Search Results for "computations"
Sort By:
Showing 25 open source projects for "computations"
View related business solutions-
Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
-
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.
-
1
ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
...ParallelStencil relies on the native kernel programming capabilities of CUDA.jl and AMDGPU.jl and on Base.Threads for high-performance computations on GPUs and CPUs, respectively. It is seamlessly interoperable with ImplicitGlobalGrid.jl, which renders the distributed parallelization of stencil-based GPU and CPU apps. -
2
Finch.jl
Sparse tensors in Julia and more
Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code. -
3
PartitionedArrays.jl
Vectors and sparse matrices partitioned into pieces
This package provides distributed (a.k.a. partitioned) vectors and sparse matrices in Julia. See the documentation for further details. -
4
GraphNeuralNetworks.jl
Graph Neural Networks in Julia
GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework Flux.jl. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
5
Arroyo
Distributed stream processing engine in Rust
Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available. -
6
JUDI.jl
Julia Devito inversion
...The focus of the package lies on seismic modeling as well as PDE-constrained optimization such as full-waveform inversion (FWI) and imaging (LS-RTM). Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
7
Euler Math Toolbox
Numerical and Symbolic Math Tool
Euler is a powerful all-in-one numerical software and includes Maxima for seamless symbolic computations. Euler supports Latex for math display, Povray for photo-realistic 3D scenes, Python, Matplotlib and C for scripting, and contains a full programming language. Features include libraries for numerical algorithms, optimization, plotting in 2D and 3D, graphics export, a complete help system, tutorials and examples. Euler runs in Windows natively, or in Linux via Wine. -
8
NumeRe
Framework for numerical computations, data analysis and visualisation
Curve fitting | Data analysis | Plotting | Matrix operations | FFT | Extensible framework | Multiple file formats | Programmable | Open source | Free for everyone NumeRe: Framework for Numerical Computation is a numerical framework written for Microsoft Windows(R) and released under the GNU GPL v3 for solving and visualizing mathematical and physical problems numerically. Keep simple things simple: You want to plot a sine function? Just enter 'plot sin(x)'. You want to load some... -
9
DataMelt
Computation and Visualization environment
...This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using powerful Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
-
10
3Depict
atom probe software : visualisation and data analysis
This software is designed to help users visualize and analyze 3D point clouds with an associated real value, in a fast and flexible fashion. The primary use is in Atom Probe Tomography, which is an atomic imaging technique. However the program may also be useful in other areas, such as geospatial data, lidar, etc. -
11
X10
Performance and Productivity at Scale
...This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous parallelism. Both its modern, type-safe sequential core and simple programming model for concurrency and distribution contribute to making X10 a high-productivity language in the HPC and Big Data spaces. User productivity is further enhanced by providing tools such as an Eclipse-based IDE (X10DT). ... -
12
RadiationHelper
Alpha, Beta, Gamma measurements and Nuclide exposure
RadiationHelper is a data analysis tool for : 1. gross alpha and beta radiation measurement and detector calibration using experimental data (counts acquired by alpha-beta devices). 2. gamma spectroscopy measurements and detector calibration using experimental data (spectra acquired by acquisition software such as Assayer, Gamma Vision, Maestro) 3. gross alpha,beta, gamma detector efficiencies and gamma peak efficiency can be theoretical computed using Monte-Carlo simulation technique for radiation transport (based on EGSnrc toolkit) 4.dose assessment in human body exposed to radiations from nuclides in several common scenarios such as air exposure, water submersion, ground surface, internal ingestion or inhalation. 5. quick dosimetry and shielding computations. It is platform independent (written entirely in Java). Source code included in jar files! Also, available on GitHub: https://github.com/ZiliasTheSaint/RadiationHelper.git Checkout for dependent modules! -
13
Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python
...Visualization is done using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted). Cut development cut development time by 80%. Your prototype is your solution. Create automatic pipelines for any model. -
14
...This project provides tools for manipulate and convert the lata files. This project is part of the VisIt plugin reader. The Snorky3D sofware is presented in the following conference communication: Visualisation of CFD computations: millions of particles in real time with Snorky3D Visu 2012, september 2012, Paris, France http://visu2012.imag.fr/articles/mathieu.pdf
-
15
Ship Lock Scheduling
Scheduling lockages at ship locks with several parallel lock chambers
This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding the Kiel Canal. ... -
16
Python(x, y)
Scientific-oriented Python Distribution based on Qt and Spyder
Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment. -
17
SCaVis
Scientific Computation and Visualization Environment
...The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Elements of symbolic computations using Octave/Matlab scripting are supported. The project was migrated to DataMelt. -
18
CPS Wildfire Management Tool
A wildfire decision support system and visualization tool from Emxsys.
The Wildfire Management Tool (WMT) predicts the potential fire behavior of a wildland fire. WMT incorporates a 3D terrain viewer, the tenets of the Campbell Prediction System (CPS) and the Rothermel fire spread equations to depict fire behavior. WMT is used to adjust tactics & strategies to ensure the safety of firefighters and the effective use of firefighting resources. Requires Java 8 (included) - http://www.java.com/download -
19
Flatland VR
Flatland is the virtual environment for Virtual Reality.
Flatland is the virtual environment developed to perform these investigations. Using Flatland as the base environment scientists can visualize and explore both their data and the computations that manipulate that data. Imagine, if you will, a scientist able to examine the real-time results of a simulation and, when he notices an anomally he would like to investigate, he turns to the program running the simulation and examines the code, possibly changing it on the fly. This is the dream of Flatland. -
20
VisualRiSC
Toolbox visualizing computations of Realizable Sign Conditions.
...The RiSC approach is a way to solve and analyze systems of polynomial equations and inequalities over the real numbers in the field of real-algebraic geometry. The involved computations often consist of highly sophisticated notions, not easy to illustrate by hand. VisualRiSC provides implementations of such notions and functions using the Python package SymPy, on the one hand, and an interface to Gnuplot in order for a visualization of examples using the Python package Gnuplot.py. -
21
PyGTS is a python package used to construct, manipulate, and perform computations on triangulated surfaces. It is a hand-crafted and pythonic binding for the GNU Triangulated Surface (GTS) Library. THIS PROJECT IS NOT BEING MAINTAINED.
-
22
glomp is an open source multipipe OpenGL library. Its intent is to automatically distribute 3D graphics computations over multiple graphics card on the same machine.
-
23
METIL is a python-like interpreted or compiled language made for speed and generic programming, as in C++ but with static symbolic computations, type propagation, "for" surdefinition. Object orientation is centered on properties, rather than hierarchy.
-
24
RStatServer is a system for quickly developing and deploying web applications that integrate statistical computations and graphics. It is built using the Zope web application develeopment system and the open-source statistical data analysis environment R
-
25
Viewmol is a graphical front end for computational chemistry programs. It is able to graphically aid in the generation of molecular structures for computations and to visualize their results.
- Previous
- You're on page 1
- Next
