There are 5 repositories under chainer topic.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
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
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)
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
End-to-End Neural Diarization
Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by 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 "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
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
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Deep metric learning methods implemented in Chainer
This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"
Various CNN models for CIFAR10 with Chainer
chainer implementation of pix2pix
Code for Adversarial Training Methods for Semi-Supervised Text Classification
Chainer implementation of Pose Proposal Networks