standardization

Payment Request API

🐉 Compute and work with indices of effect size and standardized parameters

normalize the intensities of various MR image modalities

Repository for the GA4GH Benchmarking Team work developing standardized benchmarking methods for germline small variant calls

The Standard to create Open Standards

Molecule Validation and Standardization

memote – the genome-scale metabolic model test suite

https://bamtech.gitbooks.io/dev-standards/

📓 Open Standard for Particle-Mesh Data

A PHP library for the DaData.ru REST API

A proposal for a JSON data type in the C++ standard library

Cyber-investigation Analysis Standard Expression (CASE) Ontology

The dead simple services object oriented layer for Ruby applications to give robustness and cohesion back to your code.

Ищет выбранный адрес в ФИАС

Repository for support of the IEEE 2791-2020 standard. Please see our home page for communications/publications:

Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn

Harmonization of AMR predictor tool outputs

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

P is for project. As in, "How the hell do I work on this project."

Discussions on a possible charter for a future W3C Working Group developing Machine Learning solutions

Основной сайт Рабочей Группы 21 C++

A package for easy unit conversions

Heta language standard

This repository contains the latest stable version of XMapTools including binaries for macOS and Windows.

A living guide on how our projects should be structured at DevMountain.

Basic pattern analysis in R

Modular components for dataset preprocessing: a data-trimmer, a standarizer, a sliding-window generator and a feature selector, all optionally useable from command-line.

A TensorFlow 2 Implemention of Deep Adaptive Input Normalization for Time Series Using Keras API

Create and Manipulate BioCompute Objects