numpy-ml

Machine learning, in NumPy

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  • Hidden Markov models
  • Gaussian mixture models
  • Latent Dirichlet allocation
  • N-gram smoothing models
  • Multi-armed bandits
    • Bandit Environments
    • Policies
    • Trainer
  • Reinforcement learning
  • Nonparametric models
  • Matrix factorization
  • Tree-based models
  • Neural networks
  • Linear models
  • Preprocessing
  • Utilities

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Multi-armed banditsΒΆ

  • Bandit Environments
    • Bandit
    • MultinomialBandit
    • BernoulliBandit
    • GaussianBandit
    • ShortestPathBandit
    • ContextualBernoulliBandit
    • ContextualLinearBandit
  • Policies
    • BanditPolicyBase
    • EpsilonGreedy
    • UCB1
    • ThompsonSamplingBetaBinomial
    • LinUCB
  • Trainer
    • BanditTrainer
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