rabbicui Goto Github PK

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

awesome-deep-community-detection

Deep and classic community detection related papers, implementations, datasets, and tools

awesome-gnn-research

My future research

bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

book

:green_book:我的个人书籍学习和收藏

cogdl

CogDL: An Extensive Toolkit for Deep Learning on Graphs

communities

Library of community detection algorithms and visualization tools

customer-segmentation

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

dgl

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

gcnii

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

hw_final

learning-nlp

nlp in action

link-prediction-based-on-ml

通过研究社交网络，从网络中提取拓扑结构特征，运用机器学习方法进行链路预测，比较了几种机器学习算法的预测精度。

markdown-resume-template

BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了，避免没有必要的花哨修饰，大家可以fork到自己仓库中，基于这个模板进行修改。

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

ncr

Scenic: A Jax Library for Computer Vision Research and Beyond

pu_learning

Experiments in positive-unlabeled learning

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pygcn

Graph Convolutional Networks in PyTorch

pytorch-on-angel

PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

rabbicui

Config files for my GitHub profile.

relational-gcn

Keras-based implementation of Relational Graph Convolutional Networks

ructhesis

**人民大学LaTeX论文模板

student_and_teacher_classifier

通过科研人员论文项目等数据，训练识别导师/学生的分类器。代码包括特征选择基础、网格搜索确定特征选择方法参数、不平衡数据的处理(oversampling、undersampling)和pu-learning方法在此问题上的应用

synapseml

Simple and Distributed Machine Learning