Machine Learning Weekly
A hand-picked newsletter in machine learning & deep learning subtitle
Not approved
Machine Learning Weekly Alternatives
The best Machine Learning Weekly alternatives based on verified products, community votes, reviews and other factors.
Latest update:
-
/lobe-alternatives
Visual tool for building custom deep learning models
-
/amazon-machine-learning-alternatives
Machine learning made easy for developers of any skill level
-
Try for free
NEURONwriter is an AI-powered tool for writing and optimizing content for SEO. With a user-friendly interface and advanced content editor, it is designed to help you quickly write and optimize high-quality SEO-friendly content.
-
/machine-learning-playground-alternatives
Breathtaking visuals for learning ML techniques.
-
/teachable-machine-alternatives
Easily create machine learning models for your apps, no coding required.
-
/apple-machine-learning-journal-alternatives
A blog written by Apple engineers
-
/tensorflow-alternatives
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.
-
/roboflow-universe-alternatives
You no longer need to collect and label images or train a ML model to add computer vision to your project.
-
/rohr-kreuz-01-alternatives
Tayo-Software and Studio Raphaël Lutz collaborated on a unique piece of artwork to illustrate the source code, values, and know-how of Tayo.
-
/tensorflow-lite-alternatives
Low-latency inference of on-device ML models
-
/amo-daily-art-inspiration-alternatives
Travel back in time to learn more about outstanding artworks
-
/teachable-alternatives
Create and sell beautiful online courses with the platform used by the best online entrepreneurs to sell $100m+ to over 4 million students worldwide.
-
/altamira-alternatives
Altamira is a communal marketplace for art, artists, and their fans...
-
/quickai-alternatives
Quickly experiment with state-of-the-art ML models