#Grid-search
Showing 8 of 8 repositories tagged #grid-search, ranked by stars
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
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
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..