Search Results for "computing" - Page 14
Sort By:
Showing 1576 open source projects for "computing"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
A C++ framework utilizing Design Patterns for creating Linux and Windows communications applications that contain Dialogic® products. Includes media and network classes (analog, digital, SIP, H323), multithreaded event handling, distributed app support.
-
2
LEACrypt
TTAK.KO-12.0223 Lightweight Encryption Algorithm Tool
The Lightweight Encryption Algorithm (also known as LEA) is a 128-bit block cipher developed by South Korea in 2013 to provide confidentiality in high-speed environments such as big data and cloud computing, as well as lightweight environments such as IoT devices and mobile devices. LEA is one of the cryptographic algorithms approved by the Korean Cryptographic Module Validation Program (KCMVP) and is the national standard of Republic of Korea (KS X 3246). LEA is included in the ISO/IEC 29192-2:2019 standard (Information security - Lightweight cryptography - Part 2: Block ciphers). ... -
3
dispy
Distributed and Parallel Computing with/for Python.
dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing. -
4
JuliaCall for Seamless Integration of R
Embed Julia in R
Package JuliaCall is an R interface to Julia, which is a high-level, high-performance dynamic programming language for numerical computing. Below is an image for Mandelbrot set. JuliaCall brings more than 100 times speedup of the calculation. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
-
5
pycos
Python framework for concurrent, asynchronous, distributed tasks
Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing. -
6
Chiplot-analyze is a utility program designed to take as input 1D traces of the integrated intensity along rectangular boxed shaped regions aligned along either the equator, the meridian, or along a layer line using the program FIT2D (http://www.esrf.eu/computing/scientific/FIT2D/) and saved as “chiplot” files. Chiplot files are an ASCIII format and are easily readable in various ways.
-
7
induct1
Computes Inductance and related quantities for RF coil design.
Fortran program for computing quantities related to radio frequency coil design. Example: compute inductance when coil radius, length and number of turns of wire are known. The program implements a simple menu system whereby inductance, number of turns, coil length, resonant frequency when capacitance and inductance are known, capacitance when inductance and frequency are known and inductance when frequency and capacitance are known may be found. -
8
SuperEdge
An edge-native container management system for edge computing
SuperEdge is an open-source container management system for edge computing to manage compute resources and container applications in multiple edge regions. These resources and applications, in the current approach, are managed as one single Kubernetes cluster. A native Kubernetes cluster can be easily converted to a SuperEdge cluster. SuperEdge extends the powerful container orchestration and scheduling capabilities of Kubernetes to the edge. -
9
fitwit
Personal data generator for R statistical computing
Data set generator for R statistical computing in logging state of mind. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
10
JLinAlg is an open source and easy to use Java library for linear algebra. It can do calculations without rounding errors. Features include: basic matrix operations, algorithms for solving Linear Equation Systems, inverting matrices, computing the determinant and the eigenvalues of a matrix. We have moved to Github: https://github.com/JLinAlg/JLinAlg
-
11
Erda
An enterprise-grade Cloud-Native application platform for Kubernetes
Erda is an open-source platform created by Terminus to ensure the development of microservice applications. It provides DevOps, microservice governance, and multi-cloud management capabilities. The multi-cloud architecture based on Kubernetes and application-centric DevOps and microservice governance can make the development, operation, monitoring, and problem diagnosis of complex business applications simpler and more efficient. erda is the core repository that implements all the RESTful... -
12
StudioGAN
StudioGAN is a Pytorch library providing implementations of networks
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. StudioGAN aims to offer an identical playground for modern GANs so that machine learning researchers can readily compare and analyze a new idea. Moreover, StudioGAN provides an unprecedented-scale benchmark for generative models. The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT,... -
13
Spire
Powerful new number types and numeric abstractions for Scala
Spire is a numeric and algebraic library for Scala, offering type-safe, generic, and high-precision arithmetic. It introduces abstractions like Rings, Fields, and Rationals and supports specialized number types (e.g. Rational, Complex, Interval), macros, and seamless integration with Cats for abstract numeric programming. -
14
kotlinLab
A MATLAB-like scientific programming environment for Kotlin and Java
The KotlinLab environment aims to provide a MATLAB/Scilab like scientific computing platform that is supported by a scripting engine of the Kotlin language. The KotlinLab user can work either with a MATLAB-like command console, or with a flexible editor based on the rsyntaxarea component, that offers more convenient code development. KotlinLab supports extensive plotting facilities and can exploit effectively a lot of powerful Java scientific libraries, as JLAPACK , Apache Common Maths , EJML , MTJ , NUMAL translation to Java , Numerical Recipes Java translation , Colt etc. ... -
15
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Python 3 code to reproduce the figures in the books Probabilistic Machine Learning: An Introduction (aka "book 1") and Probabilistic Machine Learning: Advanced Topics (aka "book 2"). The code uses the standard Python libraries, such as numpy, scipy, matplotlib, sklearn, etc. Some of the code (especially in book 2) also uses JAX, and in some parts of book 1, we also use Tensorflow 2 and a little bit of Torch. See also probml-utils for some utility code that is shared across multiple notebooks. -
16
AcoPath for Java
Ant Colony Optimization algorithm for the shortest path problem.
