Open-Source AI Tools and Frameworks to Use In 2022


AI tools and frameworks have made AI use much more friendly for the IT sector in recent years.

Artificial intelligence has existed for a long time, although it was once thought to be incredibly difficult to achieve. It was typical for researchers and developers to avoid investigating or implementing it.

However, AI tools and frameworks have made it much more friendly for the IT business in recent years. Artificial intelligence (AI) is altering practically every aspect of our life at a rapid pace. From the way we communicate to the modes of transportation we utilise; we appear to be becoming increasingly reliant on them.


In the neural processing and data science sectors, Theano, an open-source Python toolkit for deep learning, is also popular. It’s well-known for making sophisticated neural networks simple to create by abstracting away the neural network components (such as the layers and hidden layers). It’s frequently used on graphics processing units (GPUs) to create and train AI models, and Facebook has used it for both training and deploying AI applications.


It’s a Google Brain-developed open-source library for dealing with large datasets and doing high-volume numerical computations. It allows developers to transmit artificial neural networks with enormous datasets after setting up and training them, and is used by major companies such as Nvidia, Google, Intel, and SAP.

For this open-source software library, the Tensorflow certificate programme combines self-paced instruction in machine learning at the foundational level with support from experienced Tensorflow programmers.


PyTorch is a Facebook-developed artificial intelligence system. Its code is available on GitHub, where it now has over 22k stars. Since 2017, it has gained a lot of momentum and has been receiving a lot of positive feedback.


Caffe is a powerful learning structure that emphasises articulation, pace, and repeatability. It is supported by the Berkeley Vision and Learning Center (BVLC) as well as network contributors. Google’s DeepDream requires the Caffe Framework. This is a Python interface to a BSD-compliant C++ library.


Keras is a high-level artificial intelligence API that may be used with TensorFlow, Microsoft Cognitive Toolkit, and Theano. Keras is the go-to for fast-developing new apps thanks to its ease of use and focus on the developer experience. Keras has been integrated into the fundamental products and services of several companies, including Netflix, Uber, and Yelp, as well as smaller startups. For example, Netflix has used deep learning to predict customer turnover, which is critical in a subscription-based organisation.

Microsoft (CNTK)

The Microsoft Cognitive Toolkit (CNTK) is an AI framework that is open-source. Through its model description language, BrainScript, CNTK can be integrated in projects as a library in several languages or used as an independent machine-learning tool.

Skype, Bing, Cortana, and other brands with large datasets that demand a scalable and highly efficient machine learning platform employ the commercial-grade toolkit.

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