimization☆23Updated 6 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆11Updated 2 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Forecasting library in python☆13Updated 5 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated 11 months ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆13Updated 5 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Talks from Neil Lawrence☆54Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- ☆13Updated 2 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Updated 3 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- ☆30Updated 2 years ago
- The code for Meta Learning for SGMCMC☆25Updated 6 years ago
- ☆12Updated 4 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Evolving Directed Acyclic Graph☆29Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago