Keras
Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. subtitle
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Keras Alternatives [Page 3]
The best Keras alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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/pycaret-alternatives
open source, low-code machine learning library in Python
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/matplotlib-alternatives
matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
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/shark-alternatives
See sharks everywhere with this AR app 🦈
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/theano-alternatives
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy – Use numpy.
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/chainer-alternatives
Chainer is a flexible and intuitive framework for Neural Networks.
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/fasttext-alternatives
Library for efficient text classification and representation learning
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/braincore-alternatives
BrainCore is a simple but fast neural network framework written in Swift.
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/mc-stan-alternatives
Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences.
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/swift-ai-alternatives
Artificial intelligence and machine learning library written in Swift.
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/simplecv-alternatives
SimpleCV is an open source framework for building computer vision applications.
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/weka-alternatives
WEKA is a set of powerful data mining tools that run on Java.
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/mocha-alternatives
Sponsors. Use Mocha at Work? Ask your manager or marketing team if they'd help support our project. Your company's logo will also be displayed on npmjs. com and our GitHub repository.
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/fuzzywuzzy-alternatives
FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.