donghaW

arcface-pytorch

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

BERT-pytorch

Google AI 2018 BERT pytorch implementation

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

deeplearning-models

A collection of various deep learning architectures, models, and tips

DISTORT-AND-RECOVER-CVPR18

Code for "Distort-and-Recover: Color Enhancement with Deep Reinforcement Learning", CVPR18

DnCNN-PyTorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

DnCNN-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

donghaW/tf-vqvae

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

donghaW/kaggle

donghaW/tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

donghaW/tensorflow-MNIST-GAN-DCGAN

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

donghaW/tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST