614 Open source projects that are alternatives of or similar to Spark Iforest

Spring-Shiro-Spark是Spring-Boot Hibernate Spark Spark-SQL Shiro iView VueJs... ...的集成尝试

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark

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BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.

Simple and beautiful card component with an elegant spark line, for VueJS.

log anomaly detection toolkit including DeepLog

STUMPY is a powerful and scalable Python library for modern time series analysis

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

Compile-time Language Integrated Queries for Scala

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Geospatial Raster support for Spark DataFrames

Spark、Flink等离线任务的调度以及实时任务的监控

Spark Streaming监控平台，支持任务部署与告警、自启动

An End-to-end Outlier Detection System

Elassandra = Elasticsearch + Apache Cassandra

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

📊 Cube — Open-Source Analytics API for Building Data Apps

Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Spark RDD with Lucene's query and entity linkage capabilities

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

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

Deep Learning sample programs using PyTorch in C++

🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

extremely distributed machine learning

Live-coding the cluster!

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Data science and Big Data with Python

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Real-World Anomaly Detection in Surveillance Videos

An Apache Spark framework for easy data processing, extraction as well as derivation for web archives and archival collections, developed at Internet Archive.

Profile and monitor your ML data pipeline end-to-end

An open-source toolkit for large-scale genomic analysis

Anomaly detection for streaming time series, featuring automated model selection.

Distributed Deep learning with Keras & Spark

Applying Lambda Architecture with Spark, Kafka, and Cassandra.

Production Ready Data Integration Product, documentation：

A Flexible, Fast, Federated(3F) SQL Analysis Middleware for Multiple Data Sources

java 进阶之路：面试高频算法、akka、多线程、NIO、Netty、SpringBoot、Spark&&Flink 等

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

Latent space autoregression for novelty detection.

Apache Spark on AWS Lambda

Spark SQL index for Parquet tables

Node.js bindings for Apache Spark DataFrame APIs

A distributed data processing framework in Haskell.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Distributed t-SNE via Apache Spark

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

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

Machine Learning Platform and Recommendation Engine built on Kubernetes

List of tools & datasets for anomaly detection on time-series data.

A Linux based software package to control led's on Logitech G910, G810, G610 and G410.

Source code for Skip-GANomaly paper

spark ml 算法原理剖析以及具体的源码实现分析

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

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

Source code for James Lee's Aparch Spark with Java course

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Big Data Ecosystem Docker

Splash, a flexible Spark shuffle manager that supports user-defined storage backends for shuffle data storage and exchange