fann
iNeural
| fann | iNeural | |
|---|---|---|
| 2 | 4 | |
| 1,549 | 5 | |
| 0.5% | - | |
| 4.1 | 0.0 | |
| 18 days ago | over 1 year ago | |
| C++ | C++ | |
| GNU Lesser General Public License v3.0 only | GNU Affero General Public License v3.0 |
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fann
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my question gave my intentions clearly that i dont plan to downgrade my OS to 64bit
Adding FreeBASIC(!) bindings to a neural network library(!!) is important
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iNeural : Update (8.12.21)
It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements.
iNeural
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[Hobby] I Need a Friendly Team. Your Experience Doesn't Matter!
iNeural (Creating Artificial Neural Networks) : https://github.com/fkkarakurt/iNeural
- iNeural
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iNeural : Update (8.12.21)
git clone https://github.com/fkkarakurt/iNeural.git
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iNeural : A library for creating Artificial Neural Networks
I have passed the first stage of this artificial neural network library, where I use the Eigen 3 library extensively. I continue to develop the project. You can check it out on my GitHub account.
What are some alternatives?
ninfs - FUSE filesystem Python scripts for Nintendo console files
GPBoost - Combining tree-boosting with Gaussian process and mixed effects models
Pylearn2 - Warning: This project does not have any current developer. See bellow.
command - Command, ::process::Command like syscalls in C++.
c-ares - A C library for asynchronous DNS requests
Seayon - Open source Neural Network library in C++
NooDS - A (hopefully!) speedy DS emulator
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.
melonDS - DS emulator, sorta
armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.