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Open-Source Artificial Intelligence Tools

Open-Source Artificial Intelligence Tools

Artificial Intelligence is an area of computer science that emphasizes the creation of machines that can work and react like humans. As of now, Artificial Intelligence software is one of the best technologies where companies like IBM, Google, Microsoft, Facebook, and Amazon are investing heavily in their own research and development. Even startups have made progress in areas like machine learning, neural networks, natural language, and image processing. So, Artificial Intelligence will make a positive impact on society in the upcoming years. Below are the Open-source artificial intelligence tools.


The Best AI Development Tools, Frameworks for 2020

The Caffe mostly focusses on convolutional networks for computer vision applications. It is a solid and popular choice for computer vision-related tasks and can be downloaded as many successful models that are made by Caffe users from the Caffe Model Zoo for out of the box use. According to its website, it can process more than 60 million images in a single day using just one NVIDIA K40 GPU.

Apache Mahout

A distributed linear Algebra framework and mathematically expressive Scala DSL. This software was designed for mathematicians, data scientists quickly implement their own algorithms. Apache Spark is recommended as out of box distributed backend or can be extended to other distributed backends.

Deep Learning 4j

Deep Learning4j is a deep learning library for the Java Virtual machine which runs in distributed environments and also integrates with both Hadoop and Apache Spark. Even the tool makes it possible to configure the deep neural networks and it is compatible with java, Scala, and other JVM languages.


Explore Deep Learning: A TensorFlow Python Tutorial | Toptal

TensorFlow is best in the Artificial Intelligence software library that is originally developed by researchers and engineers who were working on the Google Brain Team. So, TensorFlow is used for numerical computation using data flow graphs.  TensorFlow provides multiple APIs whereas the TensorFlow core provides you with complete programming control whereas the higher-level APIs make repetitive tasks easier and more consistent between different users.  The high-level API like the tf. estimator will help in managing data sets, estimators, training, and inference.

The above-mentioned tools are used as the Artificial Intelligence software which can benefit us in many ways in the upcoming years. Hope that I have covered all the topics in my article about open source Artificial Intelligence tools. Thanks for reading!


Hi, this is Vyasa. I have experience in working in quite a lot of industries and over the years whatever experience I have gained, I share it here. I hope that you would enjoy your time reading all the contents that are being shared by me here. Have a pleasant time here.

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