Search Results for "neural python"
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Showing 11 open source projects for "neural python"
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Resolve Support Tickets 2x Faster with ServoDeskWhat if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
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MEXC Digital Asset ServicesLaunched by senior quantitative trading teams form Wall St., Europe and Japan in the form of distributed organizations, MEXC (formerly MXC) is committed to providing digital assets followers worldwide with secured, fast, and user-friendly cryptocurrency trading services. Five business models are provided on MEXC platform: Spot Trading, C2C, Derivatives, PoS Pool, and MXC Labs. High-performance mega-transaction matching engine technology. Distributed “Super Node” program for adequate community autonomy. Assets protected by top-level security firms Palmim and Knownsec. MEXC Exchange is an exchange platform focusing on cryptocurrency assets, founded by some senior practitioner in blockchain industry and specialists from Wall Street, Japan, and Europe. MEXC offers safer, smarter, and more convenient exchange services, together with selected blockchain asset, safety insurance, dedicated to building a world-leading cryptocurrency exchange platform.
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GNNePCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
Our project harnesses the power of Graph Neural Network (GNN) to estimate pure-component parameters of the state-of-the-art Equation of State, PC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators. -
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Moose
Multiscale Neuroscience and Systems Biology Simulator
Moose is the core of a modern software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes. We have moved Github.com. This should be your source for the latest version of the code. -
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nevesim
NEVESIM is an event-driven neural simulation tool.
NEVESIM is a software package for event-driven simulation of networks of spiking neurons with a fast simulation core in C++, and a scripting user interface in the Python programming language. It supports simulation of heterogeneous networks with different types of neurons and synapses, and can be easily extended by the user with new neuron and synapse types. To enable heterogeneous networks and extensibility, NEVESIM is designed to decouple the simulation logic of communicating events... -
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Topographica
Simulation software for brain modelling
Topographica is a neural modeling package developed in a Human Brain Project grant from NIH. Topographica helps neuroscientists and computational scientists simulate and understand how topographic maps contribute to brain function. Topographica is now primarily maintained at github.com; see https://github.com/ioam/topographica for recent updates and releases. -
The software that empowers your board, from a name you trust.Nasdaq Boardvantage helps directors, committees, and leadership teams be better prepared, engaged, and aligned in their collaboration and decision-making processes. Plus, our board portal makes it easier than ever for corporate secretaries and administrators to manage meetings, build agendas, and distribute materials
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NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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PCSIM is a tool for distributed simulation of heterogeneous networks composed of different model neurons and synapses. The development of PCSIM was supported by the FACETS EU project.
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Brainlab is a Python toolkit to aid in the design, simulation, and analysis of spiking neural networks with the NeoCortical Simulator (NCS).
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Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
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We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
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Intelligent Credit-to-Cash Solutions for Global Finance TeamsD&B Finance Analytics provides AI-driven solutions powered by the Dun & Bradstreet Data Cloud. Intelligent, flexible, and easy to use, D&B Finance Analytics helps finance teams to manage risk, increase operational efficiency, reduce cost, and improve the customer experience.
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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