zhanglanhui's Stars
yeasy/docker_practice
Learn and understand Docker&Container technologies, with real DevOps practice!
JerryLead/SparkInternals
Notes talking about the design and implementation of Apache Spark
gonum/gonum
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
endymecy/spark-graphx-source-analysis
spark graphx 的原理及相关操作的源码解析
lcylmhlcy/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
wolverinn/Waking-Up
计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结,包含详细的follow-up question以及答案;全部采用【问题+追问+答案】的形式,即拿即用,直击互联网大厂面试;可用于模拟面试、面试前复习、短期内快速备战面试...
gatieme/CodingInterviews
剑指Offer——名企面试官精讲典型编程题
gzc426/Java-Interview
Java 面试必会 直通BAT
AobingJava/JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
julycoding/The-Art-Of-Programming-By-July-2nd
本项目曾冲到全球第一,干货集锦见本页面最底部,另完整精致的纸质版《编程之法:面试和算法心得》已在京东/当当上销售
NLP-LOVE/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。
0voice/interview_internal_reference
2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
apache/dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
jacksu/utils4s
scala、spark使用过程中,各种测试用例以及相关资料整理
alibaba/Alink
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
mlflow/mlflow
Open source platform for the machine learning lifecycle
yahoo/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Angel-ML/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
ibayer/fastFM
fastFM: A Library for Factorization Machines
mouna99/dien
yangxudong/deeplearning
深度学习相关的模型训练、评估和预测相关代码
wzhe06/Reco-papers
Classic papers and resources on recommendation
neal668/LightGBM-GBDT-LR
a python code of applying GBDT+LR for CTR prediction
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code