Alternatives and similar repositories for xcs

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

• inspectorG4dget / Genetic-Framework
  Pure Python Evolutionary Algorithms Framework
  ☆46Updated 5 years ago
• ryanurbs / eLCS
  Educational Learning Classifier System (eLCS) - Implementation of a basic, generic Michigan-style LCS algorithm
  ☆14Updated 7 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆75Updated 6 years ago
• hchasestevens / monkeys
  A strongly-typed genetic programming framework for Python
  ☆123Updated 6 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• rgbkrk / bookstore
  IPython notebook storage on OpenStack clouds
  ☆58Updated 6 years ago
• mharradon / LowRankPropagation
  Propagation Technique for Solving Low Rank Matrix Completion
  ☆37Updated 8 years ago
• vanhooser / TF-Genetic
  Evolutionary Neural Networks backed by TensorFlow and pure Python
  ☆108Updated 8 years ago
• rohit-jain / parzer
  Statistical Dependency Parser using SVM as proposed by Yamada et al
  ☆29Updated 9 years ago
• sigopt / sigopt-sklearn
  SigOpt wrappers for scikit-learn methods
  ☆75Updated last year
• j2kun / neural-networks
  Python code and data sets used in the post on neural networks.
  ☆83Updated 4 years ago
• josephreisinger / vowpal_porpoise
  lightweight python wrapper for vowpal wabbit
  ☆168Updated 5 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• nils-werner / pymf
  Python Matrix Factorization Module
  ☆32Updated 9 years ago
• pymc-devs / uq_chapter
  Uncertainty quantification book chapter
  ☆50Updated 9 years ago
• erp12 / pyshgp
  Push Genetic Programming in Python.
  ☆75Updated last year
• jpbonson / SBBFramework
  Python implementation of the SBB genetic programming algorithm for reinforcement learning and classification tasks.
  ☆25Updated 4 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 7 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• j2kun / mwua
  Python code implementing the MWUA algorithm and a Linear Program solver
  ☆34Updated last year
• zackriegman / pydnn
  pydnn: deep neural network library in Python
  ☆15Updated 10 years ago
• kootenpv / xtoy
  Automated Machine Learning: go from 'X' to 'y' without effort.
  ☆47Updated 5 years ago
• eyadsibai / brute-force-plotter
  Tool to visualize data quickly with no brain usage for plot creation
  ☆46Updated 6 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• pombredanne / SimSearch
  Implementation of Bayesian Sets for fast similarity searches.
  ☆14Updated 13 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 6 years ago
• EFavDB / linselect
  ☆89Updated 6 years ago