yiyang-wang

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

AutoMihoyoBBS

米游社自动签到，支持：崩坏二、崩坏三、原神，米游币自动获取

bgnn

BiliRoaming

哔哩漫游，解除B站客户端番剧区域限制的Xposed模块，并且提供其他小功能。An Xposed module that unblocks bangumi area limit of BILIBILI with miscellaneous features.

CG3

This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning].

dgl

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

digital_image_processing

本科时期数字图像处理课程的大作业

FBNE-PU

FBNE-PU Algorithm related baselines package

gbt7714-bibtex-style

GB/T 7714-2015 BibTeX Style

genshin-sign

原神自动签到

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

Graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

ie-HGCN

Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

KeqingNiuza

刻记牛杂店

Malware_Analysis

Classification of infected and benign files using PE header file analysis.

mesa

NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

Meta-GDN_AnomalyDetection

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

MMD_Loss.Pytorch

A pytorch implementation of Maximum Mean Discrepancies(MMD) loss

NRGNN

A PyTorch implementation of "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021)

OpenBG-CSK

Baselines for CCKS 2022 Task "Commonsense Knowledge Salience Evaluation"

Positive-and-Unlabeled-Learning

关于PU-Learning的仓库，部分来源于原文的链接。之后会附上。

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

TieBaSign

白嫖Github Action实现贴吧自动签到

XJTU-thesis

西安交通大学学位论文模板（LaTeX）（适用硕士、博士学位）An official LaTeX template for Xi'an Jiaotong University degree thesis (Chinese and English)