Sonnet is a modular machine learning framework and TensorFlow library used for building, training, and managing deep learning models. It functions as a system for composing neural networks from reusable modules and layers that encapsulate their own parameters and internal states. The project provides specialized tools for distributed model training, enabling the synchronization of gradients across multiple hardware devices. It also serves as a model state management system, allowing for the persistence of neural network weights and the export of portable models that separate the computation g
Keras community contributions
TensorLight - A high-level framework for TensorFlow
The main features of bsautermeister/tensorlight are: Deep Learning, Deep Learning Ecosystems, Deep Learning Frameworks, Machine Learning Frameworks.
Open-source alternatives to bsautermeister/tensorlight include: google/qkeras — QKeras: a quantization deep learning library for Tensorflow Keras. maxpumperla/elephas — Distributed Deep learning with Keras & Spark. deepmind/sonnet — Sonnet is a modular machine learning framework and TensorFlow library used for building, training, and managing deep… catalyst-team/catalyst — Accelerated deep learning R&D. keras-team/keras-contrib — Keras community contributions. maxpumperla/hyperas — Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.
