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Keras might be a bit more popular than Spotalike. We know about 31 links to it since March 2021 and only 23 links to Spotalike. 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.
I'll also use spotalike.com, and tunebat.com. Source: about 1 year ago
Spotilike: basically the same thing as is built into the Spotify desktop app. Source: about 1 year ago
-Expand your music taste, put stuff into spotalike and find new songs. Source: over 1 year ago
Https://spotalike.com/ paste in a song. And it will give similiar results. Source: over 1 year ago
Https://spotalike.com - create Spotify playlists based on your favorite songs. Source: almost 2 years ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 month ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / about 2 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
Spotify.me - Beautiful analytics on your Spotify listening habits 🎧
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Magic Playlist - Get the playlist of your dreams based on a song
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
The Eternal Jukebox - For when your favorite song just isn't long enough
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.