chainer/chainer
A Python-based deep learning framework providing automatic differentiation and dynamic computational graphs for neural network training.
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Chainer is a neural network framework that uses a define-by-run approach for dynamic computational graphs, enabling flexible model definition during execution. It supports GPU acceleration via CUDA and cuDNN, automatic differentiation, and provides object-oriented high-level APIs for building and training deep learning models. The framework is now in maintenance mode with active development limited to bug fixes.
Frequently asked
- What is chainer/chainer?
- A Python-based deep learning framework providing automatic differentiation and dynamic computational graphs for neural network training.
- Is chainer open source?
- Yes — chainer/chainer is open source, released under the MIT license.
- What language is chainer written in?
- chainer/chainer is primarily written in Python.
- How popular is chainer?
- chainer/chainer has 5.9k stars on GitHub.
- Where can I find chainer?
- chainer/chainer is on GitHub at https://github.com/chainer/chainer.