Scikit-learn
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
- Open Source
Scikit-learn Alternatives [Page 3]
The best Scikit-learn alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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Pylearn2 is a library for machine learning research.
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MLKit is a simple machine learning framework written in Swift.
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Get proxy servers featuring IPv4, HTTP/HTTPs, and SOCKS4/5 protocols. Choose from static and rotating IP addresses. ProxyCompass is here to support your business around the clock.
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Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
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Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.
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HLearn is a high performance machine learning library written in Haskell.
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
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A public API for quantitative finance made with Quantlib
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spaCy is a library for advanced natural language processing in Python and Cython.
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python-recsys is a python library for implementing a recommender system.
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QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.
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Your algorithmic investing platform