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senseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.
LaserFoam performs simulations of laser pulses using an adaptive split step Fourier method to solve the generalized nonlinear Schrödinger equation. It provides a graphical environment to run and visualize the results.
pyFoam is a Python front-end to the OpenFOAM (Open Source CFD Toolbox). It introduces interactivity into OpenFOAM, simplifies connection with third-party functionality and streamlines design of custom user solvers
The OpenFire processor is a Xilinx MicroBlaze-compatible processor being modified for use in Cyber Physical Systems research. This material is based upon work supported by the National Science Foundation under Grant No. CPS-0932113.
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Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
This is a set of Python classes that can be used to simulate dynamic multi-body systems. It used to be a project for studies. Now it is not being worked on anymore, but it is completely GPLized.
Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.
FAUNUS is an object oriented class library for molecular simulation, written in C++. It contains routines and utility programs for, Metropolis Monte Carlo sampling (NVT, NPT, NmuT ensembles), Macromolecules, Proton Titration, Widom Analysis etc.
A Software project to assimilate solar magnetograms into suitable physics based models of the solar wind expansion. To predict the solar wind conditions at the Earth and at outer planets. Or any space-craft location in the solar system.
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Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
vtkModeling-beta.zip: it is an extension of Visualization ToolKit 5.0. Basically it's a collection of deformation algorithms, like laplacian surface editing, moving least square, mass spring system, etc.
IFoam is an OpenFOAM derived framework. It uses Python programming language for definition of its API. Itegrates visual components for limited post-processing. Provides access to some GUI components for more efficient set up the simulation cases.
Translates OpenFOAM (Open Source CFD Toolbox, see http://sourceforge.net/projects/foam) data into MED format (see http://www.code-aster.org/outils/med). The initial goal to develop this utility was to be able integrate OpenFOAM functionality with SALOME
The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.
MC Traffic es un software que modela el tráfico de la Ciudad de México. Escrito principalmente en Python y Pygame, MC Traffic permite usar imágenes descargadas de Google Maps para hacer simulaciones controladas.
BARNACLE is a Python library for RNA 3D structure prediction. It can be used for probabilistic sampling of RNA structures that are compatible with a given nucleotide sequence and that are RNA like on a local length scale.
Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.
The project wants to give support to the different tasks and jobs that are made in the common electrical industry. There are many commercial applications that already do the work. We can development by ourselves and make accesible for every one who need
Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
This project is started out of the idea to simulate simple creatures like game of live. The goal is to build up an multi processor/host environment to simulate the building of simple live in given world environments.
GAI is a graphical GIS based front end to ANUGA which allows convenient and visual tools for setting up hydrodynamic models. GAI depends on ANUGA to run the models created by GAI.