Alternatives and similar repositories for anomaly_detection

Users that are interested in anomaly_detection are comparing it to the libraries listed below

• amplab / training
  Training materials for Strata, AMP Camp, etc
  ☆148Updated 10 years ago
• AtlasPilotPuppy / SparkAlgorithms
  Additional useful algorithms that can be used with spark.
  ☆24Updated 10 years ago
• adobe-research / spark-gpu
  GPU Acceleration for Apache Spark
  ☆34Updated 10 years ago
• holdenk / fastdataprocessingwithsparkexamples
  Examples for Fast Data Processing with Spark
  ☆59Updated 12 years ago
• h2oai / h2o-droplets
  Templates for projects based on top of H2O.
  ☆38Updated 8 months ago
• deepsense-ai / seahorse-workflow-executor
  ☆41Updated 8 years ago
• tdunning / anomaly-detection
  A simple demonstration of sub-sequence sampling as used for anomaly detection with EKG signals
  ☆103Updated 5 years ago
• mengxr / spark-als
  Another, hopefully better, implementation of ALS on Spark
  ☆14Updated 10 years ago
• intel-spark / StatisticsOnSpark
  Assembly of fundamental statistics implemented based on Apache Spark
  ☆31Updated 9 years ago
• ddf-project / DDF
  Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine
  ☆167Updated 4 years ago
• Sotera / correlation-approximation
  Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets
  ☆92Updated 9 years ago
• bhomass / marseille
  A real time streaming implementation of markov chain based fraud detection
  ☆23Updated 10 years ago
• amplab / ml-matrix
  Distributed Matrix Library
  ☆72Updated 8 years ago
• intel-spark / TopicModeling
  Topic Modeling on Apache Spark
  ☆94Updated 6 years ago
• yinlou / mltk
  Machine Learning Tool Kit
  ☆138Updated 5 years ago
• etsy / Conjecture
  Scalable Machine Learning in Scalding
  ☆360Updated 7 years ago
• big-data-research / in-memory-data-pipeline
  The code for the in memory data pipeline that was presented at Berlin Buzzwords 2015.
  ☆10Updated 10 years ago
• vicpara / exploratory-data-analysis
  Spark library for doing exploratory data analysis in a scalable way
  ☆43Updated 9 years ago
• FurongHuang / spectrallda-tensorspark
  Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.
  ☆105Updated 7 years ago
• ceteri / spark-exercises
  Coding exercises for Apache Spark
  ☆104Updated 10 years ago
• googlegenomics / spark-examples
  Apache Spark jobs such as Principal Coordinate Analysis.
  ☆75Updated 8 years ago
• amplab / MLI
  An API for Distributed Machine Learning
  ☆155Updated 9 years ago
• turi-code / spark-sframe
  This project contains the code to translate between Apache Spark and SFrame.
  ☆20Updated 9 years ago
• arunma / ScalaDataAnalysisCookbook
  Code for Packt Publishing's Scala Data Analysis Cookbook.
  ☆48Updated 9 years ago
• skrusche63 / spark-piwik
  Beyond Piwik Analytics with Scala and Apache Spark
  ☆46Updated 11 years ago
• claesenm / spark-ml-inventory
  A curated inventory of machine learning methods available on the Apache Spark platform, both in official and third party libraries.
  ☆65Updated 8 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• tribbloid / ISpark
  An Apache Spark-shell backend for IPython
  ☆105Updated 4 years ago
• intel-spark / SparseML
  Spark MLlib code optimized to efficiently support sparse data
  ☆51Updated 8 years ago
• trustedanalytics / atk
  analytics tool kit
  ☆43Updated 8 years ago