MXNet is a scalable and efficient Python library for deep learning. It provides a flexible platform for building and training deep learning models. It’s known for its speed and scalability.

FastAI is a deep-learning Python library providing users with high-level components for modern deep-learning applications. Built on top of PyTorch, it aims to make deep learning more accessible by ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Builds deep learning and machine learning models. Activation and cost functions. 7. PyTorch. One more option for an open-source machine learning Python library is PyTorch, which is based on Torch, a C ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Pyqlearning is a Python library to implement RL, especially for Q-Learning and multi-agent Deep Q-Network. This library makes it possible to design the information search algorithm such as the Game AI ...

PathML is a Python library for performing deep learning image analysis on whole-slide images (WSIs), including deep tissue, artefact, and background filtering, tile extraction, model inference, model ...

HydroNetwork is a user-friendly Python library designed to empower hydrologists in leveraging deep learning techniques for modeling complex hydrological processes such as precipitation, runoff, ...

Another one of the most popular Python libraries for deep learning is Pytorch, which is an open-source library created by Facebook’s AI research team in 2016. The name of the library is derived from ...