Pinned Repositories
AwesomeWriting
cfd-gcn-paddle
cfd-gcn 转换为paddle
CorrSTN
A correlation information-based spatiotemporal network for traffic flow forecasting
DCRNN_PyTorch
Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch
graphcast-paddle
HSSInfo
A Low-Memory Community Detection Algorithm with Hybrid Sparse Structure and Structural Information for Large-scale Networks
inn-surrogate-paddle
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PaddleNLP
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
PaddleXDE
PaddleXDE is a libarary that helps you build deep learning applications for PaddlePaddle using ordinary differential equations.
DrownFish19's Repositories
DrownFish19/ClientServerProject
一个C-S模版，该模版由三部分的程序组成，一个服务端运行的程序，一个客户端运行的程序，还有一个公共的组件，实现了基础的账户管理功能，版本控制，软件升级，公告管理，消息群发，共享文件上传下载，批量文件传送功能。具体的操作方法见演示就行。本项目的一个目标是：提供一个基础的中小型系统的C-S框架，客户端有三种模式，无缝集成访问，winform版本，wpf版本，asp.net mvc版本，方便企业进行中小型系统的二次开发和个人学习。同时网络组件方便的支持读写三菱和西门子PLC的数据，详细见Readme
DrownFish19/frpc-IOS
IOS,苹果版frpc.一个快速反向代理，可帮助您将NAT或防火墙后面的本地服务器暴露给Internet。
DrownFish19/Gp
graduation project
DrownFish19/GraphCubeFilteringUsingInformationEntropy
DrownFish19/iNSFC
An awesome LaTeX template for NSFC proposal.
DrownFish19/lidar2d
Base configuration for installation and interaction with 2d HOKUYO URG lidar
DrownFish19/SKRSPTestOnSpark2.2.0
论文对应代码，因作者没有在论文中提及，此处备份
DrownFish19/solcrypto
Solidity crypto libraries, ring signatures, proof of knowledge, packed signatures etc. with matching Python implementations for secp256k1 and (alt)BN-256
DrownFish19/spark-betweenness
k Betweenness Centrality algorithm for Spark using GraphX
DrownFish19/STDN
Code for our Spatiotemporal Dynamic Network
DrownFish19/STGCN
implementation of STGCN for traffic prediction in IJCAI2018