karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) (by benedekrozemberczki)
Pylearn2
Warning: This project does not have any current developer. See bellow. (by lisa-lab)
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karateclub | Pylearn2 | |
---|---|---|
1 | 1 | |
2,086 | 2,752 | |
- | 0.0% | |
7.0 | 0.0 | |
about 2 months ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
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.
karateclub
Posts with mentions or reviews of karateclub.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Embedding attributed graphs
Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.
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)
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 karateclub and Pylearn2 you can also consider the following projects:
tensorflow - An Open Source Machine Learning Framework for Everyone
Keras - Deep Learning for humans
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
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
gym - A toolkit for developing and comparing reinforcement learning algorithms.
PyBrain
scikit-learn - scikit-learn: machine learning in Python
gensim - Topic Modelling for Humans