At present, artificial intelligence is one of the evolving areas of the scientific and technological community. It focuses on building hardware and software to solve the challenges of daily life in medical , education, security, manufacturing, banking and many other fields. In this article we will introduce several top open source artificial intelligence tools for the Linux ecosystem.
Listed below are the many platforms designed to support artificial intelligence, which you can use on Linux and many other operating systems. Remember: the order of introduction is in no particular order.
1.DeepLearningForJava(Deeplearning4j)
Deeplearning4j is a commercial, open source, plug-and-play distributed deep learning library for Java and Scala programming languages. It is designed for business-related applications and is integrated with Hadoop and Spark on distributed CPUs and GPUs.
The DL4J is released under the Apache 2.0 license, which provides GPU support for scaling on AWS and for microservices architectures.
Home link: http://deeplearning4j.org/
2.Caffe
It is a modular, expressive deep learning framework that is known for its speed. It is released under the BSD2-Clause license and has supported several community projects in research, startup prototypes, and industrial applications such as vision, speed, and multimedia.
Home link: http://caffe.berkeleyvision.org/
3.H20
It is an open source, fast, and extensible distributed machine learning framework. In addition, the framework has a variety of algorithms. It supports more intelligent applications such as deep learning, gradient lifting, random forests, generalized linear modeling (such as logistic regression and elastic networks) and much more.
This is an enterprise-oriented artificial intelligence tool that uses data to make decisions, enabling users to gain insights from data using faster, more accurate predictive modeling.
Home link: http://
4.MLli
It is an open source, easy to use, high performance machine learning library developed as part of ApacheSpark. It's actually easy to deploy and can run on existing Hadoop clusters and data.
MLlib also comes with a set of algorithms for classification, regression, recommendation, clustering, survival analysis and more. Importantly, it can be used in programming languages ​​such as Python, Java, Scala, and R.
Home link: https://spark.apache.org/mllib/
5.ApacheMahout
Mahout is an open source framework design tool for building scalable machine learning applications with three main features:
Provide a simple, scalable programming environment. Provides a number of pre-packaged algorithms that support Scala+ApacheSpark, H20, and ApacheFlink. Including Samaras, this is a vector mathematics experimental work environment with a syntax similar to R.
Home link: http://mahout.apache.org/
Multi USB Port Charger
A multi-port USB Charger is a great way to charge multiple devices at once. These chargers are useful for families, work places and dorm rooms.Usually,a multi port charger with two or more inferances at the same time,it maybe Type C Charger and USB charger.
Multi USB Port Charger,Usb C Laptop Charger,Car Laptop Charger,Apple Power Adapter
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