Search Results for "findframe method missing"
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Showing 12 open source projects for "findframe method missing"
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1
MoreLINQ
Extensions to LINQ to Objects
MoreLINQ can be used in one of two ways. The simplest is to just import the MoreLinq namespace and all extension methods become instantly available for you to use on the types they extend (typically some instantiation of IEnumerable<T>). In some very rare instances, however, doing so can cause conflicts with other libraries you may be using that incidentally also extend the same type with an identically named method and signature. This happened with MoreLINQ, for example, when Microsoft .NET... -
2
R.swift
Autocompleted resources like images, fonts & segues in Swift projects
Get strong typed, autocompleted resources like images, fonts and segues in Swift projects. It makes your code that uses resources to be fully typed, less casting and guessing what a method will return. Compile time checked, no more incorrect strings that make your app crash at runtime. Autocompleted, never have to guess that image name again. For autocompleted images, and compiletime checked images. After installing R.swift into your project you can use the R-struct to access resources... -
3
MyVoidLinux
A site to get up-to-date Voidlinux 'iso(s)'....
..., be assured I have employed the method that the Void team prescribe and use. I have made a 'txt' file available that describes the method. -
4
android-backup-splitter
Create a single adb backup for each app /sd and inform of missing apks
This project consists of two shell scrips. One splits an adb backup into several ones by app name extracting the contents of the tars to a temporal folder and then re-taring everything to get the individual ab for each android app. The other shell script uses Tar Binary Splitter to divide the main tar inside the adb backup without extracting anything from the tar, so is by far the best method. Other software is needed. The bundle is included in Android Backup Extractor, with the full README... -
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5
Lip Reading
Cross Audio-Visual Recognition using 3D Architectures
The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. The approach of AVR systems is to leverage... -
6
MUSIC
3+1D relativistic viscous hydrodynamics for heavy ion collisions
MUSIC is a 3+1D relativistic second-order viscous hydrodynamics for heavy ion collisions written in C++. The hydrodynamic equations are solved with the Kurganov-Tadmor method as described in https://arxiv.org/abs/1004.1408 and https://arxiv.org/abs/1109.6289 It includes shear and bulk viscosities at second-order as described in http://arxiv.org/abs/arXiv:1509.06738 There are currently two version of MUSIC. One version is on this website (Sourceforge), in the "Code" section. Another version... -
7
Sugar
A Javascript library for working with native objects
A straightforward API makes Sugar very easy to pick up and start using. Custom builds and modularized npm packages let you use only what you need. Users can define methods or use plugins to handle specialized use cases. The date module parses, formats, and manipulates dates and supports many locales. Sugar blends in with native methods, and defers to their implementations when possible. A comprehensive polyfill suite patches browser support when it is broken or missing. As of v2.0, native... -
8
autoFRK
Automatic Fixed Rank Kriging
... expressions when no missing value occurs. For data with missing values, the ML estimates are obtained using the expectation-maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package. -
9
Savvy Repair for Microsoft Office
Repairs/Recovers Corrupt MS Office 2007 - 2013 Format Files
... is returned to and corrupt XML sub-files are truncated and repaired as before however, missing XML sub-files are brought in from blank full healthy docx, xlsx or pptx of the respective correct extension. The fourth method uses SilverCoder's DocToText to salvage text or data after which the file is opened as an old style MS Office 97 - 2003 format file including the naked recovered text or data. See my other projects here on Sourceforge for other ways to recover corrupt MS and Open Office files. -
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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10
Attitude Estimator
A C++ implementation of a nonlinear 3D IMU fusion algorithm.
Attitude Estimator is a generic platform-independent C++ library that implements an IMU sensor fusion algorithm. Up to 3-axis gyroscope, accelerometer and magnetometer data can be processed into a full 3D quaternion orientation estimate, with the use of a nonlinear Passive Complementary Filter. The library is targeted at robotic applications, but is by no means limited to this. Features of the estimator include gyro bias estimation, transient quick learning, multiple estimation algorithms,... -
11
MetTailor
MetTailor: Dynamic Block Summary and Data Normalization for Robust Ana
... are: (1) A dynamic block summarization method for peak intensity data to correct mis-aligned peak features across the samples, significantly alleviating the missing data problem. (2) A novel data normalization procedure that adaptively adjusts the normalizing factor for the temporal variation in the chromatography based on the data from local retention time regions. -
12
sdEM
Stochastic Discriminative Expectation Maximization (sdEM)
Stochastic discriminative EM (sdEM) is an online-EM-type algorithm for discriminative training of probabilistic generative models belonging to the natural exponential family. In this work, we introduce and justify this algorithm as a stochastic natural gradient descent method, i.e. a method which accounts for the information geometry in the parameter space of the statistical model. We show how this learning algorithm can be used to train probabilistic generative models by minimizing different...
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