📊 Data Science Tools
Tools and platforms for data analysis and scientific computation.
The best Data Science Tools based on votes, our collection of reviews, verified products and a total of 719 factors
Top Data Science Tools
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/conjecture-alternatives
Conjecture is a framework for building machine learning models in Hadoop using the Scalding DSL.
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/clj-ml-alternatives
clj-ml is a machine learning library for Clojure.
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/mldb-alternatives
MLDB is an open-source database designed for machine learning that can be install in any device and send commands over a RESTful API to store data.
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/vowpal-wabbit-alternatives
Vowpal Wabbit is a machine learning system that pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
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/recommender-alternatives
Recommender is C library for product recommendations/suggestions using collaborative filtering (CF)
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/jruby-mahout-alternatives
JRuby Mahout is a gem that enables users to use Apache Mahout in their Ruby projects.
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/rapaio-alternatives
rapaio is a statistics, data mining and machine learning toolbox.
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/oryx-2-alternatives
Oryx 2 is a realization of the lambda architecture with real-time large scale machine learning.
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/bayesian-bandit-js-alternatives
bayesian-bandit.js is an adaptation of the Bayesian Bandit code, the code has been rewritten to be more idiomatic and also usable as a browser script or npm package and includes unit test.
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/oblique-tree-alternatives
Data Science and Machine Learning
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/krhebbian-algorithm-alternatives
KRHebbian implemented Hebbian algorithm that is a non-supervisor of self-organization algorithm of Machine Learning
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/pyhsmm-alternatives
pyhsmm is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions.
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/shaman-alternatives
shaman is a Machine Learning library for node.js