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Tel: +44 543 53433
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ML Open Source Development:

The framework is used for machine learning, image processing, genetic algorithms, fuzzy logic, neural networks, robotics, and more. There are more algorithms and components which can be used for the company's ML research.


OS: Windows, Linux
Scikit-learn is a machine learning project that offers Python tools to handle data mining and analysis via algorithms for classification, clustering, regression, dimensionality reduction, and more. Scikit-learn is based on SciPy, NumPy, and matplotlib.

OS: Windows, Linux, macOS
Shark is the so-called "fast, modular, feature-reich open-source C++ machine learning library" that can provide algorithms for optimization, evolutionary algorithms, basic linear algebra, and supervised and unsupervised learning.

OS: Windows, Linux, macOS
Shogun began development in 1999 and has grown into a set of machine learning tools which can support Python, R, Java/Scala, Lua, C#, Ruby, Octave, and various other programming languages. Shogun also offers a free cloud service for users to play around with the software.

OS: Windows, Linux, macOS
The Statistical Machine Intelligence and Learning Engine, or Smile, is a particularly quick machine learning option for Java, Scala, and various other JVM languages which claims to outperform Python, R, Spark, H2O, and xgboost by a significant portion.

Distributed Machine Learning Toolkit
OS: Windows, Linux
This machine learning project is a Microsoft brainchild which includes the Light LDA topic model algorithm, the DMTK Framework, the Distributed (Multisense) Word Embedding algorithm, and the LightGBM gradient boosting tree framework. There are more algorithms and components planned for this toolkit which will all be updated as the company's research progresses.

OS: Windows, Linux, macOS.
Dlib provides a quick method of working within several C++ machine learning libraries. There are a host of features including algorithms for multiclass classification, regression, binary classification, clustering, deep learning, unsupervised learning, semi-supervised/metric learning, feature selection, and reinforcement learning. It also provides anthropometric data such as facial landmarks and features which are widely used in robotics to enhance human interaction.

OS: Windows, Linux, macOS
Encog is the brainchild of data scientist Jeff Heaton, a machine learning framework which has been developing in an ongoing fashion since 2008. Encog supports neural and Bayesian networks, hidden Markov models, support vector engines, and genetic programming and algorithms.

OS: Windows,Linux,macOS
Opencv is a widely used computer vision library written originally in C++. It also has its python bindings which increases its value globally and exponentially. Opencv implements complex machine learning algorithms for object detection and recognition. Machine learning is playing a vital role in boosting computer graphics.

OS: Linux, macOS
GoLearn is a simple and easily customizable "batteries included" machine learning library that operates with the Go programming language.

OS: Windows, Linux, macOS
SystemML is an important Apache project which was originally part of IBM. SystemML integrates with Spark and describes itself as "an optimal workplace for machine learning using big data".

OS: Windows, Linux, macOS, Android
Google Brain employees created TensorFlow for internal company use but it is now one of the most well-known machine learning platforms, particularly in the open-source sphere. There will soon be a cloud-based version of TensorFlow offered to researchers for free. Tensorflow is a torch bearer of modern era machine learning.

OS: Linux, macOS
Torch is a scientific computing framework widely used in building intelligent solutions and machine learning models. It is based on LuaJIT and includes GPU support, linear algebra routines, and a powerful N-dimensional array.

OS: Windows, Linux, macOS
WEKA is a Java-based system that offers various machine learning algorithms primarily for use in data mining. WEKA was developed in New Zealand at the University of Waikato and named for a native bird which is known for its inquisitive nature.

OS: Windows, Linux, macOS
The Apache Software Foundation sponsors the Mahout machine learning project, allowing them to offer a framework and programming environment that  can create scalable machine learning applications. Mahout comes with premade algorithms and Samsara, its vector math experimentation environment.

OS: Windows, Linux, macOS
MLib functions as a helpful machine learning library which offers super-fast performance relative to competitors like MapReduce. MLib comes equipped with algorithms for classification, regression, clustering, pattern mining, decision trees, recommendation, topic modeling, and much more.

OS: Windows, Linux, macOS
“Pattern" is based on Python and provides various tools for natural language processing, data mining, network analysis, machine learning, and visualization. The Pattern framework is particularly helpful for use in web mining applications.

OS: Windows, Linux
Prophet was developed and put in place by Facebook. It can be implemented in Python or R and is a completely automatic, quick, accurate, and tunable way to forecast time series data.

Oryx 2
OS: Windows, Linux, macOS
Oryx 2 is a Cloudera creation based on Kafka and Apache Spark which implements lambda architecture for machine learning.

OS: Windows, Linux, macOS
PredictionIO is a machine-learning server that is currently an Apache incubating project. It can integrate with various other open-source tools such as MLib, HBase, Spray, Spark, and Elasticsearch, and comes with customizable templates and real-time query response. It can also helpfully ingest data from multiple platforms.

OS: Linux
Scalable Advanced Massive Online Analysis, or SAMOA, is an Apache incubating projects and machine learning framework for use with distributed streaming applications.

Accord.NET Framework
OS: Windows
Accord.NET is based on technologies from Microsoft, including various sample applications and a broad body of documentation to make it easy for developers to create production-grade computer audition and vision, signal processing, and statistics applications. Microsoft is on a verge of achieving maximum machine learning potential through its commercially available frameworks. Operating System: Windows.

AForge.NET Framework
OS: Windows
AForge.NET is a helpful C# framework that was designed for use with computer vision and AI applications. It helpfully comprises various libraries and sample applications to make it easy to work with. The framework is used for machine learning, image processing, genetic algorithms, fuzzy logic, neural networks, robotics, and more.

OS: Windows, Linux, macOS
Airbnb created this machine learning package that's expressly "built for humans" to assist with offering dynamic pricing recommendations for hosts. Aerosolve is based on Java and works particularly well with variables related to geography.

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