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What is Chainer?

Chainer is a flexible framework for neural networks. One of the major goals is flexibility, so it must enable us to write complex architectures simply and intuitively.

More info here

ref Chainer.wiki - Chainer Wiki

Table of Contents

Guides

Hands-on

Models/Projects

Official Add-on Packages

  • ChainerRL - ChainerRL is a deep reinforcement learning library built on top of Chainer.
  • ChainerCV - Versatile set of tools for Deep Learning based Computer Vision
  • ChainerMN - Scalable distributed deep learning with Chainer
  • ChainerUI - ChainerUI is a visualization and management tool for Chainer.

Services using Chainer

  • PaintsChainer - Paints Chainer is line drawing colorizer using chainer.

Chainer External Examples

Preferred NetWorks Research

  • chainer-LSGAN - Least Squares Generative Adversarial Network implemented in Chainer
  • chainer-gogh - Implementation of "A neural algorithm of Artistic style"
  • chainer-graph-cnn - Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)
  • chainer-segnet - SegNet implementation & experiments in Chainer
  • chainer-pix2pix - chainer implementation of pix2pix
  • chainer-ADDA - Adversarial Discriminative Domain Adaptation
  • chainer-gan-lib - Various GANs implementation
  • tgan - Temporal Generative Adversarial Nets

NLP

Computer Vision

Reinforcement Learning

Generative models

Unsupervised/Semi-supervised learning

Others

Blog posts

Tools and extensions

Videos

(in Japanese)

Papers

Official announcements

Community

Community

Global

Japan

Books

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