Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...
IEEE

Multi-Objective Optimization of FDM-Printed Gears: A Bayesian Learning Approach to Quality and Weight Reduction

Abstract: This study presents a data-driven framework for optimizing Fused Deposition Modeling (FDM) process parameters using Bayesian Optimization (BO) to enhance the mechanical and surface ...
IEEE

LEMOE: LLM-Enhanced Multi-Objective Bayesian Optimization for Microarchitecture Exploration

Abstract: Designing processor microarchitectures is increasingly challenging due to a vast design space and the need to balance multiple metrics. Traditional algorithm-driven design space exploration ...
GitHub

velosovictor/PYTHON_OPTIMIZATION_ADAPTER

TensorOpt is a framework-agnostic tensor-based optimization system designed for complex engineering applications. It provides an intuitive interface for defining multi-dimensional optimization ...
GitHub

Python Maze Solver using A* Algorithm with Movement Constraints

A Python script with an AI algorithm that solves a 2D maze using the A* search algorithm - but, with specific movement constraints, to really force the AI earn its way out of the maze. This time, ...
C&EN

From Optimization to Mechanism: Bayesian Optimization-Guided Exploration of p-Xylene Electro-oxidation

The State Key Laboratory of Chemical Engineering and Low-Carbon Technology, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China ...
C&EN

Autonomous Discovery of Polymer Electrolyte Formulations with Warm-Start Batch Bayesian Optimization

Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States Department of Mechanical Engineering, Massachusetts Institute of ...