Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
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Dec 9, 2024 - Python
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scaling-methods
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A Java library for classical test theory, item response theory, factor analysis, and other measurement techniques. It provide tools commonly used in psychometrics and operational testing programs.
java irt java-library factor-analysis dif item-response-theory psychometrics rasch scaling-methods test-theory
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Oct 3, 2024 - Java
Yet another scaling library. Currently in maintenance-only mode.
documentation library lua game-development love2d stretch pixel-perfect scaling single-file scaling-methods
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Oct 9, 2024 - Lua
Python 3.12 application for scaling images using various algorithms
photos image ai pixel-art images image-processing image-converter image-compression image-scaling pixelart scaling-methods
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Dec 10, 2024 - Python
Kernel objects for scaling and format conversion within VapourSynth
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Dec 6, 2024 - Python
In this project I intend to predict customer churn on bank data.
research exploratory-data-analysis machine-learning-algorithms pandas python3 outlier-detection imbalanced-data kneighborsclassifier logisticregression gaussian-naive-bayes-implementation linearsvc decisiontreeclassifier scaling-methods adaboostclassifier randomforestclassifier
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Sep 24, 2020 - Jupyter Notebook
My Monte-Carlo numerical simulations of competing dynamics Ising model
metropolis-monte-carlo monte-carlo-simulation metropolis box-counting ising-model-2d scaling-methods kawasaki scaling-algorithms competing-dynamics
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Feb 1, 2023 - Jupyter Notebook
learning python day 4
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Mar 15, 2024 - Jupyter Notebook
Badanie metod skalowania w algorytmach genetycznych
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May 29, 2020 - Jupyter Notebook
[archived] Lesson files in 3L Scaling Methods for Social Science: Estimating Patterns and Preferences in Surveys and Behavior (2020 ESSEX SUMMER SCHOOL), taught by Royce Carroll
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May 30, 2022
In this ML, I predict the price of houses and compare accuracy using multiple models such as random forest regressor, MLP regressor, linear regression, and XGBoost.
machine-learning random-forest regression-models prediction-model scaling-methods scaling-algorithms
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Apr 17, 2021 - Jupyter Notebook
Neat_FrontEnd
angularjs angular angular-material angular-cli scaling scaling-methods scaling-image scaling-relations
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Apr 17, 2022 - TypeScript
An application that demonstrates the ability to change the scaling of the parent window through the child modal window. Written in C# WPF.
csharp homework wpf scaling wpf-controls csharp-code homework-assignments wpf-ui wpf-application scaling-methods scaling-algorithms
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May 20, 2021 - C#
basicspace: Recovering a Basic Space from Issue Scales (R package)
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Dec 9, 2024 - Fortran
contains the basic structure that a model serving application should have. This implementation is based on the Ray Serve framework.
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Jan 16, 2023 - Python
📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
machine-learning linear-regression seaborn mse ridge-regression statsmodels scikitlearn-machine-learning lasso-regression mae scaling-methods train-test-using-sklearn matplotlib-pyplot r2score variance-inflation-factor elasticnet-regression scipy-stats numpy-pandas
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Jul 9, 2024 - Jupyter Notebook
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Apr 26, 2024 - C#
Recruiting and retaining drivers is seen by industry watchers as a tough battle for Ola. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to Uber depending on the rates.
encoding machine-learning random-forest ensemble-learning confusion-matrix feature-engineering hyperparameter-tuning gridsearchcv scaling-methods precision-recall smote-sampling bagging-ensemble roc-auc-curve featureimportance
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Jun 28, 2024 - Jupyter Notebook
Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
machine-learning linear-regression sklearn ridge-regression ols-regression statsmodels lasso-regression mean-square-error scaling-methods r2-score train-test-using-sklearn variance-inflation-factor
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Jun 28, 2024 - Jupyter Notebook
Optimization algorithms and heuristics
sparse-matrix tsp-problem lin-kernighan-heuristic travelling-salesman-problem tsp-solver scaling-methods computational-optimization lkh vrpy
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Sep 25, 2023 - Python
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