开源工艺追因与优化系统：把真实运行变成可追溯证据，帮助工程师找差异、验原因、定下一份配方。
iBO (Interactive Bayesian Optimization) enables single- and multi-objective human-in-the-loop Bayesian optimization. A shared Python optimizer proposes a design, takes the participant's feedback as objective values and selects the next design. Unity, Unreal Engine and Python programs connect to it through the open iBO protocol.
A pipeline to generate user-preferred photo-realistic avatars using stable-diffusion and bayesian-optimization.
Hyperpatameter Bayesian Optimization for Image Classification in PyTorch
Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.
Unofficial Rust implementation of BoTorch's core (exact GPs, acquisition functions, optimize_acqf) with the same Python API, tested for equivalence with BoTorch
An introduction to Bayesian optimization with an example of accelerator tuning task.
A concept-first repository of Jupyter notebooks tracing a path from PyTorch fundamentals to Bayesian Optimisation.
Bayesian-optimization-driven active learning for the effective Hamiltonian of BaTiO₃ (J. Phys.: Condens. Matter 2025)
Uncertainty-aware Labelled Augmentations for High Dimensional Latent Space Bayesian Optimisation
Optimization of light-by-light scattering scenarios with BoTorch engine.
Build AI-driven 3D avatar animation from natural language commands for real-time WebGL interaction and training flows
qSTCH-Set: Smooth Tchebycheff Set Scalarization for Many-Objective Bayesian Optimization. Drop-in replacement for qNParEGO and qEHVI in many-objective regimes.
BO Forge is a local-first, CSV-backed Bayesian optimization toolkit for mixed-variable, multi-objective, staged, multi-fidelity, contextual, and noisy experimental campaigns.
Testing submission of AWS batch jobs using BoTorch (via Ax) and TorchX for neural architecture search
HC-GPUCB: Hybrid Concentration-aware GP-UCB for Bayesian Optimization with Tight Regret Guarantees (IEEE TAI 2025)
Smooth Tchebycheff scalarization for multi-objective Bayesian optimization (BoTorch)
Closed-loop molecular discovery agent combining Bayesian optimization (BoTorch), a Gymnasium environment, and a simulated QED + synthetic-accessibility oracle for autonomous drug-candidate selection.
This repository applies Machine Learning to Quantum Optimal Control (QOC) for preparing the highly entangled Greenberger–Horne–Zeilinger (GHZ) state.
To associate your repository with the botorch topic, visit your repo's landing page and select "manage topics."