25 popular libraries and frameworks for building machine and deep learning applications.
Covering:
▫️ Data analysis and processing
▫️ Visualizations
▫️ Computer Vision
▫️ Natural Language Processing
▫️ Reinforcement Learning
▫️ Optimization
A mega-thread.
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(1 / 25) TensorFlow
TensorFlow is an end-to-end platform for machine learning. It has a comprehensive, flexible ecosystem of tools and libraries to build and deploy machine learning-powered applications.
(2 / 25) Keras
Keras is a highly-productive deep learning interface running on top of TensorFlow. It provides essential abstractions and building blocks for developing and shipping machine learning solutions with high iteration velocity.