GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
parameter-optimizationHere are 27 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
Tools for assessing clustering robustness
machine-learning bioinformatics genomics clustering unsupervised-learning single-cell robustness parameter-optimization
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。
python quant technical-analysis backtesting parameter-optimization quantitative-trading-tool live-trading-quant algorithmic-trading-quantitative trading-strategy-backtesting
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 trading futures algorithmic-trading backtesting claude strategy-development parameter-optimization human-ai-collaboration autoforge
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.
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。
trading technical-analysis algorithmic-trading quantitative-trading day-trading intraday backtesting short-selling parameter-optimization shioaji taiwan-stock institutional-flow
AI-Driven Control Strategy for Differential Drive Wheeled Mobile Robots: Neural Network-Based Parameter Optimization and Real-Time Stabilization for Multi-Waypoint Navigation.
mobile-robots pid-controller lqr-controller nonlinear-control mlp-networks differential-drive-robot hybrid-control parameter-optimization training-data-generation intelligent-control ros-noetic lyapunov-stability state-space-control objective-evaluation
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).
python docker dotnet genetic-algorithm lean quantconnect algorithmic-trading bayesian-optimization backtesting latin-hypercube-sampling trading-strategy parameter-optimization quant-finance
TuneX is a configurable chess engine tuning framework that automates parameter optimization, engine matches, and performance testing to improve playing strength and search efficiency.
python benchmarking chess-engine chess uci automated-testing chess-ai self-play engine-tuning search-optimization engine-testing parameter-optimization chess-programming elo-testing
Official implementation of DoLQ, a multi-agent LLM framework for discovering physically plausible ODEs from observational data.
python multi-agent symbolic-regression ordinary-differential-equations scientific-machine-learning parameter-optimization qualitative-reasoning llm-agents research-code ode-discovery
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.
robotics genetic-algorithm robot-arm human-robot-interaction cartesian-controller ros2 mechatronics motion-control impedance-control libfranka franka-emika parameter-optimization panda-robot kinesthetic-teaching compliant-manipulation
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
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
python quantitative-trading backtesting learning-project parameter-optimization streamlit stock-screening ai-coding vibe-coding dongcai-juejin
Professional TradingView strategy optimization Chrome extension. Bayesian, TPE, Annealing algorithms. Find optimal parameters automatically.
chrome-extension algorithm trading optimization optimizer strategy bayesian trading-strategies bayesian-optimization backtesting tradingview tpe parameter-optimization manifest-v3
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.
python trading gpu distributed-computing cuda forex quantitative-finance ray numba algorithmic-trading backtesting metatrader5 mt5 parameter-optimization
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
ATR trailing stop-loss overlay on existing trades with next-day trailing, gap-through fills and a grid search checked once out of sample.
Add this topic to your repoTo associate your repository with the parameter-optimization topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |