It is predicted that the demand for AI platforms will grow in the coming years as it continues to revolutionize our society. Many different open-source programs are available for developers and companies to create their own AI platforms. To discover some of the top platforms to choose from for 2022, we’ve compiled this list of the 10 Best Open Source Artificial Intelligence Software for 2022
As was already said, AI software can take many forms, including datasets, algorithms, user interfaces (UI), or any combination of the three. The best 10 open-source AI algorithm libraries you can use to create software applications are highlighted in this roundup (alphabetized), including famous AI use cases like computer vision, object classification, character recognition, speech-to-text, and more.
This list, which was compiled using publicly accessible data, may contain websites for medium- to large-sized businesses. Readers are inspired to do their final research to ensure it fits their organization’s needs the best.
10 Best open source artificial intelligence software:
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TensorFlow
Google’s TensorFlow is well-known in the world of open source artificial intelligence software. In 2011, the Google Brain Team started as an internal project based on deep learning neural networks. As the company started using the technology differently, it decided in 2015 to make TensorFlow open source. Several of the most popular open-source AI frameworks on the market today are built on TensorFlow, which has a large, active community worldwide and many learning resources.
ClearML
Allegro AI, which makes open-source tools for data scientists and machine learning labs, just changed its name to ClearML. In addition to the rebranding, ClearML also unveiled a free hosted plan that would allow data scientists to coordinate workloads and manage AI/ML studies without spending money on extra resources. ClearML can be used as a solution for MLOps, and it’s ready to go with just two lines of code.
Acumos AI
Acumos is a relatively new player in the open source artificial intelligence software market. It was founded in 2019, but AT&T and TechMahindra, two leaders in the field, are behind it. The two businesses intended to break the trend of open-source advances led by IT behemoths like Microsoft, Google, and Apple and make AI usable for commercial applications. This is how they unveiled Acumos AI, a Linux-based design studio that aided in developing cloud-based AI applications and integrating other frameworks.
H2O.ai
Since its founding in 2012, H2O has been at the forefront of open source artificial intelligence software development. The firm develops large-scale AI and ML technologies in collaboration with industry heavyweights like NVIDIA, IBM, Intel, and Google, among others. The company was recently approved by the Infocomm Media Development Authority (IMDA) of Singapore. This strengthens its global presence and allows Singapore’s public sector organizations to benefit from H2O.
Mycroft.ai
Mycroft is a voice assistant that you can run in any ecosystem because it is open-source. Over the years, the company has won several awards, and big companies like Jaguar Landrover have invested money. Mycroft uses open-source artificial intelligence software technology to power different parts of the voice stack. A big group of users, developers, and translators work together to make AI algorithms better all the time.
OpenCV
OpenCV, “Open Source Computer Vision Library,” is a large collection of artificial intelligence (AI) algorithms designed to help computer vision work in real time. It was made as part of a research project by Intel in 1999 when AI was starting. It was seized over by a non-profit foundation in 2012, which now runs the community, user support, and developer assistance. In 2020, an “OpenCV AI Kit” campaign was started to raise money for new hardware modules.
OpenNMS
OpenNMS is a free library of AI software that can be used to build neural networks and machine learning (ML). Its main uses are customer intelligence and analytics specific to an industry, including its predictive uses. Artelnics is the company building and maintaining OpenNMS. It is known for its groundbreaking work in AI and big data. Unlike some of the other open-source software on this list, OpenNN does not focus on computer vision or natural language processing.
PyTorch
PyTorch builds on the torch framework for ML based on the programming language Lua. In 2016, Facebook’s AI research lab released PyTorch as an open-source Python interface for making AI/ML apps. PyTorch also has a C++ interface that you can use. Today, PyTorch has grown into a full ecosystem with all the tools you need to speed up AI development from research to production.
Open Source Rasa
Rasa is a popular piece of open-source AI software that is used to make conversational interfaces. The company makes most of its money from its enterprise product, but it also has a powerful open-source version and a separate set of tools for improving AI help. You can use Rasa to build your ML models or its library of TensorFlow models already built. Rasa Enterprise adds security based on Single Sign-On (SSO), service level agreements, and dedicated support to the open-source platform.
The OCR Tesseract
Tesseract is an engine for optical character recognition (OCR). Hewlett-Packard created it in the 1980s as a proprietary technology. It is known as one of the most accurate OCR engines out there, and Google helped launch it as an open-source AI program in 2006. Its main use is to process unstructured data and pull text from images. This is done entirely through a command line interface.