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