Alternatives and similar repositories for JCLAL

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

• amidst / toolbox
  A Java Toolbox for Scalable Probabilistic Machine Learning
  ☆122Updated 2 years ago
• Markus-Go / rapidminer-anomalydetection
  RapidMiner Extension for Anomaly Detection
  ☆95Updated 6 years ago
• fpetitjean / Chordalysis
  Learning the structure of graphical models from datasets with thousands of variables
  ☆35Updated 7 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆268Updated 9 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 7 years ago
• SCI2SUGR / KEEL
  KEEL: Knowledge Extraction based on Evolutionary Learning
  ☆130Updated 7 years ago
• jMotif / sax-vsm_classic
  SAX-VSM public release, visit our website for detail
  ☆94Updated 3 years ago
• yinlou / mltk
  Machine Learning Tool Kit
  ☆138Updated 5 years ago
• gingsmith / cocoa
  communication-efficient distributed coordinate ascent
  ☆90Updated 6 years ago
• Waikato / meka
  Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
  ☆208Updated last year
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆225Updated 9 years ago
• wavelets / awesome-artificial-intelligence
  A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
  ☆28Updated 10 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• sramirez / fast-mRMR
  An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).
  ☆83Updated 3 years ago
• fabianp / mash_2016_sklearn_intro
  Material for the MASH course on introduction to scikit-learn
  ☆16Updated 8 years ago
• LIBOL / LIBOL
  Library for Online Learning algorithms
  ☆67Updated 11 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
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆136Updated 5 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 8 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆412Updated 6 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 10 years ago
• yahoo / SparkADMM
  Generic Implementation of Consensus ADMM over Spark
  ☆84Updated 9 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 10 years ago
• woshialex / SantaStolenSleigh
  Santa's Stolen Sleigh competition
  ☆15Updated 9 years ago
• mkliegl / kaggle-Facebook-V
  Second place solution for Facebook V competition on Kaggle
  ☆77Updated 9 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 11 years ago
• christophebourguignat / notebooks
  ☆160Updated 8 years ago
• jMotif / SAX
  Java implementation of SAX, HOT-SAX, and EMMA
  ☆83Updated 2 years ago