Artificial Intelligence (AI) has seen a significant surge in development, thanks to the availability of numerous open-source libraries. These libraries have played a crucial role in advancing AI research and development. Below is a curated list of some of the most popular open-source AI libraries.
Popular Open Source AI Libraries
TensorFlow - An open-source machine learning framework developed by Google Brain Team. It is widely used for deep learning applications.
PyTorch - Developed by Facebook's AI Research lab, PyTorch is another popular deep learning framework known for its ease of use and dynamic computation graph.
Keras - Keras is an open-source neural network library written in Python. It is designed to enable fast prototyping of deep learning models.
Scikit-learn - Scikit-learn is a machine learning library for Python that provides simple and efficient tools for data analysis and modeling.
Caffe - Caffe is a deep learning framework made with expression, speed, and modularity in mind.
Theano - Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays.
Additional Resources
For more resources and information on AI and machine learning, visit our AI Resources page.