Artificial Intelligence (AI) is now in trend because people are looking for some sought of technology that makes their lives more easy and valuable. Even the smartphones are shifting their focus towards Artificial Intelligence. Big companies like Google, Amazon, and Facebook are already working on it and contributing in the form of Opensource AI Tools. For example, Facebook came up with an open-source AI project called Torchnet to accelerate the AI research and in the same way, Google open-source AI project is DeepMind Lab. A Recent study at Standford University stated that the AI (report) will show it huge impact in coming years. So, today in this article we are going to show some variety of useful open-source artificial intelligence software that helps in building your AI projects.
Opensource Artificial Intelligence (AI) Tools for AI projects
Caffe was developed by Berkeley Vision and Learning Center. Caffe is a deep learning framework released under open source license and made with expression, speed, and modularity in mind. It can process 60 million images per day with a single NVIDIA K40 GPU.
Website Link: http://caffe.berkeleyvision.org/
Tensorflow is an open-source software library for numerical computation Intelligence. It performs the computation using the data flow graphs. It has a very flexible architecture that can deploy the computation using a single API on multiple CPU or GPU. IT was developed by the Google Brain Team within Google’s Machine Intelligence research.
Website Link: https://www.tensorflow.org/
Deeplearning4j means Deep Learning for Java is an open-source deep-learning library for Java Virtual Machine (JVM). It is designed to run with enterprise application such as Hadoop and Apache Spark.
Website Link: http://deeplearning4j.org/
H20: Open Source AI Platform
H20 is an open-source deep learning platform. It is an artificial intelligence tool which is business-oriented and help them to make a decision from data and enables the user to draw insights. There are two open-source versions of it: one is standard H2O and other is paid version Sparkling Water. It can be used for predictive modelling, risk and fraud analysis, insurance analytics, advertising technology, healthcare and customer intelligence.
Website Link: https://www.h2o.ai/
MLlib – Machine Learning Library
MLlib is an open-source Spark’s scalable machine learning library. It easily integrates with Hadoop and includes a host of machine learning algorithms for classification, regression, decision trees, recommendation, clustering, topic modelling, feature transformations, model evaluation, ML pipeline construction, ML persistence and survival analysis.
Website Link: http://spark.apache.org/mllib/
Mahout is an open-source machine learning framework and offers three major features: programming environment and framework for building scalable algorithms, wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink and Samsara, a vector math experimentation environment with R-like syntax which works at scale.
Website Link: http://mahout.apache.org/
Distributed Machine Learning Toolkit
It is an open-source artificial intelligence tool from Microsoft. This toolkit is designed to use in big data applications. It designed to run train AI systems faster. It consists of three key components: the DMTK framework, the LightLDA topic model algorithm, and the Distributed (Multisense) Word Embedding algorithm.
Website Link: http://www.dmtk.io/
NuPIC is an open-source artificial intelligence project based on a theory called Hierarchical Temporal Memory. Numenta is tackling one of the most important scientific challenges of all time: reverse-engineering the neocortex.
Website Link: http://numenta.com/
Open Neural Networks Library (OpenNN)
OpenNN is also an open-source class library written in C++ for deep learning, it is used to instigate neural networks. OpenNN is an open-source class library written in C++ programming language. It implements neural networks, the main area of machine learning research. It’s characterized by a deep architecture and high performance.
Website Site: http://www.opennn.net/
Oryx 2 developed on Apache Spark and Apache Kafka and initially called Oryx project. It has specialization for real-time large-scale machine learning. Also includes packaged, end-to-end applications for collaborative filtering, classification, regression and clustering.
Website Link: http://oryx.io/
OpenCyc is an open-source portal, it is basically a general knowledge base and commonsense reasoning engine of the world. It has Rich domain modelling, Domain-specific expert systems, Text understanding, Semantic data integration, AI games and more.
Website Link: http://www.cyc.com/platform/opencyc/
Apache SystemML is open-source artificial intelligence platform for machine learning ideal for big data. Its main features:
- Runs on R Python-like syntax
- Focused on big data
- Designed specifically for high-level math
Website Link: http://systemml.apache.org/
ONNX- Open Neural Network Exchange
ONNX is an open format to represent deep learning models. It helps the AI developers to easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners. It comes under the Facebook open source project and supported by Microsoft and Aws.
It also an Open Source Artificial Intelligence project that uses Raspberry Pi. For more info: https://mycroft.ai/
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