Tools for assessing clustering robustness
minibt：一站式量化交易策略开发库。极简 API 覆盖策略编写、指标计算、回测分析、参数优化到 TQSDK 实盘对接的完整链路；内置 TA-Lib、Pandas-TA、TradingView 等十余种指标库即插即用，集成 Bokeh/PyQt 可视化、Optuna 参数优化、ElegantRL 强化学习与 sklearn 机器学习，让量化落地更简单。
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.
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.
AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Multi-Waypoint Navigation.
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。
Parallel optimization engine for QuantConnect LEAN — a 679K-point parameter search in under 3 minutes via warm Docker workers, a persistent .NET harness, and smart search (GA / Bayesian / LHS).
A sophisticated PDF document analysis and question-answering application that leverages advanced AI models to provide detailed responses to user queries about PDF documents.
Cartesian impedance control of the Franka Emika Panda robot with kinesthetic teaching, waypoint replay, and genetic algorithm parameter optimisation. Built on libfranka with ROS2/MoveIt2 for IK.
Official implementation of DoLQ, a multi-agent LLM framework for discovering physically plausible ODEs from observational data.
Advances in the models for studying cardiovascular physiology: Using parameter sensitivity analysis (PSA) to reduce the length of the voltage protocol
模块化量化回测框架 — 基于Claude Code最佳实践架构设计，支持可插拔策略、多策略对比、参数网格优化
An open-source Advanced Kirk-Baez(AKB) Mirror system parameter optimization program
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.
Distributed GPU-accelerated MetaTrader 5 strategy backtester and parameter optimizer. Maps each parameter combo to a CUDA thread, shards across a Ray cluster of GPU workers. Numba CUDA + Ray + Polars + Pydantic.
Professional TradingView strategy optimization Chrome extension. Bayesian, TPE, Annealing algorithms. Find optimal parameters automatically.
Automate strategy research: turn trading ideas into code, test parameters, and validate edge with AI-driven analysis
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
基于东财掘金量化平台的智能选股与参数优化系统 - 纯量化学习和 Vibe Coding 学习项目
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