htm.java
htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.
Some of the top features or benefits of htm.java are: Biologically Inspired Algorithms, Time Series Prediction, Open Source, Java Ecosystem Integration, and Real-time Analytics. You can visit the info page to learn more.
Best htm.java Alternatives & Competitors
The best htm.java alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Key Scikit-learn features:
Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.
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NumPy is the fundamental package for scientific computing with Python.
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Comprehensive Library Cross-Platform Compatibility Open Source Large Community Support
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Key Dataiku features:
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Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
Key Exploratory features:
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Key Figure Eight features:
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WEKA is a set of powerful data mining tools that run on Java.
Key WEKA features:
User-Friendly Interface Wide Range of Algorithms Open Source Extensive Documentation
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GraphLab Create is an extensible machine learning framework that enables developers and data scientists to easily build and deploy apps.
Key Turi GraphLab Create features:
Ease of Use Scalability Integrated Toolset Graph Processing Capabilities
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Logical Glue helps Lenders and Insurance organisations make better decisions with a highly intuitive and user-friendly Machine Learning Platform.
Key Logical Glue features:
Interpretability User-Friendly Interface Automated Machine Learning Regulatory Compliance
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Key DimML features:
Ease of Use Scalability Integration Customization
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Key RapidMiner features:
Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support
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DataScience combines human intellect with machine-powered analysis to create actionable insights from complex data.
Key Oracle Data Science Platform features:
Integrated Ecosystem Scalability Security Automated Machine Learning