gridsearch 开源项目推荐（100 个）

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。

ahmedbesbes /How-to-score-0.8134-in-Titanic-Kaggle-Challenge

泰坦尼克号卡格尔竞赛的解决方案

dPys /PyNets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

erdogant /hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

desaichirayu /Personality-Attribution-using-Natural-Language-Processing

Aims at attributing the big-five personality traits to authors of essays by analyzing their works.

franneck94 /TensorCross

Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets

NongMindHouse /MasterNongMind

🔮 Mastermind puzzle solver using Genetic Algorithm and Grid Search for optimization

dashifyML /dashifyML

A lightweight tool to manage and track your large scale machine leaning experiments

MBKraus /Hyperopt

Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'

jvirico /scania-truck-failure-prediction

Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.

matthieu637 /lhpo

Lightweight HyperParameter Optimizer

abhinavcreed13 /Multi-armed-bandits-MAB

This project implements famous MAB algorithms and evaluates them on the basis of their performance - EpsilonGreedy, UCB, BetaThompson, LinUCB, LinThompson.

Egoluback /nti_ml_20-21

Code for 1th and 2th stage of 2020 NTI ML competition.

Martinaa1408 /LB2_project_Group_5

Group project: data collection, feature analysis and models to predict secretory signal peptides.

Noza23 /dataserious

dataclasses enhanced with type validation and serialization

aggarwalpiush /Hyperparameter-Optimization-Tutorial

Hyperparameter-Optimization-Tutorial

KhaledTofailieh /Bank-Deposits-Classification

该项目在 GitHub 上没有填写描述

aufahuhs /Advanced-Machine-Learning-Personal-Project

This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

vperaltadelriego /LogiPrune

Propositional structure recovery and truth table entropy for hyperparameter search space pruning. Two papers, one library.

Katerinafomkina /House-Predicting-Advanced-Regression-Techniques

Predicting house price