Pylearn2
fann
Pylearn2 | fann | |
---|---|---|
1 | 2 | |
2,752 | 1,549 | |
0.0% | 0.5% | |
0.0 | 4.1 | |
over 2 years ago | 15 days ago | |
Python | C++ | |
BSD 1-Clause License | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
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.
What are some alternatives?
Keras - Deep Learning for humans
iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.
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ninfs - FUSE filesystem Python scripts for Nintendo console files
tensorflow - An Open Source Machine Learning Framework for Everyone
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PyBrain
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Seayon - Open source Neural Network library in C++