Search Results for "multi-layer perceptron python"
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Showing 5 open source projects for "multi-layer perceptron python"
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
This is a small, self-contained framework for training and querying neural networks. Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. ... -
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nunn
This is an implementation of a machine learning library in C++17
nunn is a collection of ML algorithms and related examples written in modern C++17. -
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Multi-Core optimized Perceptron Network is a high-performance artificial neural network specially designed for workstations with multi-core CPUs, implemented as a shared library and coded in C++.
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Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
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ERP System for ManufacturingProShop is a paperless and web based shop management, ERP, MES and QMS system for manufacturing companies in regulated industries. ProShop was built on the shop floor of a machine shop for nearly 20 years, and it's not like anything you've seen. Built to manage the complex manufacturing environment better than anything else on the market - by an order of magnitude. Never before has there been a system that gives you such insight into every detail of your manufacturing company. ProShop is best described as a Digital Manufacturing Ecosystem (DME). It is 100% paperless, and combines the features found in ERP, MES, QMS, CMMS, and other software categories for machine shops, fabricators, job shops, contract manufacturers and others in regulated industries who need tight controls on their process and want exacting and timely information to make the best and most profitable decisions.
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Neural network library for C++ applications in Windows and Linux. Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported. You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
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