Chainer, a deep learning framework, and its extension libraries
Chainer™ is a Python-based deep learning framework developed and provided by PFN. First open-sourced in June 2015, Chainer has supported PFN’s growth as its deep learning research and development platform. Chainer was the first to adopt the define-by-run approach that allows developers to build complex neural networks in intuitive and flexible ways. The define-by-run approach has gained wide support from research and development communities and is now standard in PyTorch and other deep learning frameworks.
Chainer moved into a maintenance phase in December 2019 with the last v7 update. Currently, PFN is closely collaborating with the PyTorch community to migrate Chainer’s key elements and features to PyTorch.
Flexible: Flexibility to express complex models
Intuitive: Rapid prototyping and refinement support
Powerful: Powerful execution speed
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Deep reinforcement learning library
Deep Reinforcement Learning Library for PyTorch Users