Chainer
Chainer, a deep learning framework, and its extension libraries
Overview
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.
Features
Chainer
Flexible: Flexibility to express complex models
Intuitive: Rapid prototyping and refinement support
Powerful: Powerful execution speed
Learn more about this project
Chainer Extensions
Providing image recognition algorithms and dataset wrappers
ChainerCV
ChainerCV – Blog
Deep reinforcement learning library
ChainerRL
Visualization and experiment management tool for Chainer
ChainerUI
ChainerUI – Blog
Graph convolutions for biology/chemistry tasks
Chainer Chemistry
Chainer Chemistry – Blog
Library for PyTorch with popular Chainer functions
pytorch-pfn-extras Migration from Chainer to PyTorch – Blog
News
