karateclub VS TFLearn

Compare karateclub vs TFLearn and see what are their differences.

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) (by benedekrozemberczki)
Machine Learning community-detection graph-clustering Deepwalk Networkx Louvain network-science unsupervised-learning Gcn Node2vec Graph2vec supervised-learning Sklearn networkx-graph Scikit label-propagation graph-embedding network-embedding node-embedding 2vec
Source Code
karateclub.readthedocs.io
Docs
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TFLearn

Deep learning library featuring a higher-level API for TensorFlow. (by tflearn)
Machine Learning Tflearn Tensorflow neural-network Deep Learning Data Science
Source Code
tflearn.org
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karateclub TFLearn
1 2
2,089 9,606
- 0.0%
7.0 0.0
2 months ago 5 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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.

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
    1 project | /r/MLQuestions | 5 Feb 2023
    Check out Karate Club (https://github.com/benedekrozemberczki/karateclub) . It has implementations for many attributed node embedding algorithms.

TFLearn

Posts with mentions or reviews of TFLearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-14.
  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    8 projects | dev.to | 14 Aug 2022
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow
  • Base ball
    1 project | dev.to | 20 Mar 2021
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called TFlearn, documentation available from http://tflearn.org. The program will output the home and away teams as well as their respective score predictions.

What are some alternatives?

When comparing karateclub and TFLearn you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

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

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

gym - A toolkit for developing and comparing reinforcement learning algorithms.

skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

NuPIC - Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

gensim - Topic Modelling for Humans

karateclub vs tensorflow TFLearn vs Keras karateclub vs Keras TFLearn vs tensorflow karateclub vs xgboost TFLearn vs scikit-learn karateclub vs gym TFLearn vs skflow karateclub vs scikit-learn TFLearn vs NuPIC karateclub vs gensim TFLearn vs xgboost