samuelkim314 / DeepBOLinks
Deep Bayesian Optimization for Problems with High-Dimensional Structure
☆16Updated 2 years ago
Alternatives and similar repositories for DeepBO
Users that are interested in DeepBO are comparing it to the libraries listed below
Sorting:
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆13Updated 2 months ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆26Updated last month
- SAASBO: a package for high-dimensional bayesian optimization☆43Updated 3 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆21Updated 2 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆24Updated 2 months ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 2 years ago
- All the codes and data used in "Inverse design of soft materials via a deep-learning-based evolutionary strategy", by G. M. Coli, E. Boat…☆11Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆30Updated 4 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆58Updated 2 years ago
- Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…☆17Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- ☆10Updated 3 years ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆17Updated last year
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆12Updated 6 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆36Updated 3 months ago
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆24Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆74Updated 2 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆11Updated 4 months ago
- ☆37Updated 11 months ago
- Benchmarking☆29Updated 3 years ago
- List of papers on robust Bayesian optimization☆17Updated 3 years ago
- ☆14Updated last year
- These are the slides associated with the GNN tutorial at the APS March Meeting☆21Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Updated last year
- ☆44Updated 2 years ago