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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.Pricing:
- Open Source
#Data Science And Machine Learning #Data Science Tools #Software Libraries 35 social mentions
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Low-Code Data Apps
#Data Visualization #Developer Tools #App Development 33 social mentions
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.Pricing:
- Open Source
#Data Science And Machine Learning #Machine Learning #Data Science Tools 35 social mentions
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Open source deep learning platform that provides a seamless path from research prototyping to...Pricing:
- Open Source
#Data Science And Machine Learning #AI #Data Science Tools 135 social mentions
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Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.
#Data Science And Machine Learning #Data Science Tools #Application And Data 9 social mentions
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MLKit is a simple machine learning framework written in Swift.Pricing:
- Open Source
#Data Science And Machine Learning #Data Science Tools #Software Libraries
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matplotlib is a python 2D plotting library which produces publication quality figures in a variety...Pricing:
- Open Source
#Data Science And Machine Learning #Data Visualization #Technical Computing 110 social mentions
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SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.Pricing:
- Open Source
#Data Science And Machine Learning #Technical Computing #Development 17 social mentions
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#Data Science And Machine Learning #AI #Online Services 41 social mentions
Product categories
Summary
The top products on this list are Scikit-learn, Plotly, and Keras.
All products here are categorized as:
General category for applications and data management tools.
Python Tools.
One of the criteria for ordering this list is the number of mentions that products have on reliable external sources.
You can suggest additional sources through the form here.
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