Keras
5.7#28 in deep learning softwareLinuxmacOSWindows
Visit| Fact | Keras | Lightning AI Studios |
|---|---|---|
| Data integrations | Keras models can use NumPy arrays, Pandas dataframes, TensorFlow tf.data datasets, PyTorch DataLoaders, and Keras PyDataset objects. | Data connections support AWS S3, Google Cloud Storage, Cloudflare R2, AWS EFS and Snowflake. |
| Founded | 2015 | Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai. |
| Intended users | Keras describes its audience as machine learning engineers and presents guides and examples for model development across common ML use cases. | The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. |
| Purpose | Keras is a Python deep learning API designed to make model development concise, readable, and easier to debug. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
No prices published.
Keras suits machine learning engineers building and iterating on models in Python. Its guides and examples cover common machine learning use cases.
The Free plan is described for students, researchers and hobbyists. Pro is aimed at developers, researchers and scientists, while Teams is described for research labs and small teams.