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مشاهده بیشتر
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مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
کتابخانه
توضیح خلاصه
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example module
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changes desktop background
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changes desktop background
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Gaussian and Binomial distributions
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Gaussian distributions
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Binomial and Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial distribution
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Gaussian distributions
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Gaussian and binomial distributions
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Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian and Binmialdistributions
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Binomial and Gaussian distributions
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Gaussian_and_Binomial_distributions_package(v1.0)
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Binomial and Gaussian distributions
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Binomial and Normal Distributions
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Library using the src folder for the Premiers Repondants Project
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Binomial distributions
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Gaussian distributions
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Binomial distributions ToTry
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Gaussian Binomial distributions
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Binomial distributions
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Differentially Private UMP Test for Binomial Data
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Gaussian distributions
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Implementacja Dwumianu Newtona
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Implementacja Dwumianu Newtona
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Implementacja Dwumianu Newtona
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Gaussian distributions
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Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian and Binomial Distributions
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Gaussian distributions
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Gaussian and Binomial distribution
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Gaussian and Binomial distributions
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Gaussian and Binomial distributions
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Binomial and Gaussian Distribution
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Gaussian distributions
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Binomial and Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian & Binomial distributions
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Gaussian and Binomial distributions
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Binomial and Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian distributions
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Gaussian and Binomial distributions
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Gaussian distributions
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Gaussian distributions
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Gaussian distributions
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The binomialRF package is a random forest-based feature selection package that provides a feature selection algorithm to be used in randomForest classifiers.
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Gaussian distributions
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Simple translatable multilevel menu system.
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Gaussian distributions
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Gaussian distributions and Binomial distribution
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A tiny, yet blazingly fast machine learning library written in Rust with Python interface.
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Categorisation of labeled data
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Gaussian and binomial distributions
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Python package for Binomial and Bell-Curved-Shaped Normal Distribution
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Binomial and Gaussian distributions
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Binary packing of data.
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Distribute weighted tasks equally to workers by solving Bin Packing problem. This package provides an abstraction for user to extend
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Heuristic distribution of weighted items to bins (either a fixed number of bins or a fixed number of volume per bin). Data may be in form of list, dictionary, list of tuples or csv-file.
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Provides 1D bin packing logic.
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Binance API wrapper with backtesting tools.
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a utility lib for parsing text bins
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Python bin struct parser
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General binary file parser
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Simple library for de/serializing binary data
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Optimized format for pickling binary data.
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A binary plist parser
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Gaussian and Binomial probability distributions
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Simple package to pretty print binary data in python
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Package for fitting continuous profiles to binned data
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Gaussian and Binomial distributions
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Virtualizing Electronics
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Python BinaryReader class
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Bin robot
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Method to cluster contigs based a biphasic method with coverage and composition
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Python implementation of binary similarity and distance measures.
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Binsearchpy library is created with binary seach algorithm to make the search faster from list data structure
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Intiser's Search Tools
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Это пакет для реализации бинарного поиска
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Feature selection for Hard Voting classifier
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Tool to analyze the size of a binary from .elf file
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binsmooth - Better Estimates from Binned Income Data.
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Implements binscatter methods, including partition selection, point estimation, pointwise and uniform inference methods, and graphical procedures.