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30 search results found
Spark Sklearn
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1,039
(Deprecated) Scikit-learn integration package for Apache Spark
Hyperparameter Optimization Of Machine Learning Algorithms
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1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Test Tube
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719
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Pynets
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111
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
How To Score 0.8134 In Titanic Kaggle Challenge
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105
Solution of the Titanic Kaggle competition
Gentun
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80
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Mljtuning.jl
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65
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
Telco Customer Churn In R And H2o
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57
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Hgboost
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49
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.
Nmof
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33
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 .
Stremr
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31
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Spotz
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29
Spark Parameter Optimization and Tuning
Machine Learning Toolkits With Python
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26
Machine learning toolkits with Python
Reskit
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26
A library for creating and curating reproducible pipelines for scientific and industrial machine learning
Machine_learning_a Z_all_codes_and_templates
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20
All codes, both created and optimized for best results from the SuperDataScience Course
Gridsearch
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16
real-time grid search engine
Hyperparameters Optimization
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14
Hyperparameters-Optimization
Xgboost Lightgbm Hyperparameter Tuning
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14
Bayesian Optimization and Grid Search for xgboost/lightgbm
Ollama Grid Search
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12
A Rust based tool to evaluate LLM models and model params, when using Ollama for inference.
Exp
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11
python experiment management toolset
Masternongmind
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11
🔮 Mastermind puzzle solver using Genetic Algorithm and Grid Search for optimization
Tensorcross
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11
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
Deeplearning
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10
MNIST, SVHN, Transfered Learning, DNN, CNN
Study 09 Machinelearning A
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10
With some projects to develop "TOOLs" for better Modeling
Loan Prediction Using Machine Learning And Python
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10
To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
Ml Algorithms On Scikit And Keras
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8
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
Svm
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7
Learn to use Support Vector Machines in Python(sklearn) and R
Thresholdout Explorations
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6
playing with Dwork's adaptive holdout and how to use it for a grid-search
Zoomgrid
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5
an R package implementing the grid search optimization algorithm with a zoom
Project_floodlight
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5
Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine le
1-30 of 30 search results
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