With the huge increase in artificial intelligence solutions, there has been a growth in the number of software tools available for developers to make use of.
Below is the list of AI tools for developers
1. Infosys Nia
Infosys Nia is an knowledge-based AI platform, developed by Infosys in 2017 to collect and aggregate organisational data from people, processes and legacy systems into a self-learning knowledge base.
2.Accord.NET Framework
Accord.NET Framework is a machine learning framework that is a combination of audio and image processing libraries written in C#.
3. H2O
H2O is an open source software tool, it’s embedded with a machine learning platform for businesses and developers.It is designed by H2O.ai and is written in Java, Python and R programming languages.
4. PredictionIO
PredictionIO consists of three core components:
PredictionIO platform - its an open source machine learning stack for building, evaluating and deploying engines with machine learning algorithms.
Event Server - Its an open source machine learning analytics layer for unifying events from multiple platforms.
Template Gallery - it has mechanism to download engine templates for different type of machine learning applications.
5. Eclipse Deeplearning4j
Eclipse Deeplearning4j is also an open-source deep-learning library for the Java Virtual Machine. It serves as a DIY tool for Java, Scala and Clojure programmers working on Hadoop and other file systems.
6. Torch
Torch is scientific computing framework, an open source machine learning library and also a script language based on the Lua programming language.
Conclusion
These tools are very handy for developers to work on ai these are mostly used tools by the developers.
Below is the list of AI tools for developers
1. Infosys Nia
Infosys Nia is an knowledge-based AI platform, developed by Infosys in 2017 to collect and aggregate organisational data from people, processes and legacy systems into a self-learning knowledge base.
2.Accord.NET Framework
Accord.NET Framework is a machine learning framework that is a combination of audio and image processing libraries written in C#.
3. H2O
H2O is an open source software tool, it’s embedded with a machine learning platform for businesses and developers.It is designed by H2O.ai and is written in Java, Python and R programming languages.
4. PredictionIO
PredictionIO consists of three core components:
PredictionIO platform - its an open source machine learning stack for building, evaluating and deploying engines with machine learning algorithms.
Event Server - Its an open source machine learning analytics layer for unifying events from multiple platforms.
Template Gallery - it has mechanism to download engine templates for different type of machine learning applications.
5. Eclipse Deeplearning4j
Eclipse Deeplearning4j is also an open-source deep-learning library for the Java Virtual Machine. It serves as a DIY tool for Java, Scala and Clojure programmers working on Hadoop and other file systems.
6. Torch
Torch is scientific computing framework, an open source machine learning library and also a script language based on the Lua programming language.
Conclusion
These tools are very handy for developers to work on ai these are mostly used tools by the developers.
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