TensorFlow TensorFlow is an open-source machine learning framework developed by Google. It allows developers to build and train machine learning models for a variety of applications, including image and speech recognition, natural language processing, and predictive analytics.
Keras Keras is a high-level neural network library written in Python. It provides a simple and easy-to-use interface for building and training deep learning models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Scikit-learn Scikit-learn is a Python library for machine learning built on top of NumPy and SciPy. It provides a variety of tools for classification, regression, clustering, and dimensionality reduction, as well as data preprocessing and model selection.
Apache Mahout Apache Mahout is a distributed machine learning framework that provides a variety of algorithms for clustering, classification, and collaborative filtering. It is designed to scale to large datasets and can be run on top of Hadoop or Spark.
OpenCV OpenCV (Open Source Computer Vision) is a library of computer vision algorithms and tools. It provides a variety of functions for image and video processing, including feature detection, object recognition, and optical flow.
Caffe Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center. It is optimized for image classification and can be used to train convolutional neural networks (CNNs) on large datasets.
H2O.ai H2O.ai is an open-source machine learning platform that provides a variety of algorithms for regression, classification, and clustering. It is designed to be easy to use and can be run on top of Hadoop or Spark.
PyTorch PyTorch is an open-source machine learning library developed by Facebook. It allows developers to build and train neural networks for a variety of applications, including natural language processing and computer vision.
Theano Theano is a Python library for numerical computation that can be used to build and train neural networks. It provides a variety of optimization techniques for improving the performance of deep learning models.
Google Cloud AI Platform Google Cloud AI Platform is a cloud-based machine learning platform that allows developers to build, train, and deploy machine learning models at scale. It provides a variety of tools for data preprocessing, model training, and model deployment.
These are just a few of the many free AI tools available. Each tool has its strengths and weaknesses, and the choice of tool will depend on the specific application and the expertise of the user.
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