fann vs Pylearn2

fann

Official github repository for Fast Artificial Neural Network Library (FANN) (by libfann)

Fann C neural-network Library

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Pylearn2

Warning: This project does not have any current developer. See bellow. (by lisa-lab)

Machine Learning

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fann		Pylearn2
	Project
2	Mentions	1
1,549	Stars	2,752
0.5%	Growth	0.0%
4.1	Activity	0.0
17 days ago	Latest Commit	over 2 years ago
C++	Language	Python
GNU Lesser General Public License v3.0 only	License	BSD 1-Clause License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fann

Posts with mentions or reviews of fann. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-21.

my question gave my intentions clearly that i dont plan to downgrade my OS to 64bit
8 projects | /r/programmingcirclejerk | 21 Sep 2022

Adding FreeBASIC(!) bindings to a neural network library(!!) is important
iNeural : Update (8.12.21)
3 projects | dev.to | 8 Dec 2021

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.

Pylearn2

Posts with mentions or reviews of Pylearn2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.

iNeural : Update (8.12.21)
3 projects | dev.to | 8 Dec 2021

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?

When comparing fann and Pylearn2 you can also consider the following projects:

iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.

Keras - Deep Learning for humans

ninfs - FUSE filesystem Python scripts for Nintendo console files

SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

c-ares - A C library for asynchronous DNS requests

tensorflow - An Open Source Machine Learning Framework for Everyone

NooDS - A (hopefully!) speedy DS emulator

PyBrain

melonDS - DS emulator, sorta

scikit-learn - scikit-learn: machine learning in Python

Seayon - Open source Neural Network library in C++

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