Based on our record, Magic Playlist should be more popular than TFlearn. It has been mentiond 6 times since March 2021. 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.
Try this site out. It’s basically a similar to this music finder. I do encourage you to try and expand your tastes, but it’s definitely a habit to listen to use music, so ease into it! I usually make a goal of 3 new albums a week. Magic playlist. Source: over 2 years ago
In regards to OP’s question, lately I’ve been digging through genre specific sub-Reddits. There are tonnes of people out there who are absolutely obsessive about their love of certain artists. If I’m digging someone’s taste, I might go look at their comment history to see what else they like. I might then take any of the tunes that I find, plug them into Magic Playlist and then flip through the suggested tracks... Source: over 2 years ago
MagicList will do that for you. I can't recall if it'll make a direct connect with Apple Music or if you have to import it from Spotify using SongShift. Source: almost 3 years ago
My kids have completely fucked the algorithm listening to their shite, so I abandoned it a while back and now when I'm looking for new music I use this - you can create a new playlist based on a track you like and it'll push it straight to Spotify: https://magicplaylist.co/. Source: almost 3 years ago
3) A weekly playlist for each one. Only new songs. https://magicplaylist.co/#/pt?_k=4mkq5q (welcome). Source: about 3 years ago
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
Spotify.me - Beautiful analytics on your Spotify listening habits 🎧
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Playlist Machinery - Tools that help you create & organize your Spotify playlists
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.
Spotalike - Spotify playlist with similar songs, according to Last.fm
Clarifai - The World's AI