Google Cloud TPU
Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
- Open Source
Google Cloud TPU Alternatives
The best Google Cloud TPU alternatives based on verified products, community votes, reviews and other factors.
Latest update:
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
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B2B SaaS: Make your app enterprise-ready!
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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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Real-time personalization and recommendation engine in AWS
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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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BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
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python-recsys is a python library for implementing a recommender system.
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Obtains details of a cached recommendation.
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Train custom ML models with minimum effort and expertise
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Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
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WEKA is a set of powerful data mining tools that run on Java.
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GoLearn is a machine learning library for Go that implements the scikit-learn interface of Fit/Predict.
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XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
