grid-search 开源项目推荐（288 个）

LiYangHart /Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

databricks /spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

dezoito /ollama-grid-search

一个多平台桌面应用程序，用于评估和比较大型语言模型，采用Rust和React编写。

williamFalcon /test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

rodrigo-arenas /Sklearn-genetic-opt

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

gmontamat /gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

jia-zhuang /xgboost-lightgbm-hyperparameter-tuning

Bayesian Optimization and Grid Search for xgboost/lightgbm

JuliaAI /MLJTuning.jl

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

WLOGSolutions /telco-customer-churn-in-r-and-h2o

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

Architectshwet /Loan-prediction-using-Machine-Learning-and-Python

To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib

LthreeC /pyruns

A lightweight Python CLI for batch experiments: auto-generate tasks from configs, run in parallel, and track results with real-time monitoring.

romainkp /stremr

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

enricoschumann /NMOF

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

buomsoo-kim /Machine-learning-toolkits-with-python

Machine learning toolkits with Python

farhanchoudhary /Machine_Learning_A-Z_All_Codes_and_Templates

All codes, both created and optimized for best results from the SuperDataScience Course

eHarmony /spotz

Spark Parameter Optimization and Tuning

neuro-ml /reskit

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

cstsunfu /dlk

A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo

Davisy /Hyperparameter-Optimization-Techniques

Different hyperparameter optimization methods to get best performance for your Machine Learning Models

xiao634zhang /worldquant-alpha-crew

基于 CrewAI 的 WorldQuant Alpha 因子自动研究与回测系统 6个专业 AI 智能体协作 从研报到可验证公式的全自动流水线 支持网格搜索和智能优化