Comparison of Merchine Learning Libraries

Scikit-Learn (sklearn)

• Open-source machine learning library for Python
• Built on top of and integrates with commonly used libraries such as NumPy, SciPy, Matplotlib and pandas.
• For Beginner and non-neural network algorithms, relatively small data sets.

TensorFlow

• Specialized in deep learning and neural networks
• Supports languages such as Python, C/C++, Java and Javascript, and others.
• Hardware acceleration through GPUs and TPU(Tensor Processing Unit)s

PyTouch

• Deep learning software library for Python, C++ and Julia
• Neural networks with the ability to create custom models

Keras

• High-level deep learning framework that abstracts away many of the low-level details
• Reduced code complexity despite being a deep-learning framework
• A high-level interface for TensorFlow, resulting in comparatively slower computations with less complexity.