A flexible framework of neural networks for deep learning - chainer/LICENSE at master · chainer/chainer

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, …

In December 2019, Preferred Networks announced the transition of its development effort from Chainer to PyTorch and it will only provide maintenance patches after releasing v7.

It provides automatic differentiation APIs based on the define-by-run approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural …

Jan 4, 2022 · Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (a.k.a. dynamic …

Utility for describing data and experiment which makes it very easy to chain experiments together. - chainer/LICENSE at master · gnetscher/chainer

Chainer – A flexible framework of neural networks ¶ Chainer is a powerful, flexible and intuitive deep learning framework. Chainer supports CUDA computation. It only requires a few lines of …

A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under …

Flexible Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures.

Notice: As announced, Chainer is under the maintenance phase and further development will be limited to bug-fixes and maintenance only.