There are 2 repositories under chainer topic.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
End-to-End Speech Processing Toolkit
Setup and customize deep learning environment in seconds.
A flexible framework of neural networks for deep learning
Sandbox for training deep learning networks
Resource scheduling and cluster management for AI
ChainerCV: a Library for Deep Learning in Computer Vision
ChainerRL is a deep reinforcement learning library built on top of Chainer.
A best practice for deep learning project template architecture.
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
Python library to easily log experiments and parallelize hyperparameter search for neural networks
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
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
End-to-End Neural Diarization
Object Detection with Faster R-CNN in Chainer
Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
Deep metric learning methods implemented in Chainer
Various CNN models for CIFAR10 with Chainer
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
chainer implementation of pix2pix
This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"
Code for Adversarial Training Methods for Semi-Supervised Text Classification
Chainer implementation of Pose Proposal Networks
Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"