Search Results for "random" - Page 2
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Showing 79 open source projects for "random"
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corlpack
Ada Library for heterogenous vectors
Corlpack consists of a library and tools aiming to simplify and accelerate programming of small, scientific, computational applications. One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs. -
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Random fun
Notebooks and various random fun
Random Fun is a personal collection of experimental scripts and Jupyter notebooks covering machine learning, mathematics, neural networks, and programming ideas. It is not a single application, but a sandbox for compact demonstrations and exploratory work. Included notebooks examine topics such as MicroGrad-style autodiff, mixture density networks, evolution strategies, floating-point behavior, and KNN versus SVMs. -
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stduuid
A C++17 cross-platform implementation for UUIDs
A C++17 cross-platform single-header library implementation for universally unique identifiers, simply know as either UUID or GUID (mostly on Windows). A UUID is a 128-bit number used to uniquely identify information in computer systems, such as database table keys, COM interfaces, classes and type libraries, and many others. -
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Yocto/GL
Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics
Yocto/GL is a collection of small C++17 libraries for building physically-based graphics algorithms released under the MIT license. Yocto/GL is written in a deliberately data-oriented style for ease of development and use. Yocto/GL is split into small libraries to make code navigation easier. See each header file for documentation. Simple shape data structure, utilities for manipulating triangle meshes, quads meshes and line sets, computation of normals and tangents, linear and Catmull-Clark... -
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LibRan
Random Variate generators for various distributions.
The LibRan package is a library of various pseudo-random number generators along with their exact probability and cumulative probability density functions. The libary contains its own optimized sequential congruential uniform pseudo-random number generator on the interval x ∈ [0, 1) ; along with useful tools such as methods for collecting statistics in bins. Each of the random variate distributions rely on a number of internal attributes to customize the distribution. ... -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
...It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates. -
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D-List
An extensive list subsystem, written in C
...D-List lists can also be easily incorporated as primitives into larger treed, or nested data management systems. D-List implements a comprehensive set of linked list primitives that provides multiple forms of both sequential and random element access, bi-directional movement within a list, and an extensive set of list and element manipulation and reordering features. It also provides for an expansive set of user functions that can be added to lists and called automatically, to efficiently implement a broad range of services using the list primitives as underlying technology. ... -
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URI.js
Javascript URL mutation library
URI.js is a javascript library for working with URLs. It offers a "jQuery-style" API (Fluent Interface, Method Chaining) to read and write all regular components and a number of convenience methods like .directory() and .authority(). URI.js offers simple, yet powerful ways of working with query string, has a number of URI-normalization functions and converts relative/absolute paths. While URI.js provides a jQuery plugin. URI.js itself does not rely on jQuery. You don't need jQuery to use... -
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WFMATH Java Bindings
Java language bindings for WFMATH
This project is a subproject of the WFMATH library, a library providing several complex mathematical primitives. This library will allow Java programmers to use WFMATH in their code. -
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Wheefun Math Library
A C/C++ library for performing mathematics.
The Wheefun Math Library (WFMATH) is a library that contains extended mathematical functionality not included in C89 and C++98. It aims to portably provide this functionality for projects which may require them. It uses an object-oriented framework, utilizing a SDL-style dispatch tables in C and special wrapper classes in C++. It is also designed so that new bindings to other languages can be written with effort. -
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larra
C++ library for archive random read access.
