Algorithmia
MCenter
5Analytics
Spell
neptune.ai
MuleSoft Anypoint Platform
Zapier
Datadog
Magic Playlist
Spotify.me
Spotalike
Playlist Machinery
Spotify
Doppler for iPhone
SpotMenu
Spotify Taste Rewind
Algorithmia Magic PlaylistAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Magic Playlist might be a bit more popular than Algorithmia. We know about 6 links to it since March 2021 and only 5 links to Algorithmia. 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.
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
Try this site out. Itโs basically a similar to this music finder. I do encourage you to try and expand your tastes, but itโs 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 4 years ago
In regards to OPโs question, lately Iโve 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 Iโm digging someoneโs 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 4 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 5 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: about 5 years ago
3) A weekly playlist for each one. Only new songs. https://magicplaylist.co/#/pt?_k=4mkq5q (welcome). Source: about 5 years ago
MCenter - Machine Learning Operationalization
Spotify.me - Beautiful analytics on your Spotify listening habits ๐ง
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
Spotalike - Spotify playlist with similar songs, according to Last.fm
Spell - Deep Learning and AI accessible to everyone
Playlist Machinery - Tools that help you create & organize your Spotify playlists