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 last year
• Markus-Go / rapidminer-anomalydetection
  RapidMiner Extension for Anomaly Detection
  ☆94Updated 6 years ago
• CyberPoint / libpgm
  A library for creating and using probabilistic graphical models
  ☆76Updated 7 years ago
• jMotif / sax-vsm_classic
  SAX-VSM public release, visit our website for detail
  ☆93Updated 3 years ago
• fabianp / mash_2016_sklearn_intro
  Material for the MASH course on introduction to scikit-learn
  ☆16Updated 8 years ago
• wavelets / awesome-artificial-intelligence
  A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
  ☆28Updated 10 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆267Updated 9 years ago
• LIBOL / LIBOL
  Library for Online Learning algorithms
  ☆67Updated 10 years ago
• tdhopper / notes-on-dirichlet-processes
  Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
  ☆414Updated 6 years ago
• enriquegrodrigo / spark-crowd
  A package for dealing with crowdsourced big data. Website: https://enriquegrodrigo.github.io/spark-crowd/
  ☆64Updated 6 years ago
• jMotif / SAX
  Java implementation of SAX, HOT-SAX, and EMMA
  ☆83Updated last year
• yinlou / mltk
  Machine Learning Tool Kit
  ☆138Updated 4 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• gregversteeg / CorEx
  CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded…
  ☆306Updated 8 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 6 years ago
• fpetitjean / Chordalysis
  Learning the structure of graphical models from datasets with thousands of variables
  ☆35Updated 7 years ago
• Waikato / meka
  Multi-label classifiers and evaluation procedures using the Weka machine learning framework.
  ☆208Updated 10 months ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• djour / PyBRML
  Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning
  ☆163Updated 10 years ago
• analog-garage / dimple
  Dimple: Java and Matlab libraries for probabilistic inference
  ☆82Updated 8 years ago
• amten / NeuralNetwork
  Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.
  ☆109Updated 10 years ago
• GrammarViz2 / grammarviz2_src
  GrammarViz 2.0 public release:
  ☆126Updated 3 years ago
• echen / dirichlet-process
  Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
  ☆306Updated 10 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆92Updated 4 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,393Updated 8 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• HIPS / Probabilistic-Backpropagation
  Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
  ☆192Updated 6 years ago
• AmazaspShumik / sklearn-bayes
  Python package for Bayesian Machine Learning with scikit-learn API
  ☆521Updated 3 years ago