DeepVis Toolbox

Resources and codes about transfer learning and domain adaptation--迁移学习

caffe for transfer learning

Pytorch Implementation for ResNet, ResNeXt and DenseNet

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

Caffe code for Densely Connected Convolutional Networks (DenseNets)

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Virtual adversarial training with Tensorflow

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

KnowledgeDistillation Layer (Caffe implementation)

Speed up PixelCNN++ image generation by up to a 183 times

code for the paper "Improved Techniques for Training GANs"

Deep Learning Book Chinese Translation

Generative image model with learned similarity measures

Caffe on both Linux and Windows

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Automatic License Plate Recognition library

A torch implementation of http://arxiv.org/abs/1511.06434

Torch implementation of neural style algorithm

Tensorflow implementation of the FaceNet face recognizer

Strassen's matrix multiplication algorithm implemented in Python.

u-net for medical image segmentation

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch