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Render numbers as 3-digit separated groups.Convert the number n into a string with 3-digit groups separated by opts.sep.

https://github.com/substack/number-grouperTags | digit decimal group radix mark number comma |

Implementation | Javascript |

License | MIT |

Platform | OS-Independent |

Simplified Number Conversion! Convert any number of any radix base (base 2-36) to another number of any radix base. It is written in C, and uses GTK+ for the user interface.

Extension for Decimal data type helps to set a specific precision for decimal number also setting number of decimal places and adding insignificant zeroes

A JavaScript library for arbitrary-precision decimal and non-decimal arithmetic. If a smaller and simpler library is required see big.js. It's less than half the size but only works with decimal numbers and only has half the methods. It also does not allow NaN or Infinity, or have the configuration options of this library.

bignumber arbitrary-precision decimal-places bigdecimal arbitrary precision arithmetic big number decimal float biginteger bigint bignumAn arbitrary-precision Decimal type for JavaScript. The library is similar to bignumber.js, but here precision is specified in terms of significant digits rather than decimal places, and all calculations are rounded to the precision (similar to Python's decimal module) rather than just those involving division.

bignumber arbitrary-precision significant-digits trigonometric-functions bigdecimal arbitrary precision arithmetic big number decimal float biginteger bigint bignumProvides the memdb package that implements a simple in-memory database built on immutable radix trees. The database provides Atomicity, Consistency and Isolation from ACID. Being that it is in-memory, it does not provide durability. The database is instantiated with a schema that specifies the tables and indicies that exist and allows transactions to be executed.Multi-Version Concurrency Control (MVCC) - By leveraging immutable radix trees the database is able to support any number of concurrent readers without locking, and allows a writer to make progress.

A small, fast JavaScript library for arbitrary-precision decimal arithmetic. The little sister to bignumber.js and decimal.js. See here for some notes on the difference between them.

bignumber bigdecimal arbitrary-precision decimal-places arbitrary precision arithmetic big number decimal float biginteger bigint bignum4digits is a guess-the-number puzzle game. It's also called Bulls and Cows, and in China people simply call it Guess-the-Number. The game's objective is to guess a four-digit number in 8 times.

A PowerShell script for helping to find vulnerable settings in AD Group Policy. Grouper is a PowerShell module designed for pentesters and redteamers (although probably also useful for sysadmins) which sifts through the (usually very noisy) XML output from the Get-GPOReport cmdlet (part of Microsoft's Group Policy module) and identifies all the settings defined in Group Policy Objects (GPOs) that might prove useful to someone trying to do something fun/evil.

D. R. Kaprekar found an interesting behaviour of four-digit number (say, 6349). Take any number; sort its digits in ascending (3469) and descinding (9643) order; subtract these (9643 - 3469 = 6174). Repeat these steps a couple of times. Surprisingly, you'

Your language isn't broken, it's doing floating point math. Computers can only natively store integers, so they need some way of representing decimal numbers. This representation comes with some degree of inaccuracy. That's why, more often than not, .1 + .2 != .3. Why does this happen? It's actually pretty simple. When you have a base 10 system (like ours), it can only express fractions that use a prime factor of the base. The prime factors of 10 are 2 and 5. So 1/2, 1/4, 1/5, 1/8, and 1/10 can all be expressed cleanly because the denominators all use prime factors of 10. In contrast, 1/3, 1/6, and 1/7 are all repeating decimals because their denominators use a prime factor of 3 or 7. In binary (or base 2), the only prime factor is 2. So you can only express fractions cleanly which only contain 2 as a prime factor. In binary, 1/2, 1/4, 1/8 would all be expressed cleanly as decimals. While, 1/5 or 1/10 would be repeating decimals. So 0.1 and 0.2 (1/10 and 1/5) while clean decimals in a base 10 system, are repeating decimals in the base 2 system the computer is operating in. When you do math on these repeating decimals, you end up with leftovers which carry over when you convert the computer's base 2 (binary) number into a more human readable base 10 number.

The goals of this guide are to provide some instruction on the best way to share data to avoid the most common pitfalls and sources of delay in the transition from data collection to data analysis. The Leek group works with a large number of collaborators and the number one source of variation in the speed to results is the status of the data when they arrive at the Leek group. Based on my conversations with other statisticians this is true nearly universally. My strong feeling is that statisticians should be able to handle the data in whatever state they arrive. It is important to see the raw data, understand the steps in the processing pipeline, and be able to incorporate hidden sources of variability in one's data analysis. On the other hand, for many data types, the processing steps are well documented and standardized. So the work of converting the data from raw form to directly analyzable form can be performed before calling on a statistician. This can dramatically speed the turnaround time, since the statistician doesn't have to work through all the pre-processing steps first.

This is a Reverse Polish Notation (RPN) Fraction Calculator. It works like any other RPN calculator, except that it operates on fractions instead of decimal numbers. Decimal number entries are not permitted. Whole numbers are permitted.

Tiny Calculator is a command line calculator for developers. It can resolve a complex expression mixing decimal, esadecimal an binary number. The result is automatic converted in decimal, esadecimal ad binary format.

On The Mark is a video and image scoring system that allows one to mark any number of events and durations through a simple, easy-to-use graphical interface.

YetAnotherForum.NET (YAF) is The Open Source Discussion Forum for sites running ASP.NET. 100% written in C#, YAF (pronouced like "laugh") is a unique combination of Open Source, Microsoft's .NET platform and an international collaboration of the .NET developer community. Growing and changing daily, the YAF project is lead by Jaben Cargman of Tiny Gecko. YAF runs on any web server that supports ASP.NET v2.0 (and above) and SQL Server.

forum forum-software discussion-board pollsZeus Cart is an incredibly stable & richly-interfaced, open source shopping cart and it's a simple E-commerce software package which allows, even a non-technical person to open an online store on the Internet, with minimal efforts. Zeus Cart includes a number of marketing-tailored features that can help you increase your online sales, promote repeat purchases, and boost customer satisfaction.

e-commerce shopping-cartPatientOS - an Open Source (GPL) Healthcare Information System. PatientOS (pronounced Patient-oh-es where O and S stand for Open Source) has been designed from the outset to be a Healthcare Information System (HIS). Healthcare Information System (EHR EMR PMS) for small hospitals and clinics. Scheduling, Orders, Meds, Pharmacy, Clinical Doc, HL7, Billing & more. Broad commercial support. Distributed clinical system written in pure Java with toolset to customize.

healthcare healthcare-information-systemCitadel is a collaboration suite (messaging and groupware). It provides support for Email, Calendaring/Scheduling, Address books, Bulletin boards, Mailing List Server, Instant Messaging, Wiki, Multiple domain support.

mail-server groupware bulletin-board mailing-list wiki instant-messaging smtp pop3This repository contains the code (in PyTorch) for: "LightNet: Light-weight Networks for Semantic Image Segmentation " (underway) by Huijun Liu @ TU Braunschweig. Semantic Segmentation is a significant part of the modern autonomous driving system, as exact understanding the surrounding scene is very important for the navigation and driving decision of the self-driving car. Nowadays, deep fully convolutional networks (FCNs) have a very significant effect on semantic segmentation, but most of the relevant researchs have focused on improving segmentation accuracy rather than model computation efficiency. However, the autonomous driving system is often based on embedded devices, where computing and storage resources are relatively limited. In this paper we describe several light-weight networks based on MobileNetV2, ShuffleNet and Mixed-scale DenseNet for semantic image segmentation task, Additionally, we introduce GAN for data augmentation[17] (pix2pixHD) concurrent Spatial-Channel Sequeeze & Excitation (SCSE) and Receptive Field Block (RFB) to the proposed network. We measure our performance on Cityscapes pixel-level segmentation, and achieve up to 70.72% class mIoU and 88.27% cat. mIoU. We evaluate the trade-offs between mIoU, and number of operations measured by multiply-add (MAdd), as well as the number of parameters.

semantic-segmentation mobilenet-v2 deeplabv3plus mixedscalenet senet wide-residual-networks dual-path-networks pytorch cityscapes mapillary-vistas-dataset shufflenet inplace-activated-batchnorm encoder-decoder-model mobilenet light-weight-net deeplabv3 mobilenetv2plus rfmobilenetv2plus group-normalization semantic-context-loss
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