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CenGuandong's starred repositories

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

218800

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

Language:PythonMIT68500

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Language:Jupyter NotebookMIT18700

FastGCN

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

Language:Python51500

zero-shot-gcn

Zero-Shot Learning with GCN (CVPR 2018)

Language:PythonMIT91600

Neighborhood-Enlargement-in-Graph-Network

A Direct Neighborhood Combination of the Adjacency Matrix for Graph Learning

Language:Python600

pytorch-captcha-recognition

基于CNN训练的一套 "端到端" 的验证码识别模型，使用深度学习+训练数据+大量计算力，纯数字识别率高达 99.99%，数字+字母识别率 96%

Language:PythonApache-2.0107100

graph-based-nn

Graph Convolutional Networks (GCNs)

90300

pygcn

Graph Convolutional Networks in PyTorch

Language:PythonMIT512600

pytorch_geometric

Graph Neural Network Library for PyTorch

Language:PythonMIT2079000

ML-GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

Language:Python139900

GNNPapers

Must-read papers on graph neural networks (GNN)

1579600

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Language:PythonMIT84600

LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

Language:Jupyter NotebookMIT137600

Weighted_Softmax_Loss

Weighted Softmax Loss Layer for Caffe

Language:Cuda8800

Tensorflow-SegNet

Implement slightly different caffe-segnet in tensorflow

Language:PythonMIT36800

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

Language:PythonMIT50200

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

Language:PythonApache-2.0307800

pwc

This repository is no longer maintained.

1539800

warp-ctc

Fast parallel CTC.

Language:CudaApache-2.0406100

RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Language:Python136700

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

Language:C++BSD-3-Clause37400

awesome-ocr-resources

A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

40400

ganhacks

starter from "How to Train a GAN?" at NIPS2016

1141000

Xlearn

Transfer Learning Library

Language:Jupyter Notebook45900

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Language:PythonMIT1317700

VideoSuperResolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Language:PythonMIT160400

ESRGAN

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Language:PythonApache-2.0590800

Adversarial_Autoencoder

A wizard's guide to Adversarial Autoencoders

Language:PythonMIT42900

adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

Language:PythonMIT24700