Topic: moments Goto Github
Some thing interesting about moments
Some thing interesting about moments
moments,Rigorous moment propagation with partial information about moments and dependencies in Julia
User: andergray
moments,Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.
User: andy489
moments,Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
User: augustinas1
Home Page: https://augustinas1.github.io/MomentClosure.jl/dev/
moments,🔥 iOS 利用MVVM + RAC + ViewModel-Based Navigation来搭建微信(WeChat 7.0.0+)的整体基本架构,以及实现微信朋友圈、通讯录、下拉小程序、搜索等主要功能,代码规范惊为天人、注释详解令人发指、细节处理精益求精、核心功能配备文档、接近98%还原度的原生App视觉体验,代码不多,注释多。(持续更新,敬请期待,欢迎Star和Fork…)
User: codermikehe
Home Page: https://github.com/CoderMikeHe/WeChat
moments,一个 C# 开发的博客朋友圈平台。
User: drizzle365
Home Page: https://moments.shiyu.dev
moments,A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
User: fholtorf
moments,Sample app showing integration with the Storyteller Android SDK for adding stories to your mobile app
Organization: getstoryteller
Home Page: https://getstoryteller.com
moments,moment service, include post, comment, reply, like feature.
Organization: go-microservice
moments,Humoments
User: hknakst
moments,Extension of MultivariatePolynomials to moments of multivariate measures
Organization: juliaalgebra
moments,
User: lefaivre
moments,:star2: uni-app-moments 类似微信朋友圈模版
User: liuxiaoyucc
moments,Frontend static prototype repo for experiences ai
Organization: meetyourai
Home Page: https://meetyourai.github.io/ExperiencesAi/
moments,Irene is a python package that aims to be a toolkit for global optimization problems that can be realized algebraically. It generalizes Lasserre's Relaxation method to handle theoretically any optimization problem with bounded feasibility set. The method is based on solutions of generalized truncated moment problems over commutative real algebras.
User: mghasemi
moments,C Programming Solutions for Real Analysis and Numerical Analysis Problems
User: psuchi
Home Page: https://sxccoding.blogspot.com/
moments,A Python Package For Biomechanical Analysis
User: rmehrizi
moments,Discord 2.0 with REACT.JS! (Next.js, NextAuth.js v4.17.0, Tailwind CSS, Typescript, Server create, Firebase v9, Image Uploading, Google Authentication, 1-1 Messaging, Real Time Messenger )
User: sashenjayathilaka
Home Page: https://clone-sproject.vercel.app
moments,Computing (batch-wise) sample statistics.
User: sbrodehl
Home Page: https://pypi.org/project/batchedmoments
moments,Bernoulli distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Beta distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Binomial distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Chi-squared distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Raised cosine distribution expected value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Raised cosine distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Degenerate distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Discrete uniform distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Erlang distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Gamma distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Geometric distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Gumbel distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Kumaraswamy's double bounded distribution expected value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Laplace (Double Exponential) distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Lévy distribution expected value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Lévy distribution variance.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Logistic distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Lognormal distribution expected value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Negative binomial distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Normal distribution expected value.
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Normal distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Poisson distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Rayleigh distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,Weibull distribution moment-generating function (MGF).
Organization: stdlib-js
Home Page: https://github.com/stdlib-js/stdlib
moments,A website designed for couples to capture and preserve their special moments
User: tech-kev
moments,An improved and tested code to produce Hu's Invariant moments for any Image/ Audio signals. Hu's Invariant Moments are One of the Best Feature Extraction Techniques for Further Analysis.
User: tejas1415
moments,Infer metabolic directions from moment differences of mass-weighted intensity distributions
User: tubanlee
Home Page: https://doi.org/10.5281/zenodo.10616979
moments,Robust estimations from distribution structures: Central moments.
User: tubanlee
Home Page: https://doi.org/10.5281/zenodo.8127703
moments,Better mobile photo gallery
User: tylerwowen
Home Page: https://tylerwowen.github.io/photogallery/
moments,With this software, you can do all kinds of Personalised Customize and beautifying to your videos.
User: xujingzhou
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