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followers: 3.0 following: 24.0 repos: 86.0 gists: 0.0

Name: snail_fly

Type: User

Company: Hikvision

Bio: The poor ability doesn't matter, as long as tomorrow is a little better than today

Location: HangZhou of China

snail_fly's Projects

hands-on-machine-learning

A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-algorithm

🌍「算法面试+算法知识」针对小白的算法训练 | 还包括：1、阿里、字节、滴滴百篇大厂面经汇总 2、千本开源电子书 3、百张思维导图（右侧来个 star 吧 🌹，English version supported）

hellospark

this is spark demo to learn spark-all-in code

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Dolphin Scheduler is a distributed and easy-to-extend visual workflow scheduling platform, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing.(分布式易扩展的可视化工作流任务调度)

janusgraph

JanusGraph: an open-source, distributed graph database

java-design-patterns

Design patterns implemented in Java

java-interview

Java 面试必会直通BAT

java_line

JAVA进阶相关书籍：《JAVA并发编程实践》、《Linux Shell脚本攻略》、《spring揭秘精选版》、《高性能Mysql》、《深入理解Java虚拟机[JVM高级特性与最佳实践](周志明)》、《图解HTTP 彩色版》、《图解TCP_IP_第5版》、《head+first+servlets jsp》、《How Tomcat Works 中文版》、《J2EE核心模式》、《JAVA并发编程实践》一些大的上传不上来的文件在README

jedis

A blazingly small and sane redis java client

jupyterlab

JupyterLab computational environment.

k8s-tutorials

k8s tutorials | k8s 教程

kafka-monitor

Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statistics - E2E latency, service availability & message loss rate. It reassigns partition & trigger preferred leader election to ensure each broker acts as leader of at least 1 partition of monitor topic.

kafka-multithread-java-example

Create Multi-threaded Apache Kafka Consumer

kafka-storm-starter

Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

ldagibbssampling

Open Source Package for Gibbs Sampling of LDA

learn_netty_source_code

Netty 源码分析教程

learning-spark

Example code from Learning Spark book

lectures

Oxford Deep NLP 2017 course

linkis

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

list_of_recommender_systems

A List of Recommender Systems and Resources

liteflow

Lightweight, fast, stable, and programmable component-based rule engine/process engine. Component reuse, synchronous/asynchronous orchestration, dynamic orchestration, multi-language scripting support, complex nested rules, hot deployment, smooth refreshing. Let you improve your development efficiency!

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