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Chainer

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Automatic differentiation
It provides automatic differentiation APIs using the define-by-run approach, also known as dynamic computational graphs.github.com · read 11 Oct 2026
Community support
The documentation links to Chainer community Slack chat and forums.docs.chainer.org · read 11 Oct 2026
Development status
Chainer is in maintenance phase, with further development limited to bug fixes and maintenance.docs.chainer.org · read 11 Oct 2026
Extensions
ChainerRL implements deep reinforcement-learning algorithms, and ChainerCV provides tools for computer-vision neural networks.chainer.org · read 11 Oct 2026
GPU computing
Chainer supports CUDA computation and can run on multiple GPUs; CUDA support requires installing CuPy separately.chainer.org · read 11 Oct 2026
GPU support
Chainer supports CUDA computation and multi-GPU use; CUDA support requires CuPy, and cuDNN support is optional.docs.chainer.org · read 11 Oct 2026
Installation
The documentation recommends installing Chainer with pip and also describes installation from a source tarball or Git repository.docs.chainer.org · read 11 Oct 2026
Integrations
The v7 release announcement says ONNX-Chainer is integrated into Chainer and that most Chainer features, including ChainerMN, are compatible with ChainerX ndarray.chainer.org · read 11 Oct 2026
License
The GitHub repository identifies Chainer's license as the MIT License.github.com · read 11 Oct 2026
Maintenance status
Chainer is in maintenance, with further development limited to bug fixes and maintenance.docs.chainer.org · read 11 Oct 2026
Migration
The maker says it chose PyTorch as Chainer's replacement and released migration resources for users moving to PyTorch.chainer.org · read 11 Oct 2026
Model types
It supports feed-forward, convolutional, recurrent, recursive, and per-batch network architectures.chainer.org · read 11 Oct 2026
Network architectures
It supports feed-forward, convolutional, recurrent, and recursive networks, as well as per-batch architectures.chainer.org · read 11 Oct 2026
Optional capabilities
Optional dependencies enable image-dataset support, HDF5 serialization, and distributed deep learning with ChainerMN.docs.chainer.org · read 11 Oct 2026
Optional features
Image dataset support, HDF5 serialization, and distributed deep learning with ChainerMN require optional dependencies.docs.chainer.org · read 11 Oct 2026
Platform limits
The documentation recommends 64-bit Ubuntu 14.04 or 16.04 and CentOS 7, and says it cannot guarantee operation on Windows or macOS.docs.chainer.org · read 11 Oct 2026
Product
Chainer is a Python-based, standalone open-source framework for building deep-learning models.chainer.org · read 11 Oct 2026
Python control flow
Forward computation can use Python control-flow statements while retaining backpropagation, which the site says makes code intuitive and easy to debug.chainer.org · read 11 Oct 2026

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