Pinned Repositories
algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
AlphaTree-graphic-deep-neural-network
将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解
apollo
Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。
archwalker.github.io
My personal website
awesome-java
Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).
cookiecutter-kaggle
A cookiecutter-based project template for starting kaggle projects with Python. Take a cookie, relax, and enjoy kaggling!
cube_data_statistics
三维数组的统计示例
cvat
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms
DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
deeplearningbook-chinese
Deep Learning Book Chinese Translation
xyhXYH's Repositories
xyhXYH/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
xyhXYH/AlphaTree-graphic-deep-neural-network
将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解
xyhXYH/apollo
Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。
xyhXYH/archwalker.github.io
My personal website
xyhXYH/awesome-java
Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).
xyhXYH/cvat
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms
xyhXYH/DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
xyhXYH/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
xyhXYH/face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
xyhXYH/facenet
Face recognition using Tensorflow
xyhXYH/fitlog
fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具
xyhXYH/GNNPapers
Must-read papers on graph neural networks (GNN)
xyhXYH/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
xyhXYH/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
xyhXYH/graph-learn
graph-learn
xyhXYH/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
xyhXYH/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
xyhXYH/impyla
Python DB API 2.0 client for Impala and Hive (HiveServer2 protocol)
xyhXYH/Interview
Interview = 简历指南 + LeetCode + Kaggle
xyhXYH/interview_python
关于Python的面试题
xyhXYH/KarateGCN
A pytorch implement for GCN on Zachary’s karate club dataset.
xyhXYH/MachineLearning
Machine learning resources
xyhXYH/MTCNN-Tensorflow
Reproduce MTCNN using Tensorflow
xyhXYH/ngender
根据姓名来判断性别
xyhXYH/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
xyhXYH/spark-submit-sql
From SQL queries to CSV files with native Spark jobs (in Scala and Python)
xyhXYH/spark_learning
尚硅谷大数据Spark-2019版最新 Spark 学习
xyhXYH/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
xyhXYH/tips_for_interview
Some of my thoughts about interview. 我的一些面试心得
xyhXYH/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020