Huan Wang

个人信息
地址
Hangzhou, China
粉丝
32
328
博客
2016-01-21
项目信息
以下项目中名称有"*"标记的是forked项目;右边小圆圈里是星星数。

EfficientDNNs TeX 311

Collection of recent methods on DNN compression and acceleration

Caffe_IncReg Makefile 10

IJCNN-19 "Structured Pruning for Efficient ConvNets via Incremental Regularization"; BMVC-18 "Structured probabilistic pruning for convolutional neural network acceleration"

WritingTips TeX 2

"Good scientific writing is not a matter of life and death; it is much more serious than that."

LowlevelVision 2

paper collection for low-level vision

facenet * Python 2

Tensorflow implementation of the FaceNet face recognizer

pytorch-vdsr * Python 1

VDSR (CVPR2016) pytorch implementation

DAFL * Python 0

A Pytorch implementation of "Data-Free Learning of Student Networks" (ICCV 2019).

pytorch-AdaIN * Python 0

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

Taylor_pruning * Python 0

Pruning Neural Networks with Taylor criterion in Pytorch

MNN * C++ 0

MNN is a lightweight deep neural network inference engine.

AgnosticMC Python 0

network-slimming * Python 0

Network Slimming (Pytorch) (ICCV 2017)

Scripts Python 0

scripts

ZeroShotKnowledgeTransfer * Python 0

Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"

EigenDamage-Pytorch * Python 0

Pytorch implementations of the paper "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis".

Deep-Expander-Networks * Python 0

Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".

neon * Python 0

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

mingsun-tse.github.io * JavaScript 0

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

MSGAN * Python 0

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

zjuthesis * PostScript 0

Latex template for zju thesis

pytorch-cnn-visualizations * Python 0

Pytorch implementation of convolutional neural network visualization techniques

PRML 0

AdversarialAttacks 0

PyTorch-GAN * Python 0

PyTorch implementations of Generative Adversarial Networks.

nsfw_data_source_urls * 0

Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier

pytorch-LapSRN * Python 0

Pytorch implementation for LapSRN (CVPR2017)

BayesianNeuralNetwork 0

TransferLearning 0

InterpretableDeepLearning 0

PytorchWCT * Python 0

This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

VisualReasoning 0

context_encoder_pytorch * Python 0

PyTorch Implement of Context Encoders: Feature Learning by Inpainting

FastPhotoStyle * Python 0

Style transfer, deep learning, feature transform

colorization * Jupyter Notebook 0

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

channel-pruning * Python 0

Channel Pruning for Accelerating Very Deep Neural Networks

adaptive-style-transfer * Python 0

source code for the ECCV18 paper A Style-Aware Content Loss for Real-time HD Style Transfer

style-transfer * Python 0

An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.

UniversalStyleTransfer * Lua 0

The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.

caffe * C++ 0

Caffe: a fast open framework for deep learning.

SSL C++ 0

caffe-model * Python 0

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

awesome-speech-recognition-speech-synthesis-papers * 0

automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention

ResNet-on-Cifar10 * Python 0

Reimplementation ResNet on cifar10 with caffe

Automatic_Speech_Recognition * Python 0

End-to-end automatic speech recognition for Madarian and English in Tensorflow

Dynamic-Network-Surgery * C++ 0

Caffe implementation for dynamic network surgery.

convnet-benchmarks * Python 0

Easy benchmarking of all publicly accessible implementations of convnets

BinaryNet * Python 0

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe-tensorflow * Python 0

Caffe models in TensorFlow

loadcaffe * Protocol Buffer 0

Load Caffe networks in Torch7

cs231n.github.io * HTML 0

Public facing notes page

awesome-deep-vision * 0

A curated list of deep learning resources for computer vision

星排名
编程语言 排名 好于 星星数
TeX 19 99.81% 313
Makefile 113 98.11% 10
Python 12046 84.08% 3
更新于2019-11-02 16:16:27