Open-source AI is an artificial intelligence technology available to the public for business and non-commercial usage under various open-source licences. Open-source AI contains datasets, prebuilt algorithms, and ready-to-use interfaces to facilitate the development of AI applications.

However, AI tools and frameworks have made it much more accessible to the IT industry in recent years. As a result, technologies based on artificial intelligence (AI) are rapidly altering nearly every aspect of our life.

Here is a list of six intriguing open-source AI frameworks and tools for 2022.

TensorFlow

Google's open-source framework TensorFlow is a set of tools, libraries, and resources used by many well-known companies: 

• Airbnb, 
• eBay, 
• DropBox, and more. 

TensorFlow simplifies and abstracts machine learning techniques to speed development. As a result, developers and data scientists can quickly use data to create neural networks and other machine learning models with the help of visual models and flowgraphs. Airbnb, for example, uses TensorFlow to classify photos of apartments for rent to ensure they accurately show the space.

Theano

Theano is a Python library for deep learning that works well with NumPy. Its primary purpose is to define and evaluate complex mathematical expressions using relatively simple Python scripts while taking advantage of advanced computing to improve performance. Even so, Theano is considered a low-level framework, and many companies use frameworks built on top of it, like Keras or Blocks.

Amazon SageMaker Neo

Amazon recently made available as a service Amazon SageMaker Neo, a component of their machine learning platform. The recently published code for the Neo-AI project will allow AI developers to train machine learning models and execute them anywhere in the cloud. In addition, neo-AI is optimised for edge computing devices and Internet of Things (IoT) sensors that require low latency and quick predictions.

Microsoft Cognitive Toolkit

Microsoft Cognitive Toolkit (CNTK) is an open-source platform for deep learning. CNTK can be incorporated into projects as a library in various programming languages, or it can be used as a standalone machine learning tool via its model description language, BrainScript. Skype, Bing, Cortana, and other companies with enormous datasets that demand a scalable and highly efficient machine learning platform employ the commercial-grade toolset.

Scikit-learn

Scikit-learn is an open-source Python library for machine learning that focuses on data mining and analysis. It is built on top of NumPy, SciPy, and matplotlib, and it comes with a carefully chosen set of high-quality ML models for the most common uses. Scikit-learn is used by well-known companies like Spotify, J.P. Morgan, and Evernote to do data-driven tasks like predictive analysis, personalised recommendations, and more.

Keras

Keras is a high-level machine learning API compatible with TensorFlow, Microsoft Cognitive Toolkit, and Theano. Its user-friendliness and emphasis on the developer experience make Keras the tool for rapidly developing new applications. Keras has been included in the fundamental products and services of numerous companies, including Netflix, Uber, and Yelp, as well as smaller startups. As a subscription-based business, Netflix has utilised deep learning to predict client turnover, which is critical. The corporation has access to a vast quantity of consumer data. It can identify clients likely to abandon their service by offering them discounts and other incentives to stay.