TensorFlow: A powerful framework for building and training deep learning models.

PyTorch: A flexible library with dynamic computation graphs, ideal for research.

Keras: A high-level API for fast experimentation with deep learning models.

Scikit-learn: A versatile library for traditional machine learning algorithms.

Jupyter Notebooks: An interactive environment for developing and sharing code.

Caffe: A fast and modular framework for deep learning, especially for CNNs.

CNTK: for parallel neural network