rootlu Goto Github PK

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

anti-anti-spider

越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）

astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

chinese_docker

docker中文文档，docker Chinese Documation

cn_mooc_dl

**大学MOOC，学堂在线，网易云课堂，下载

convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

dataset-examples

Samples for users of the Yelp Academic Dataset

deepwalk

DeepWalk - Deep Learning for Graphs

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

documents

一些文档

dyhne

Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"

dynamic-kg

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

dynamicgem

dynamictriad

Dynamic Network Embedding by Modeling Triadic Closure Process

embedx

embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google AI Research

graphrnn

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hine

Heterogeneous Information Network Embedding

iclr2017

Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"

ipproxypool

IPProxys代理池项目，提供代理ip

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

l2p-gnn

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode