google-deepmind/sonnet
TensorFlow-based neural network library
Sonnet is for machine learning researchers and practitioners who want to build custom neural networks using TensorFlow. It provides a flexible way to define neural network components (modules) and combine them, taking raw data (like images or text) as input and producing model predictions or learned representations as output. This allows for deep customization of neural network architectures.
9,907 stars.
Use this if you are a machine learning researcher or engineer who needs to design and implement novel neural network architectures with precise control over their components and behavior within the TensorFlow 2 ecosystem.
Not ideal if you are looking for an all-in-one machine learning framework with built-in training loops, data pipelines, and high-level APIs for common model types, as Sonnet focuses specifically on neural network construction.
Stars
9,907
Forks
1,304
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 10, 2026
Commits (30d)
0
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