chainer-cifar10

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Setup and customize deep learning environment in seconds.

A flexible framework of neural networks for deep learning

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Classification with PyTorch.

ChainerCV: a Library for Deep Learning in Computer Vision

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

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

A Tensorflow implementation of Spatial Transformer Networks.