MC Stan
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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MC Stan Alternatives
The best MC Stan alternatives based on verified products, community votes, reviews and other factors.
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/tensorflow-alternativesTensorFlow 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.
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/pytorch-alternativesOpen source deep learning platform that provides a seamless path from research prototyping to...
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Try for freeAirDroid Business, an enterprise-grade MDM solution, is designed to enable businesses mobility and productivity through remote access and control, device provisioning, policy application and management, kiosk mode, and geofencing.
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/scikit-learn-alternativesscikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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/keras-alternativesKeras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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/gensim-alternativesGensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.
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/nltk-alternativesNLTK is a platform for building Python programs to work with human language data.
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/fasttext-alternativesLibrary for efficient text classification and representation learning
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/mlkit-alternativesMLKit is a simple machine learning framework written in Swift.
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/spacy-alternativesspaCy is a library for advanced natural language processing in Python and Cython.
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/rasa-nlu-alternativesA set of high level APIs for building your own language parser
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/google-cloud-natural-language-api-alternativesNatural language API using Google machine learning
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/caffe2-alternativesA New Lightweight, Modular, and Scalable Deep Learning Framework
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/cuda-toolkit-alternativesSelect Target Platform Click on the green buttons that describe your target platform.
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