Machine Learning Libraries

Machine learning libraries are essential tools for developers and data scientists to build and deploy machine learning models. Below is a list of some popular machine learning libraries:

• TensorFlow: An open-source machine learning framework developed by Google Brain.

  • Learn more about TensorFlow

• PyTorch: An open-source machine learning library based on the Torch library, widely used for applications such as computer vision and natural language processing.

  • Explore PyTorch

• Scikit-learn: A Python-based library for machine learning in Python which focuses on data mining and data analysis.

  • Discover Scikit-learn

• Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.

  • Read about Keras

• MXNet: A deep learning framework designed for both efficiency and flexibility.

  • Learn MXNet

These libraries provide a wide range of functionalities to help you build, train, and deploy machine learning models. Whether you are a beginner or an experienced data scientist, these libraries can be a valuable resource for your projects.