1103 Open source projects that are alternatives of or similar to Bigdl

Simple and Distributed Machine Learning

A large-scale entity and relation database supporting aggregation of properties

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.

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

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

大数据入门指南 ⭐

extremely distributed machine learning

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

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.

A Spark cluster setup running on Docker containers

Cookbook to install Hadoop 2.0+ using Chef

Apache Spark Website

🚢 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。

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).

Apache Hive

Spark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.

Hadoop Crypto Ledger - Analyzing CryptoLedgers, such as Bitcoin Blockchain, on Big Data platforms, such as Hadoop/Spark/Flink/Hive

Feature Store for Machine Learning

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

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

Julia binding for Apache Spark

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!

Java开发者或者大数据开发者面试知识点整理

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.

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

A simple Spark-powered ETL framework that just works 🍺

Research on distributed system

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Big Data for Data Engineers Coursera Specialization from Yandex

Big Data Processing Framework - Unified Data API or SQL on Any Storage

The open big data serving engine. https://vespa.ai

Scalable, redundant, and distributed object store for Apache Hadoop

Production Ready Data Integration Product, documentation：

Two-day workshop that covers how to use R to interact databases and Spark

Apache Spark on AWS Lambda

DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.

A Clojure dataframe library that runs on Spark

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

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…

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

AI on Hadoop

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.

GeoTrellis for PySpark

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Koalas: pandas API on Apache Spark

Spark、Flink等离线任务的调度以及实时任务的监控

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Enabling queries on compressed data.

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

A tool for provisioning and managing Apache Hadoop clusters in the cloud. Cloudbreak, as part of the Hortonworks Data Platform, makes it easy to provision, configure and elastically grow HDP clusters on cloud infrastructure. Cloudbreak can be used to provision Hadoop across cloud infrastructure providers including AWS, Azure, GCP and OpenStack.

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

Data Lineage Tracking And Visualization Solution

Apache Tez

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

Apache Spark 官方文档中文版