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rxlgq's Projects

agriculture_knowledgegraph icon agriculture_knowledgegraph

农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策

aspl icon aspl

Active Self-Paced Learning for Cost-Effective and Progressive Face Identification

bert-keras icon bert-keras

Keras implementation of BERT with pre-trained weights

bert_in_keras icon bert_in_keras

在Keras下微调Bert的一些例子;some examples of bert in keras

capsule icon capsule

A Capsule Implement with Pure Keras

clustergcn icon clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

crf icon crf

keras implementation of conditional random field

deep_gcns_torch icon deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

deeppath icon deeppath

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

faceai icon faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

gaitset icon gaitset

A flexible, effective and fast cross-view gait recognition network

gcn-gru icon gcn-gru

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data

gcn-with-lstm icon gcn-with-lstm

グラフ構造を畳み込むGCNをLSTMを使って改良する

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

goproxy icon goproxy

Proxy is a high performance HTTP(S), websocket,TCP, UDP,Secure DNS,Socks5 proxy server .Chain-style proxies,nat forwarding in different lan,TCP/UDP port forwarding, SSH forwarding ,ipv4 and ipv6 supporting .Proxy是golang实现的高性能http,https,websocket,tcp,防污染DNS,socks5代理服务器,支持内网穿透,链式代理,通讯加密,智能HTTP,SOCKS5代理,域名黑白名单,跨平台,KCP协议支持,支持ipv4和ipv6,集成外部API。

graph2seq icon graph2seq

Graph Neural Networks including GAT\GCN\GGNN,GGNN-LSTM,using scene graph to generate captions

graph_nets icon graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

harmonica icon harmonica

Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.

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