Top Open Source Artificial Intelligence Tools for Linux. In this post, we shall cover a few of the top, open source artificial intelligence AI tools for the Linux ecosystem. Currently, AI is one of the ever advancing fields in science and technology, with a major focus geared towards building software and hardware to solve every day life challenges in areas such as health care, education, security, manufacturing, banking and so much more. Suggested Read 2. Angry Birds Rio Transformation Pack A4tech on this page. Free Open Source Softwares I Found in Year 2. Weve compiled a list of the best free and open source CRM software programs on the market Capterra helps businesses find and compare software. Mixxx-20141215.png' alt='Best Open Source Recording Software' title='Best Open Source Recording Software' />Screen recording can be really useful to make a video about some problem you are facing on your computer, or to make a tutorial if you have a solution for another. Sound Recorder Software. All Sound Recorder Vista is best Sound Recorder software. It has HD quality like cd wav recording capability, recordings input use 8000. Lets try and hit 1,000 LIKES LIKE FAVORITE OPEN THE DESCRIPTION Watch the Top 5 best FREE Screen Recording Software and learn what are. Thanks to containers and microservices, the way we are building software is changing. But you probably still want to know who built a given container and. About. Open Source Windows is a simple list of the best free and open source software for Windows. We arent trying to be a comprehensive listing of every opensource. Here is a list of 9 best open source accounting software. All these free accounting software come with lots of features. These include web based accounting and ERP. Below is a list of a number of platforms designed and developed for supporting AI, that you can utilize on Linux and possibly many other operating systems. Remember this list is not arranged in any specific order of interest. Deep Learning For Java Deeplearning. Deeplearning. 4j is a commercial grade, open source, plug and play, distributed deep learning library for Java and Scala programming languages. Its designed specifically for business related application, and integrated with Hadoop and Spark on top of distributed CPUs and GPUs. DL4. J is released under the Apache 2. GPU support for scaling on AWS and is adapted for micro service architecture. Deeplearning. 4j Deep Learning for Java. Visit Homepage http deeplearning. Caffe Deep Learning Framework. Caffe is a modular and expressive deep learning framework based on speed. It is released under the BSD 2 Clause license, and its already supporting several community projects in areas such as research, startup prototypes, industrial applications in fields such as vision, speech and multimedia. Caffe Deep Learning Framework. Visit Homepage http caffe. H2. 0 Distributed Machine Learning Framework. H2. 0 is an open source, fast, scalable and distributed machine learning framework, plus the assortment of algorithms equipped on the framework. It supports smarter application such as deep learning, gradient boosting, random forests, generalized linear modeling I. Elastic Net and many more. It is a businesses oriented artificial intelligence tool for decision making from data, it enables users to draw insights from their data using faster and better predictive modeling. H2. O Distributed Machine Learning Framework. Visit Homepage http www. MLlib Machine Learning Library. MLlib is an open source, easy to use and high performance machine learning library developed as part of Apache Spark. It is essentially easy to deploy and can run on existing Hadoop clusters and data. Suggested Read 1. Best Open Source Text Editors GUI CLI I Found in 2. MLlib also ships in with an collection of algorithms for classification, regression, recommendation, clustering, survival analysis and so much more. Importantly, it can be used in Python, Java, Scala and R programming languages. MLlib Machine Learning Library. Visit Homepage https spark. Apache Mahout. Mahout is an open source framework designed for building scalable machine learning applications, it has three prominent features listed below Provides simple and extensible programming workplace. Offers a variety of prepackaged algorithms for Scala Apache Spark, H2. Apache Flink. Includes Samaras, a vector math experimentation workplace with R like syntax. Apache Mahout. Visit Homepage http mahout. Open Neural Networks Library Open. NNOpen. NN is also an open source class library written in C for deep learning, it is used to instigate neural networks. However, it is only optimal for experienced C programmers and persons with tremendous machine learning skills. Its characterized of a deep architecture and high performance. Open. NN Open Neural Networks Library. Visit Homepage http www. Oryx 2. Oryx 2 is a continuation of the initial Oryx project, its developed on Apache Spark and Apache Kafka as a re architecting of the lambda architecture, although dedicated towards achieving real time machine learning. It is a platform for application development and ships in with certain applications as well for collaborative filtering, classification, regression and clustering purposes. Oryx. 2 Re architecting Lambda Architecture. Visit Homepage http oryx. Open. Cyc. Open. Cyc is an open source portal to the largest and most comprehensive general knowledge base and commonsense reasoning engine of the world. It includes a large number of Cyc terms arranged in a precisely designed onology for application in areas such as Rich domain modeling. Domain specific expert systems. Text understanding. Semantic data integration as well as AI games plus many more. Open. Cyc. Visit Homepage http www. Apache System. MLSystem. ML is open source artificial intelligence platform for machine learning ideal for big data. Its main features are runs on R and Python like syntax, focused on big data and designed specifically for high level math. How it works is well explained on the homepage, including a video demonstration for clear illustration. Suggested Read 1. Best IDEs for CC Programming or Source Code Editors on Linux. There are several ways to use it including Apache Spark, Apache Hadoop, Jupyter and Apache Zeppelin. Some of its notable use cases include automotives, airport traffic and social banking. Apache System. ML Machine Learning Platform. Visit Homepage http systemml. Nu. PICNu. PIC is an open source framework for machine learning that is based on Heirarchical Temporary Memory HTM, a neocortex theory. The HTM program integrated in Nu. PIC is implemented for analyzing real time streaming data, where it learns time based patterns existing in data, predicts the imminent values as well as reveals any irregularities. Its notable features include Continuous online learning. Temporal and spatial patterns. Real time streaming data. Prediction and modeling. Powerful anomaly detection. Hierarchical temporal memory. Nu. PIC Machine Intelligence. Visit Homepage http numenta. With the rise and ever advancing research in AI, we are bound to witness more tools spring up to help make this area of technology a success especially for solving daily scientific challenges along with educational purposes. Are you interested in AI, what is your say Offer us your thoughts, suggestions or any productive feedback about the subject matter via the comment section below and we shall be delighted to know more from your.