Alternatives and similar repositories for scikit-eLCS

Users that are interested in scikit-eLCS are comparing it to the libraries listed below

• UrbsLab / scikit-XCS
  scikit learn compatible implementation of XCS, the most popular and best studied learning classifier system algorithm to date.
  ☆12Updated last year
• felixleopoldo / trilearn
  Bayesian structure learning and classification in decomposable graphical models.
  ☆11Updated last year
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 4 years ago
• ptonner / pyFDA
  Functional data analysis in python
  ☆12Updated 9 years ago
• afermanian / embedding_with_signatures
  ☆13Updated 2 years ago
• waynechanccw01 / Trading-Optimization-using-Directional-Changes-and-AI
  ☆12Updated 3 years ago
• ruleminer / InterpreTS
  Feature extraction from time series to support the creation of interpretable and explainable predictive models
  ☆13Updated 2 months ago
• pslii / datasmash
  Data Smashing
  ☆13Updated 10 years ago
• continental / RelaxedLasso
  Implementation of Relaxed Lasso Algorithm for Linear Regression.
  ☆12Updated 3 years ago
• lyelibi / potts-model-clustering
  Super-Paramagnetic Clustering, Maximum entropy, Maximum Likelihood Methods.
  ☆11Updated 3 years ago
• Keycatowo / rough-set
  Rough Set Python Package is a Python library that provides a set of tools to calculate rough sets and obtain reduct rules.
  ☆16Updated last year
• andrewcharlesjones / universal_portfolios
  ☆13Updated 3 years ago
• Quiota / tensorflow
  ☆10Updated 8 years ago
• adaa-polsl / RuleKit-python
  Python API for RuleKit.
  ☆22Updated this week
• ronojoy / pybisp
  This aims to be a collection of tools for performing Bayesian parameter estimation and model selection on stochastic processes. The immed…
  ☆11Updated 3 years ago
• ruleminer / decision-rules
  Package implementing decision rules. Includes tools for calculations of various measures and indicators, as well as algorithms for filter…
  ☆16Updated this week
• biolab / orange3-conformal
  Conformal Prediction library for Orange3
  ☆10Updated 6 years ago
• giotto-ai / noise-to-signal
  How to use topology to decode binary signals in high-noise regimes.
  ☆18Updated 4 years ago
• phcsoares / econci
  Economic Complexity Indexes
  ☆16Updated 2 years ago
• dirmeier / structure-learning-with-pymc
  Demo how one could use PyMC3 to learn the structure of a Bayesian network.
  ☆9Updated 5 years ago
• Imperial-College-Data-Science-Society / Machine-Learning-API
  ICDSS Machine Learning Workshop Series: Machine Learning APIs
  ☆9Updated 7 years ago
• druce / ValueMomentum
  Value and Momentum Using Machine Learning
  ☆11Updated 4 years ago
• prestsoftware / prest
  Revealed preference analysis and preference estimation from choice datasets
  ☆15Updated last month
• martinroyer / atol
  package for ATOL: Automatic Topologically-Oriented Learning
  ☆24Updated 4 months ago
• Tony-sama / pylfit
  Python implementation of the main algorithms of the Learning From Interpretation Transitions (LFIT) framework
  ☆13Updated last month
• pierovic94 / TACTICAL-ASSET-ALLOCATION-AND-MACHINE-LEARNING
  This paper studies how a machine learning algorithm can generate tactical allocation which outperforms returns for a pre-defined benchmar…
  ☆12Updated 4 years ago
• ClarkQTIM / A-Survey-of-Deep-Learning-Architectures-for-Algorithmic-Cryptocurrency-Trading
  This repository is for my master's project, A Survey of Deep Learning Architectures for Algorithmic Cryptocurrency Trading, delivered on …
  ☆9Updated 2 years ago
• dppalomar / pob
  Supporting data package for the Portfolio Optimization Book
  ☆23Updated 5 months ago
• JurgenPalsma / swarmex
  Optimising a FOREX trading strategy with nature inspired algorithms
  ☆11Updated 6 years ago
• Ralami1859 / BayesianOnlineChange-pointDetection-python-codes-
  Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
  ☆15Updated 3 years ago