Encog is an advanced neural network and machine learning framework for Java, C# and C/C++. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog
... [More] can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks. Encog has been in active development since 2008. [Less]
eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code.
It is possible to have several different sized networks running simultaneously, each functioning independently of the others or
... [More] acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network.
Networks Implemented:
* Multi Layer Neural Network with Backpropagation
* Competitive Neural Network
* Radial Basis Neural Network
* Progressive Radial Neural Network
* Progressive Learning Neural Network [Less]
This is a C library which can be used in deep learning applications. What differentiates libdeep from the numerous other deep learning systems out there is that it's small and that trained networks can be exported as completely standalone C or Python programs which can either be used via the
... [More] commandline or within an Arduino IDE for creating robotics or IoT applications.
A Python API for libdeep is also available. [Less]
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.
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