larra provides some simple interfaces for archive access. The main feature is that it uses the same interface for directories and archives, which allows archive-in-archive access (like .tar.gz). For file access a seekable stream interface is used. -
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BooruSharp
A C# library to browse Booru websites
...The library is distributed via NuGet and integrates seamlessly into .NET applications, making it particularly useful for developers building image browsers, bots, or automation tools. It supports a wide range of booru endpoints and exposes structured methods for accessing posts by ID, tags, or hashes, as well as retrieving random images and metadata. Additionally, BooruSharp includes support for related APIs such as comments, favorites, and tag autocomplete, depending on the target site. -
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Happy Java Library
Multilock, Collections, Controllers, Delegates, Generators, Streams
Helps to develop and test event-based multi-threaded Java application. Because of method called as API-Evolution the Happy Java Library is fully downward compatible. The library contains following functionality: MultiLock, Parallel loops, Collections, Controllers, Generators, Delegates, Streams. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings. -
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AES Everywhere
Cross Language AES 256 Encryption Library
AES Everywhere is Cross Language Encryption Library that provides the ability to encrypt and decrypt data using a single algorithm in different programming languages and on different platforms. This is an implementation of the AES algorithm, specifically CBC mode, with 256-bit key length and PKCS7 padding. It implements OpenSSL-compatible cryptography with randomly generated salt. -
16
TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The codebase is organized as modular math and finance primitives so you can combine building blocks or target end-to-end examples. ... -
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benchm-ml
A benchmark of commonly used open source implementations
...It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. The benchmarks cover algorithms like logistic regression, random forest, gradient boosting, and deep neural networks, and they compare across toolkits such as scikit-learn, R packages, xgboost, H2O, Spark MLlib, etc. The repository is structured in logical folders, each corresponding to algorithm categories. -
18
Probability Cheatsheet
A comprehensive 10-page probability cheatsheet
The probability_cheatsheet is a cheat sheet repository that summarizes key probability theory concepts, formulas, distributions, and properties in a concise format. It likely includes definitions of random variables, PMFs and PDFs, expectations, variance, common distributions (e.g. binomial, normal, Poisson, exponential), conditional probability, Bayes’ theorem, moment generating functions, and perhaps important inequalities (Markov, Chebyshev, Chernoff). The cheat sheet is intended as a quick reference for students, data scientists, statisticians, or anyone needing to recall core probability formulas without diving into textbooks. ... -
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numpy_exercises
Numpy exercises
...Exercises cover array creation, manipulation, string operations, help utilities, input and output, and linear algebra. Additional sections address discrete Fourier transforms, logic functions, mathematics, random sampling, and set routines. Sorting, searching, counting, and statistics are also included. Rather than presenting a single application, the repository serves as a structured hands-on workbook for building practical familiarity with the NumPy API. -
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Incanter
Clojure-based, R-like statistical computing and graphics environment
Incanter is a Clojure-based, R-like statistical computing and visualization library running on the JVM. It integrates core numerical libraries like Parallel Colt and JFreeChart to deliver data manipulation, modeling, statistical tests, and charting in a REPL-friendly environment. Start by visiting the Incanter website for an overview, check out the documentation page for a listing of HOW-TOs and examples, and then download either an Incanter executable or a pre-built version of the latest... -
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Tacofancy
Community-driven taco repo
TacoFancy is a collaborative cookbook built on Git, inviting everyone to submit taco recipes via pull requests. Instead of single monolithic recipes, it organizes the universe of tacos into modular parts—shells, proteins, salsas, toppings, and full assemblies—so you can mix and match to invent your own. The structure encourages creativity and reuse: a new salsa might pair with dozens of fillings, while a different tortilla technique can transform a favorite combination. Because it lives in... -
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Matlab/Octave Rotations Library
Library for working with 3D rotations in Matlab/Octave
...The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt). Operations such as composition, inversion, ZYX yaw extraction, fused yaw extraction, random generation, equality detection, vector rotation and much more have been implemented for each rotation representation. Tilt vector addition and the relative and absolute tilt phase spaces are also supported. Unit tests for each function are provided to ensure that the library is performant. -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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Fakeit
The Kotlin fake data generator library!
This library is a port of the Ruby Gem Faker. It generates realistic fake data — like names, emails, dates, and countries, for a variety of scenarios, including automated testing and database population. The library was originally created for Android projects, but it can be used in any Java or Kotlin project. -
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions.
