Alternatives and similar repositories for axelrod-dojo

Users that are interested in axelrod-dojo are comparing it to the libraries listed below

• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• coreylynch / sklearn-transform
  Collection of scripts for doing common transformations in machine learning
  ☆21Updated 12 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 9 years ago
• HHammond / kcbo
  A Bayesian testing framework written in Python.
  ☆94Updated 10 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• Axelrod-Python / AxelrodExamples
  Analysis and examples for the Axelrod-Python library
  ☆16Updated 7 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 7 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 9 years ago
• probcomp / iventure
  An interactive, browser-based probabilistic programming environment.
  ☆14Updated 4 years ago
• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• LucaAmbrogioni / Functional-GP-analysis-in-Python
  A python toolbox for GP analysis written in a functional programming style
  ☆22Updated 7 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆121Updated 3 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• mbeissinger / recurrent_gsn
  Deep Generative Stochastic Networks for Sequence Prediction
  ☆8Updated 2 years ago
• rhiever / active-categorical-classifier
  A tool that evolves small brains capable of scanning and classifying an image.
  ☆14Updated 8 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 8 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• jonsedar / tsne_presentation
  Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups
  ☆9Updated 9 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 9 years ago
• probcomp / cgpm
  Library of composable generative population models which serve as the modeling and inference backend of BayesDB.
  ☆25Updated 11 months ago
• datamicroscopes / mixturemodel
  Dirichlet process mixture model (DPMM) for datamicroscopes
  ☆13Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• baraldilorenzo / DL_tutorials
  ☆14Updated 9 years ago