10 Popular AI Frameworks And Libraries

There are several popular AI frameworks and libraries available today that are used for various tasks in artificial intelligence and machine learning. Some of the most commonly used AI frameworks and libraries are:

1. TensorFlow: TensorFlow is an open-source machine learning framework developed by Google. It is widely used for creating and training deep learning models for a variety of applications such as image recognition, natural language processing, and more.
2. PyTorch: PyTorch is an open-source machine learning framework developed by Facebook. It is known for its ease of use and flexibility and is widely used for creating and training deep learning models.
3. Keras: Keras is a high-level neural network API written in Python. It is designed to be user-friendly, modular, and extensible and is often used for building and training neural networks for a variety of applications.
4. Scikit-learn: Scikit-learn is a popular machine learning library for Python. It provides a range of supervised and unsupervised learning algorithms and tools for data preprocessing, model selection, and evaluation.
5. Theano: Theano is a Python library for numerical computation that can be used for building and training deep learning models. It provides high-level abstractions for defining mathematical expressions and can run on both CPUs and GPUs.
6. Caffe: Caffe is a deep learning framework developed by Berkeley Vision and Learning Center. It is widely used for computer vision applications such as image classification, object detection, and segmentation.
7. MXNet: MXNet is an open-source deep learning framework developed by Apache. It is designed for distributed training and can run on a variety of platforms, including GPUs and CPUs.
8. Torch: Torch is an open-source machine learning library that provides a range of tools for building and training neural networks. It is known for its flexibility and is often used for natural language processing and computer vision applications.
9. Hugging Face Transformers: Hugging Face Transformers is a library for natural language processing tasks such as text classification, question answering, and language generation. It provides a range of pre-trained models that can be fine-tuned for specific tasks.
10. OpenCV: OpenCV is a computer vision library that provides tools for image processing, feature detection, and object recognition. It is widely used for applications such as surveillance, robotics, and augmented reality.