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Mo Chen


THU

Active since 2012

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Machine Learning researcher specialized in Bayesian inference and Deep Learning

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  • GitHub Submissions Level 1
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Submitted


Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

4 years ago | 7 downloads |

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EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.

4 years ago | 31 downloads |

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Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling

4 years ago | 3 downloads |

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MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)

4 years ago | 13 downloads |

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Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox

5 years ago | 101 downloads |

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Kmeans Clustering
Super fast and terse kmeans clustering.

6 years ago | 73 downloads |

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Kernel Kmeans
kernel kmeans algorithm

6 years ago | 6 downloads |

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Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

6 years ago | 29 downloads |

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Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding

7 years ago | 1 download |

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Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

7 years ago | 1 download |

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Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.

7 years ago | 4 downloads |

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Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

7 years ago | 3 downloads |

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Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).

7 years ago | 3 downloads |

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Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling

7 years ago | 4 downloads |

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Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation

7 years ago | 8 downloads |

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Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.

7 years ago | 1 download |

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EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data

7 years ago | 4 downloads |

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Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

7 years ago | 37 downloads |

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Adaboost
Adaboost for classification

7 years ago | 3 downloads |

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Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data

7 years ago | 3 downloads |

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Logistic Regression for Classification
Logistic regression for both binary and multiclass classification

7 years ago | 7 downloads |

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Kernel Learning Toolbox
Machine Learning with kernels

7 years ago | 5 downloads |

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Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.

7 years ago | 19 downloads |

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Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components

7 years ago | 14 downloads |

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Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc

7 years ago | 22 downloads |