iNeural
Pylearn2
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iNeural | Pylearn2 | |
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4 | 1 | |
5 | 2,752 | |
- | 0.0% | |
0.0 | 0.0 | |
over 1 year ago | over 2 years ago | |
C++ | Python | |
GNU Affero General Public License v3.0 | BSD 1-Clause License |
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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.
Pylearn2
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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.
What are some alternatives?
fann - Official github repository for Fast Artificial Neural Network Library (FANN)
Keras - Deep Learning for humans
GPBoost - Combining tree-boosting with Gaussian process and mixed effects models
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
command - Command, ::process::Command like syscalls in C++.
tensorflow - An Open Source Machine Learning Framework for Everyone
Seayon - Open source Neural Network library in C++
PyBrain
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.
scikit-learn - scikit-learn: machine learning in Python
armnn - Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow