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Playlist Machinery VS TFlearn

Compare Playlist Machinery VS TFlearn and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Playlist Machinery logo Playlist Machinery

Tools that help you create & organize your Spotify playlists

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • Playlist Machinery Landing page
    Landing page //
    2019-02-27
Not present

Playlist Machinery videos

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TFlearn videos

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Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Category Popularity

0-100% (relative to Playlist Machinery and TFlearn)

Playlist Machinery

TFlearn

Music
100 100%
Music
0% 0
OCR
0 0%
OCR
100% 100
Spotify
100 100%
Spotify
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

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Social recommendations and mentions

TFlearn might be a bit more popular than Playlist Machinery. We know about 2 links to it since March 2021 and only 2 links to Playlist Machinery. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Playlist Machinery mentions (2)

  • Trying to organize my Spotify account, looking for help/tools
    I love all the tools from PlaylistMachinery when I'm looking to do things Spotify won't... Like dedupe. http://playlistmachinery.com/. Source: about 1 year ago
  • I miss Smart Playlists from iTunes. How do you replicate in Spotify?
    There's no way to do it inside the official Spotify app. There are some 3rd party tools that offer some interesting functionality though like http://playlistmachinery.com/. Source: over 2 years ago

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
  • Base ball
    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... - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Playlist Machinery and TFlearn, you can also consider the following products

Magic Playlist - Get the playlist of your dreams based on a song

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Slackbox - Spotify playlist collaboration through Slack

Clarifai - The World's AI

Spotify.me - Beautiful analytics on your Spotify listening habits 🎧

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

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