Search Results for "random" - Page 5
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Showing 211 open source projects for "random"
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gofuzz
Fuzz testing for go
gofuzz is a lightweight fuzzing utility for Go that rapidly generates randomized, edge-case-heavy inputs to populate structs, maps, slices, and scalar fields. It’s engineered to make property tests productive by automatically traversing nested types and supplying varied values, including zero values, extremes, and random strings or byte sequences. Because it respects Go’s type system, it can generate valid shapes for complex generic or composite types with very little setup. Users can register custom functions to influence how certain fields are constructed, which is useful for domains with strict invariants. The library’s determinism controls allow reproducible failures while still offering diverse coverage across runs. ... -
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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. -
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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. -
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Peacock for Visual Studio Code
Subtly change the color of your Visual Studio Code workspace
...The extension enables users to apply custom colors to various UI elements such as the title bar, activity bar, and status bar. It supports both predefined and user-defined colors, as well as random color generation for quick customization. Peacock integrates with features like Live Share and remote development, automatically adjusting colors based on the session context. It also allows fine-grained control over which UI elements are affected by the color changes. The extension stores settings within the workspace configuration, ensuring consistency across sessions. -
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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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Node.js chaos monkey
Extremly naughty chaos monkey for Node.js
node-chaos-monkey brings chaos engineering to Node.js by injecting controlled failures into running services to validate resilience. It lets teams rehearse real-world incidents—latency spikes, random process exits, resource exhaustion—and observe how circuits, retries, and backoff strategies behave. The tool is designed to be safe and configurable, enabling narrow blast radii and scheduled experiments during non-critical windows. It integrates naturally with staging or even carefully guarded production environments where you want confidence instead of assumptions. ... -
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DESMO-J is a framework for rapidly building discrete event driven simulation models in Java, which is not restrained to any particular domain of application. It supports both event-oriented and process-oriented modelling views. See http://desmoj.de.
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Kalibr Allan
IMU Allan standard deviation charts
...These plots are analyzed to determine noise density and random walk parameters for both gyroscopes and accelerometers. The repository also includes example data and plots from real sensors such as the XSENS MTI-G-700, Tango Yellowstone Tablet, and ASL-ETH VI-Sensor, providing reference points for interpretation. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Asuro Cleans The Table
Asuro robot cleans the table
The Asuro searchs the bottles by random direction. If he finds a bottle, he centers himself and moves the bottle out of the white table. -
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node-js-getting-started
Getting Started with Node on Heroku
...For more information about using Node.js on Heroku, see these Dev Center articles. When you create an app, a git remote (called heroku) is also created and associated with your local git repository. Heroku generates a random name (in this case sharp-rain-871) for your app, or you can pass a parameter to specify your own app name. Heroku treats logs as streams of time-ordered events aggregated from the output streams of all your app and Heroku components, providing a single channel for all of the events. Procfiles can contain additional process types. ... -
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PrydeWorX Library
The PrydeWorX C++ Library of workers, tools and utilities.
The PrydeWorX Library project has been moved to: https://pwxlib.prydeworx.com The page here is kept as historical reference. The information is outdated, and won't get updated any more. -
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UE4-Plugin-OffAxis
This plugin provides a fishtank-VR via a so-called OffAxisProjection
UE4-Plugin-OffAxis plugin provides a fishtank-VR via a so-called OffAxisProjection by modifying the projection matrix using a custom ULocalPlayer. If your project is a C++ project, you are good to go. If you have a pure blueprint project, add a random C++ class via File -> Add C++ class (empty class is fine). Copy the Plugin in your (you might need to create a Plugin folder in the directory where your project file is). Start (or restart) Unreal Engine. You might get a warning that the plugin needs to be rebuilt. That's normal. Drag the OffAxisActor in your scene. Set position of OffAxisActor to 0,0,0. ... -
14
MTProxy
Simple MT-Proto proxy
MTProxy is Telegram’s official MTProto proxy server implementation that enables users to create and run proxy nodes for the Telegram messaging platform, helping people connect securely and reliably when direct access to Telegram is restricted or blocked. It implements the MTProto proxy protocol, which obfuscates encrypted Telegram traffic so it appears indistinguishable from normal HTTPS/TLS flows, making it harder for ISPs or authorities to detect and block Telegram traffic based on... -
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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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TSP Solver and Generator
Generate and solve Travelling Salesman Problem tasks
TSPSG is intended to generate and solve Travelling Salesman Problem (TSP) tasks. It uses Branch and Bound method for solving. An input is a number of cities and a matrix of city-to-city travel prices. The matrix can be populated with random values in a given range (useful for generating tasks). The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. The result can be printed or saved as PDF, HTML, or ODF. TSPSG may be useful for teachers to generate test tasks or just for regular users to solve TSPs. ... -
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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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RandomKit
Random data generation in Swift
RandomKit is a Swift framework that makes random data generation simple and easy. RandomKit is possibly also compatible with FreeBSD, Android, and Windows (under Cygwin) but has not been tested for those platforms. The RandomGenerator protocol defines basic methods for generating primitive values and randomizing a buffer. All provided types that conform to RandomGenerator have a static default value that can be passed as an inout argument to generation functions. -
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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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PadotusRNDT.js
This library allows you to generate a random number
This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test). -
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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. -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). ... -
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CryptoLibraryRefImpl
encapsulates secure crypto algorithms for easy use
This library exposes security functionality to the programmer, such as random number generation, hashing, salted hashing, message authentication code, symmetric encryption, asymmetric encryption, hybrid encryption, digital signature and in-memory protection. The library is accompanied by a sophisticated reference implementation, that demonstrates how to make use of the CryptoLibrary. -
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chat.io
A Real Time Chat Application built using Node.js, Express, Mongoose
...You need to register a new application on both Facebook and Twitter to get your tokens by which users can grant access to your application, and log in using their social accounts. The session needs a random string to make sure the session id in the browser is random. That random string is used to encrypt the session id in the browser, Why? To prevent session id guessing. Each user has a username, password, social Id, and picture. If the user is logged in via username and password, then the social Id has to be null, and the if logged in via a social account, then the password will be null.
