tfgraphviz VS TFLearn

Compare tfgraphviz vs TFLearn and see what are their differences.

tfgraphviz

A visualization tool to show a TensorFlow's graph like TensorBoard (by akimach)
Machine Learning Tensorflow Tensorboard Python Visualization Graphviz Deep Learning neural-network dataflow-programming
Source Code
pypi.python.org
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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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tfgraphviz TFLearn
- 2
45 9,606
- 0.0%
0.0 0.0
almost 3 years ago 5 months ago
Python Python
MIT License 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.
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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.

tfgraphviz

Posts with mentions or reviews of tfgraphviz. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning tfgraphviz yet.
Tracking mentions began in Dec 2020.

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 tfgraphviz and TFLearn you can also consider the following projects:

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

Keras - Deep Learning for humans

tensorflow - An Open Source Machine Learning Framework for Everyone

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

rwa - Machine Learning on Sequential Data Using a Recurrent Weighted Average

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.

MLflow - Open source platform for the machine learning lifecycle

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

tfgraphviz vs Clairvoyant TFLearn vs Keras tfgraphviz vs tensorflow TFLearn vs tensorflow tfgraphviz vs Keras TFLearn vs scikit-learn tfgraphviz vs rwa TFLearn vs skflow tfgraphviz vs scikit-learn TFLearn vs NuPIC tfgraphviz vs MLflow TFLearn vs xgboost