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。
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Updated
Sep 7, 2026 - C#
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。
A lightweight Unity asset for running powerful Bayesian optimization. It supports practical human-in-the-loop workflows where the optimizer proposes parameter values, collects user feedback as objective scores, updates the model, and recommends the next design iteration.
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.
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.
Uncertainty-aware Labelled Augmentations for High Dimensional Latent Space Bayesian Optimisation
Optimization of light-by-light scattering scenarios with BoTorch engine.
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
Closed-loop molecular discovery agent combining Bayesian optimization (BoTorch), a Gymnasium environment, and a simulated QED + synthetic-accessibility oracle for autonomous drug-candidate selection.
🧬 Pareto-optimal drug discovery via qNEHVI Bayesian optimization over molecular libraries — built with BoTorch, PyTorch & RDKit
This repository applies Machine Learning to Quantum Optimal Control (QOC) for preparing the highly entangled Greenberger–Horne–Zeilinger (GHZ) state.
Build AI-driven 3D avatar animation from natural language commands for real-time WebGL interaction and training flows
Reproducible BoTorch benchmarks comparing qNEHVI, qEHVI and qNParEGO with GP and random-forest surrogates.
Experimental DoE + Bayesian Optimization with Domain Knowledge injection for chemistry/materials labs
Исследовательский проект по Bayesian Optimization и transfer learning на BoTorch / GPyTorch
Bayesian Optimization framework for CO2 mineralization using ferrochrome steel slag. Bachelor thesis, RWTH Aachen (AVT.SVT), 2025.
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