1370 Open source projects that are alternatives of or similar to Xlearning Xdml

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

Building Large-Scale AI Applications for Distributed Big Data

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

AI on Hadoop

low-level helpers for Apache Spark libraries and tests

Generic Data Ingestion & Dispersal Library for Hadoop

WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community. WeDataSphere, Big Data Made Easy!

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

深圳地铁大数据客流分析系统🚇🚄🌟

Java开发者或者大数据开发者面试知识点整理

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

Open-source distribute workflow schedule tools, also support streaming task.

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Create clusters of VMs on the cloud and configure them with Ansible.

Data Lineage Tracking And Visualization Solution

A distributed data processing framework in Haskell.

基于Spark2.2新闻网大数据实时系统项目

电商用户行为分析大数据平台

R interface for Apache Spark

Distributed Java game server, including cluster management server, gateway server, hall server, game logic server, background monitoring server and a running web version of fishing. State machine, behavior tree, A* pathfinding, navigation mesh and other AI tools

🎯 🌟[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结

按知识领域整理面试题，包括C++、Java、Hadoop、机器学习等

大数据入门指南 ⭐

Waimak is an open-source framework that makes it easier to create complex data flows in Apache Spark.

Distributed compute platform implemented in Rust, and powered by Apache Arrow.

Realtime calculation distributed system. AKA distributed lodash

Ruby wrapper for Apache Spark

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Fast Data Cluster (Apache Cassandra, Kafka, Spark, Flink, YARN and HDFS with Vagrant and VirtualBox)

Simple and Distributed Machine Learning

Code Library for My Blog

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Basin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser

A complete (distributed) BigData stack, running in containers

Educational notes,Hands on problems w/ solutions for hadoop ecosystem

Production Ready Data Integration Product, documentation：

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

一个大数据架构师应该掌握的技能

Iceberg is a table format for large, slow-moving tabular data

Big Data Ecosystem Docker

Cookbook to install Hadoop 2.0+ using Chef

大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

Alluxio, data orchestration for analytics and machine learning in the cloud

50+ DockerHub public images for Docker & Kubernetes - Hadoop, Kafka, ZooKeeper, HBase, Cassandra, Solr, SolrCloud, Presto, Apache Drill, Nifi, Spark, Consul, Riak, TeamCity and DevOps tools built on the major Linux distros: Alpine, CentOS, Debian, Fedora, Ubuntu

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

MapReduce, Spark, Java, and Scala for Data Algorithms Book

编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

A Spark cluster setup running on Docker containers

A Docker container with a full Hadoop cluster setup with Spark and Zeppelin

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

A big data platform for analyzing web access logs

Extended datasource support for Spark/Hadoop on Aliyun E-MapReduce.

Fundamentals of Spark with Python (using PySpark), code examples

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

零基础学习spark，大数据学习

🚢 Docker image for Apache Spark

个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。