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
  • Reinforcement learning
  • Nonparametric models
  • Matrix factorization
  • Tree-based models
  • Neural networks
  • Linear models
  • Preprocessing
    • General
    • Digital signal processing
    • Natural language processing
  • Utilities

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  • Documentation overview
    • Previous: LinearRegression
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PreprocessingΒΆ

  • General
    • FeatureHasher
    • OneHotEncoder
    • Standardizer
    • minibatch
  • Digital signal processing
    • DCT
    • DFT
    • dft_bins
    • magnitude_spectrum
    • power_spectrum
    • batch_resample
    • nn_interpolate_2D
    • nn_interpolate_1D
    • bilinear_interpolate
    • to_frames
    • autocorrelate1D
    • preemphasis
    • cepstral_lifter
    • mel_spectrogram
    • mfcc
    • mel2hz
    • hz2mel
    • mel_filterbank
  • Natural language processing
    • HuffmanEncoder
    • TFIDFEncoder
    • Vocabulary
    • Token
    • ngrams
    • remove_stop_words
    • strip_punctuation
    • tokenize_chars
    • tokenize_words
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