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  • University of Washington

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  1. HiddenMarkovModels HiddenMarkovModels Public

    Use HMM to do POS tagging. Viterbi decoding and linear interpolation smoothing

    Python

  2. NamedEntityRecognition NamedEntityRecognition Public

    NE tagging with structured perceptron, hand-designed features. Use CoNLL-2003 dataset

    Python 1 2

  3. ClickProbabilityPrediction ClickProbabilityPrediction Public

    Predict Ads click through rates using Logistic Regression. Implemented Stochastic Gradient Descent, L2 regularization, Hash Kernel

    Python 1

  4. clustering clustering Public

    Kmeans, Kmeans++, Gaussian Mixtures

    Python

  5. Stochastic_dual_coordinate_ascent Stochastic_dual_coordinate_ascent Public

    classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching

    Python 1 2

  6. Bandits-using-UCB-algorithm Bandits-using-UCB-algorithm Public

    Thompson Sampling for Bandits using UCB policy

    Python 10 3