grid-search
Here are 229 public repositories matching this topic...
Language:All
Sort:Most stars
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
- Updated
Sep 22, 2022 - Jupyter Notebook
(Deprecated) Scikit-learn integration package for Apache Spark
- Updated
Dec 3, 2019 - Python
A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.
- Updated
Apr 17, 2025 - TypeScript
Python library to easily log experiments and parallelize hyperparameter search for neural networks
- Updated
Jul 22, 2022 - JavaScript
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
- Updated
Sep 25, 2024 - Python
Bayesian Optimization and Grid Search for xgboost/lightgbm
- Updated
Feb 13, 2025 - Python
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
- Updated
Aug 25, 2025 - Julia
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
- Updated
Sep 28, 2017 - R
To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
- Updated
May 26, 2018 - Jupyter Notebook
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
- Updated
Mar 28, 2024 - R
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 mirrorshttps://gitlab.com/NMOF/NMOF .
- Updated
Oct 20, 2025 - R
Machine learning toolkits with Python
- Updated
Oct 7, 2017 - Jupyter Notebook
All codes, both created and optimized for best results from the SuperDataScience Course
- Updated
Nov 5, 2017 - Python
Spark Parameter Optimization and Tuning
- Updated
Apr 11, 2018 - Scala
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
- Updated
Jul 20, 2017 - Jupyter Notebook
A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo
- Updated
Sep 7, 2025 - Python
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
- Updated
Oct 4, 2020 - Jupyter Notebook
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
- Updated
Jul 22, 2018 - Jupyter Notebook
Hyperparameters-Optimization
- Updated
Mar 22, 2023 - Jupyter Notebook
Improve this page
Add a description, image, and links to thegrid-search topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thegrid-search topic, visit your repo's landing page and select "manage topics."