OpenNN - The High-Performance Neural Networks Library for Advanced Analytics

Overview:

       OpenNN is an open-source class library written in C++ that implements neural networks, a key area of machine learning research. It is designed to solve many real-world applications in various sectors such as energy, marketing, health, and more. OpenNN stands out for its high performance, offering faster training times and the ability to manage larger data sets compared to other libraries.

Users:

       OpenNN is used by a diverse group of users, including data scientists, AI researchers, ML practitioners, and developers across various industries. It is also being developed by Artelnics, a consulting company specialized in artificial intelligence and big data.

Goal:

       The primary goal of OpenNN is to provide a high-performance platform for advanced analytics. It is developed in C++ for better memory management and higher processing speed, and implements CPU parallelization by means of OpenMP and GPU acceleration with CUDA.

Uses and Features:

1. Neural Networks Implementation: OpenNN implements neural networks, the most successful machine learning method.
2. Advanced Analytics: OpenNN is a free neural networks library for advanced analytics.
3. Real-World Applications: It solves many real-world applications in energy, marketing, health, and more.
4. High Performance: OpenNN stands out for its high performance, offering faster training times and the ability to manage larger data sets compared to other libraries.
5. Cross-Platform Compatibility: OpenNN has been written in ANSI C++, which means that the library can be built on any system with little effort.

How it Works:

1. Building the Model: OpenNN allows users to build neural network models using its class library.
2. Training the Model: OpenNN trains models faster than other libraries, boosting productivity.
3. Implementing the Model: Once trained, the models can be implemented to solve predictive analytics tasks in different fields.
4. Performance Optimization: OpenNN is developed in C++ for better memory management and higher processing speed.
5. Parallelization and Acceleration: OpenNN implements CPU parallelization by means of OpenMP and GPU acceleration with CUDA for increased performance.

Customer Companies Statistics:

1. Artelnics: A consulting company specialized in artificial intelligence and big data. The team carries out projects with enterprise customers to get the best results from their data.
2. Neural Designer: A software tool that helps people build neural network models without the need for programming. It is developed from OpenNN and contains a user interface that simplifies data entry and interpretation of results.
3. Other Companies: According to a third-party source, there are data on 7 companies that use OpenNN.