Artificial intelligence has been making footprints in the tech world for quite some time now. The technology has been evolving rapidly and has been employed in various applications across several industries. AI technology has grown in popularity, and today it is a tool that is accessible to anyone. In this article, we will take a look at seven AI tools that are 100% free and available to use.
TensorFlow is an open-source machine learning framework that is widely used by data scientists and developers. It was created by Google and is one of the most popular machine-learning tools available today.
Tensorflow allows developers to build and train neural networks, including deep learning models and supports several programming languages such as Python, C++, and Java. With Tensorflow, developers can build powerful AI applications for a wide range of use cases.
PyTorch is another open-source machine learning framework used by researchers and developers worldwide.
PyTorch is known for its ease of use and flexibility, making it an excellent choice for beginners and experienced developers alike. It is primarily used for developing deep learning models and is supported by several programming languages, including Python and C++.
OpenAI Gym
OpenAI Gym OpenAI Gym is a toolkit designed for developing and comparing underpinning learning algorithms.
It includes a range of environments to test and evaluate AI algorithms, making it an excellent tool for researchers and developers. OpenAI Gym is open-source and can be used in conjunction with a range of popular machine-learning frameworks such as Tensorflow and PyTorch.
Scikit-Learn is an open-source machine-learning library that is widely used in industry and academia. It provides simple and efficient tools for data mining and data analysis and is particularly useful for developing predictive models. Scikit-Learn supports several supervised and unsupervised learning algorithms and is compatible with other popular machine-learning libraries such as TensorFlow and PyTorch.
Apache Mahout is an open-source machine learning framework that is designed to scale machine learning algorithms. It provides a set of algorithms for data mining and clustering and is primarily used for developing recommender systems. Apache Mahout is compatible with Hadoop, making it a great tool for processing large datasets.
Weka is an open-source machine learning toolkit that is designed to be user-friendly and accessible to all. It provides a range of tools for data pre-processing, classification, regression, clustering, and visualization. Weka supports a wide range of machine-learning algorithms and can be used for both research and practical applications.
H2O.ai is an open-source machine learning platform designed to make it easy for developers to build and deploy AI applications. It includes a range of tools for data pre-processing, model training, and deployment and supports several popular machine learning frameworks such as Tensorflow and PyTorch. H2O.ai is particularly useful for developing predictive models and is widely used in industry and academia.
In short, these seven AI tools are just some of the many free and open-source machine learning tools available today. These tools provide a range of powerful features for data analysis, model development, and deployment, making them essential for anyone interested in AI technology. Whether you are a beginner or an experienced developer, these tools are an excellent way to get started with AI and explore the exciting possibilities that the technology offers.
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