The shortest path problem is solved by many methods. Heuristics offer lower complexity in expense of accuracy. There are many use cases where the lower accuracy is acceptable in return of lower consumption of computing resources. The basic idea of the Ant System is that virtual ants are exploited for finding paths with a specific property, e.g., short distance between physical nodes, in the same way nature guides physical ants. -
17
generativeart
Create Generative Art with R
generativeart is an R package for creating algorithmic art by computing the positions of many thousands of points according to user-defined mathematical formulas with randomized parameters. Each render uses a seed to introduce controlled randomness, so every image is unique while remaining reproducible when the same seed and formula are reused. The package logs the seed, formula, and file name to a CSV, which makes it easy to catalog outputs, re-generate favorites, and track experiments. ... -
18
NFFT
The official NFFT library repository
NFFT is a software library, written in C, for computing non-equispaced fast Fourier transforms and related variations. -
19
BitLogic
Simple Java computer algebra calculator
A calculator that solves many types of problems including solving equations computing derivatives and integrals simplifying expressions graphing equations 2d and 3d reverse polish notation, algebraic and word based interpreter infinite writing board for writing out equations requires java 11 or more -
20
JuMarker
Creation and Detection of Customized Fiducial Markers
Fiducial markers such as QR codes, ArUco, and AprilTag have become very popular tools for labeling and camera positioning. They are robust and easy to detect, even in devices with low computing power. However, their industrial appearance deters their use in scenarios where an attractive and visually appealing look is required. In these cases, it would be preferable to use customized markers showing, for instance, a company logo. This work proposes a novel method to design, detect, and track customizable fiducial markers. ... -
21
Matrix Product State (MPS) Simulations
Numerical routines for variational matrix product state simulations.
Open Source MPS (OSMPS) is a collection of numerical routines for performing tensor network algorithms to simulate entangled, 1D many-body quantum systems. Our applications reach from ground state and excited states for statics to the dynamics of time-dependent Hamiltonians. We offer various time evolution methods with an emphasis on the support of long-range interactions through the matrix product state formalism. For more algorithms, see the list of features below. Please cite "M. L.... -
22
Singularity
Open source container platform designed to be simple, fast, and secure
Singularity is an open-source container platform designed to be simple, fast, and secure. Many container platforms are available, but Singularity is designed for ease of use on shared systems and in high-performance computing (HPC) environments. -
23
HipMer
A High performance distributed memory assembler for big genomic data
...For more information and publications visit the HipMer Portal (http://portal.nersc.gov/project/hipmer/) MetaHipMer is one component of the ExaBiome project (https://sites.google.com/lbl.gov/exabiome/home), part of the Exascale Computing Project: https://www.exascaleproject.org/ -
24
Our goal is to create a pervasive platform for application engineers. Therefore we've created a modular and open framework architecture. It supports the engineers in the usage of artificial intelligence, biological behaviours and developing distributed systems in C++, C# and other languages. The basic modules of our framework can be easily used to develop also common applications for Windows, Mac-OSX and Linux platforms. It provides a hugh pool of standard functionality abstracting the...
-
25
SBW (Systems Biology Workbench)
Framework for Systems Biology
The Systems Biology Workbench(SBW) is a framework for application intercommunications. It uses a broker-based, distributed, message-passing architecture, supports many languages including Java, C++, Perl & Python, and runs under Linux,OSX & Win32. It comes with a large number of modules, encompassing the whole modeling cycle: creating computational models, simulating and analyzing them, visualizing the information, in order to improve the models. All using community standards, such as...
