nnabla
A deep learning framework for research, development, and production with flexible Python API and C++ core.
What is nnabla?
Neural Network Libraries (NNabla) is a deep learning framework developed by Sony for research, development, and production use. It provides a flexible Python API built on a C++ core, supporting both static and dynamic computation graphs, and runs on various platforms from desktops to embedded devices. The framework aims to simplify model creation, training, and deployment while maintaining high performance and extensibility.
Researchers, engineers, and developers working on deep learning projects who need a flexible framework for prototyping, experimentation, and deploying models across diverse hardware environments.
NNabla offers a clean, extensible architecture that allows easy customization and addition of new modules, combined with efficient performance via CUDA acceleration and memory optimization. Its unified API for static and dynamic graphs provides flexibility uncommon in other frameworks.
Overview
Neural Network Libraries
Use Cases
Best For
- Research and experimentation with dynamic computation graphs
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