bodywork VS TFLearn

Compare bodywork vs TFLearn and see what are their differences.

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bodywork TFLearn
8 1
316 9,576
3.2% 0.1%
9.7 0.0
7 days ago 12 months ago
Python Python
GNU Affero General Public License v3.0 MIT 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.

bodywork

Posts with mentions or reviews of bodywork. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-17.

TFLearn

Posts with mentions or reviews of TFLearn. We have used some of these posts to build our list of alternatives and similar projects.
  • 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 bodywork and TFLearn you can also consider the following projects:

Keras - Deep Learning for humans

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

tensorflow - An Open Source Machine Learning Framework for Everyone

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

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

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.

tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

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

gensim - Topic Modelling for Humans

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