Set up deep learning environment in a single command line.

A flexible framework of neural networks for deep learning

End-to-End Speech Processing Toolkit

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

Resource scheduling and cluster management for AI

Sandbox for training convolutional networks for computer vision

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

ChainerCV: a Library for Deep Learning in Computer Vision

ChainerRL is a deep reinforcement learning library built on top of Chainer.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Python library to easily log experiments and parallelize hyperparameter search for neural networks

A best practice for deep learning project template architecture.

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

DeepPose implementation in Chainer

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Object Detection with Faster R-CNN in Chainer

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

Deep metric learning methods implemented in Chainer

Various CNN models for CIFAR10 with Chainer