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Keras vs Paperspace Gradient

Keras

5.7#28 in deep learning software
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What both publish

FactKerasPaperspace Gradient
FrameworksKeras 3 runs on JAX, TensorFlow, or PyTorch, and supports OpenVINO for inference only.Paperspace says Gradient supports major machine learning frameworks and libraries.
Intended usersKeras describes its audience as machine learning engineers and presents guides and examples for model development across common ML use cases.The pricing page describes plans for beginners and individual ML/AI engineers, data scientists, researchers, teams, research groups, and startups.
PurposeKeras is a Python deep learning API designed to make model development concise, readable, and easier to debug.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.

Keras plans

No prices published.

Paperspace Gradient plans

  • Free (Individual)Free
  • Pro (Individual)$8 a month
  • Growth (Individual)$39 a month
  • Free (Team)Free
  • Pro (Team)$12 a month
  • Growth (Team)$39 a month

Pick Keras if…

Keras suits machine learning engineers building and iterating on models in Python. Its guides and examples cover common machine learning use cases.

Pick Paperspace Gradient if…

Gradient is aimed at people and teams developing or serving machine learning models, including engineers, data scientists, researchers, and startups. Its browser notebooks, collaboration features, and deployment endpoints support different stages of model work.

Charts they share