zhixiaochuan12

pytorch_geometric

Graph Neural Network Library for PyTorch

resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

mtheme

A modern LaTeX Beamer theme

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

RAdam

On the Variance of the Adaptive Learning Rate and Beyond

Awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

NLPer-Arsenal

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

english-wordlists

常用英语词汇表

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

BeamerStyleSlides

🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

allRank

allRank is a framework for training learning-to-rank neural models based on PyTorch.

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

faiss_tips

Some useful tips for faiss

nodevectors

Fastest network node embeddings in the west

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

MAGNN

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

HGB

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

CorrectAndSmooth

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

dbscan

Python implementation of 'Density Based Spatial Clustering of Applications with Noise'

pytorch-examples

train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc

Sequential-Recommendation-Datasets

Download and preprocess popular sequential recommendation datasets

recsys_spark

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

GraphMemoryNet

Memory-Based Graph Networks

GCC

Graph Contrastive Clustering (ICCV2021)

maxp_baseline_model

PreHash

cal_metrics

a script to calculate precision@k recall@k f1@k hitrate@k map@k mrr@k ndcg@k auc qauc qrecall qndcg

KDDCup2021_WikiKG90M_OhMyGod