Benchmark functions for Bayesian optimization
☆37Mar 12, 2024Updated 2 years ago
Alternatives and similar repositories for bayeso-benchmarks
Users that are interested in bayeso-benchmarks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple, but essential Bayesian optimization package☆95Jan 12, 2026Updated 2 months ago
- (CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems☆19Nov 16, 2023Updated 2 years ago
- Benchmarking☆31Nov 18, 2021Updated 4 years ago
- Bayesian Optimization with Density-Ratio Estimation☆23Dec 26, 2022Updated 3 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Dec 7, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Pytorch implementation of neural processes and variants☆29Jul 25, 2024Updated last year
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆21Jan 5, 2024Updated 2 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆47Dec 8, 2022Updated 3 years ago
- Pytorch code for experiments on Linear Transformers☆24Jan 12, 2024Updated 2 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆159Jun 30, 2021Updated 4 years ago
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 4 years ago
- ☆32Jul 10, 2023Updated 2 years ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering☆19Apr 8, 2019Updated 7 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Nov 10, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- huggingface dataset with remote download support☆13Mar 13, 2026Updated 3 weeks ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆18Oct 22, 2019Updated 6 years ago
- ☆23Dec 21, 2022Updated 3 years ago
- Bayesian Optimization with multiple tiers of objectives, which can flexibly depend on model inputs and outputs☆13Sep 10, 2025Updated 6 months ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Dec 15, 2022Updated 3 years ago
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆33Dec 10, 2025Updated 3 months ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆15Feb 25, 2022Updated 4 years ago
- Legolization Project for Computer Graphics☆13Apr 29, 2016Updated 9 years ago
- Benchmarks for Model-Based Optimization☆96Apr 21, 2024Updated last year
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visual…☆32Dec 16, 2025Updated 3 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆40Jun 14, 2021Updated 4 years ago
- Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"☆14Sep 12, 2022Updated 3 years ago
- ☆13Oct 20, 2021Updated 4 years ago
- ☆225Jul 25, 2024Updated last year
- [TMLR 2025 & ICLR 2025 DeLTa] Official Implementation of Design Editing for Offline Model-based Optimization 🧬 🤖☆10Apr 17, 2025Updated 11 months ago
- Reference implementation of Optimistic Expected Improvement.☆49May 17, 2020Updated 5 years ago
- pytasks is a modular and customizable microservice for running computational tasks on workers and viewing its results through a REST API.☆10Jun 21, 2025Updated 9 months ago
- ☆29Feb 28, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)☆13Jul 22, 2024Updated last year
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52May 19, 2025Updated 10 months ago
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering☆31Apr 9, 2019Updated 6 years ago
- Code of the paper Fair k-Means Clustering☆13Oct 30, 2021Updated 4 years ago
- This repository contains the code for the paper "Local policy search with Bayesian optimization".☆19Oct 27, 2022Updated 3 years ago
- 청와대 국민청원 게시판의 데이터를 수집하는 스크래퍼☆15Oct 6, 2019Updated 6 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago