Tools for assessing clustering robustness

Forge strategies through human-AI collaboration. You bring the edge, AutoForge stress-tests it, optimizes it, and tells you if it is real. See the case study: 200+ experiments, 8 phases, 1 validated strategy.

AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Multi-Waypoint Navigation.

Exploring non-gradient-based learning techniques for training neural networks, using brute force parameter search and optimization methods. Includes comparison with gradient-based learning.

Universal noise model for superconducting quantum chips achieving 5.2-19.5× accuracy improvement over traditional methods through cross-platform parameter optimization.

A sophisticated PDF document analysis and question-answering application that leverages advanced AI models to provide detailed responses to user queries about PDF documents.

台股盤中當沖量化交易系統 — 追蹤主力資金動向，系統性捕捉機構操作後的剩餘價差。整合即時行情、族群連動分析、自動化做空策略、參數最佳化與歷史回測框架。

Advances in the models for studying cardiovascular physiology: Using parameter sensitivity analysis (PSA) to reduce the length of the voltage protocol

This repository contains the modules implementing a Machine Learning-based solution for optimizing the execution of dislib algorithms. In particular, a stacked classification model is leveraged to predict the most suitable value of the block-size parameter for the execution of dislib algorithms.

Inventory-Aware Market Making Parameter Optimization in a Simulated Exchange

Optimization of parameter values means finding the best combination of the parameters that governs the model, to enable it to perform the given task with relative accuracy

Parallel optimization engine for QuantConnect LEAN algorithmic trading strategies

Unscented Kalman Filter (UKF), to enhance modeling and understanding of neural dynamics from fMRI data using Coupled Oscillator Model.

GPU-accelerated function evaluator and optimizer for parallel parameter space exploration

Efficient reasoning under constrained compute.

Automate strategy research: turn trading ideas into code, test parameters, and validate edge with AI-driven analysis

This project compares the effects of Ridge (L2) and Lasso (L1) regression models on clinical data.

Julia workflows for dependency optimization and dynamic ODE simulation of signaling networks in triple negative breast cancer cells.