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dezoito /ollama-grid-search

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

rust ai testing-tools ab-testing grid-search gridsearch llm ollama

UpdatedJan 11, 2025
TypeScript

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

Solution of the Titanic Kaggle competition

visualization python machine-learning tutorial jupyter random-forest scikit-learn exploratory-data-analysis data-visualization kaggle kaggle-titanic gridsearch

UpdatedFeb 7, 2021
Jupyter Notebook

dPys /PyNets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

workflow optimization networkx ensemble-learning networks fmri decision-trees nilearn fuzzy-logic multiverse brain-connectivity tractography nipype dipy gridsearch graph-neural-networks dmri ensemble-sampling

UpdatedFeb 1, 2024
Python

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.

python machine-learning xgboost catboost gridsearch lightboost crossvalidation hyperoptimization

UpdatedMar 2, 2025
Python

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

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

machine-learning natural-language-processing word2vec naive-bayes scikit-learn cross-validation neural-networks feature-engineering support-vector-machines tfidf personality-traits multilayer-perceptron gridsearch

UpdatedDec 19, 2018
Python

franneck94 /TensorCross

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

python validation tensorflow cross-validation dataset grid-search random-search gridsearchcv gridsearch tensorflow-datasets tensorflow2

UpdatedMay 20, 2024
Python

NongMindHouse /MasterNongMind

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

c algorithms bruteforce permutation mastermind c-programming mastermind-game gridsearch

UpdatedDec 21, 2023
C

MBKraus /Hyperopt

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

hyperopt gridsearch randomsearch

UpdatedMar 26, 2019
Jupyter Notebook

matthieu637 /lhpo

Lightweight HyperParameter Optimizer

aws cluster grid5000 metaoptimization gridsearch

UpdatedJan 6, 2021
Shell

dashifyML /dashifyML

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

visualization tracking dashboard ml gridsearch

UpdatedApr 24, 2022
Python

scania-truck-failure-prediction

jvirico /scania-truck-failure-prediction

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

machine-learning data-mining random-forest scikit-learn jupyter-notebook hyperparameter-optimization outliers confusion-matrix support-vector-machines upsampling bagging iqr gridsearch scania-trucks interquartile-ranges aps-failure

UpdatedMar 22, 2021
Jupyter Notebook

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.

algorithms evaluation python3 multi-armed-bandits mab gridsearch

UpdatedMar 20, 2020
Jupyter Notebook

Egoluback /nti_ml_20-21

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

machine-learning scrapping catboost gridsearch

UpdatedAug 2, 2023
Jupyter Notebook

Noza23 /dataserious

dataclasses enhanced with type validation and serialization

python serialization validation parsing configuration-management type-checking gridsearch randomsearch

UpdatedMar 16, 2025
Python

aggarwalpiush /Hyperparameter-Optimization-Tutorial

Hyperparameter-Optimization-Tutorial

grid hyperparameter-optimization bayesian-optimization hyperparameter-tuning gridsearch randomsearch

UpdatedAug 12, 2018
Jupyter Notebook

KhaledTofailieh /Bank-Deposits-Classification

python machine-learning csv numpy scikit-learn pandas seaborn pipline gridsearch matplotlib-pyplot column-transformer

UpdatedDec 22, 2021
Jupyter Notebook

Katerinafomkina /House-Predicting-Advanced-Regression-Techniques

Predicting house price

random-forest svm xgboost ensemble ensemble-learning elasticnet lasso-regression gridsearchcv xgboost-regression kernel-ridge gridsearch stacked-regression

UpdatedJun 12, 2021
Jupyter Notebook

mukeshmk /toy-datasets

Implementation of various algorithms on scikit-learn's Toy Datasets.

scikit-learn cross-validation diabetes uci datasets movielens-dataset breast-cancer-wisconsin iris-dataset uci-machine-learning boston-housing-dataset gridsearch wine-dataset uci-datasets

UpdatedAug 5, 2020
Scilab

sebastienmeyer2 /cover-type-prediction

Prediction of forest cover type in Python.

kaggle feature-engineering gridsearch extra-trees cover-type

UpdatedMar 27, 2022
Python

shreeratn /Predicting-Credit-Card-Approval

Build a machine learning model to predict if a credit card application will get approved.

python sklearn python3 logistic-regression confusion-matrix minmax-algorithm logistic-regression-algorithm gridsearchcv sklearn-library gridsearch minmaxscaling minmaxscaler labelencoder

UpdatedNov 21, 2020
Jupyter Notebook

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