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Playlist Machinery might be a bit more popular than TFlearn. We know about 2 links to it since March 2021 and only 2 links to TFlearn. 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.
TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
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
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
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
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Magic Playlist - Get the playlist of your dreams based on a song
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.
Slackbox - Spotify playlist collaboration through Slack
Clarifai - The World's AI
Spotify.me - Beautiful analytics on your Spotify listening habits 🎧