datumbox / DPMM-ClusteringLinks
Java implementation of Dirichlet Process Mixture Model.
☆19Updated 11 years ago
Alternatives and similar repositories for DPMM-Clustering
Users that are interested in DPMM-Clustering are comparing it to the libraries listed below
Sorting:
- Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.☆246Updated 7 years ago
- This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.☆144Updated 10 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 10 years ago
- ☆142Updated 5 years ago
- Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …☆146Updated 10 years ago
- Naive Bayes SVM for Sentiment Analysis☆305Updated 8 years ago
- This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.☆168Updated 9 years ago
- Implementation of various topic models☆370Updated 4 years ago
- A Latent Dirichlet Allocation implementation in Python.☆51Updated 6 years ago
- ☆196Updated 7 years ago
- Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs☆80Updated 6 years ago
- Dynamic Convolutional Neural Networks for Theano/Lasagne☆151Updated 8 years ago
- ☆219Updated 9 years ago
- Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"☆187Updated 8 years ago
- Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"☆146Updated 2 years ago
- Implements supervised topic models with a categorical response.☆64Updated 3 years ago
- Repository for the code of the "A Convolutional Attention Network for Extreme Summarization of Source Code" paper☆119Updated 9 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task☆197Updated 9 years ago
- Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow fram…☆139Updated 6 years ago
- Learning to Rank with Deep Neural Networks☆154Updated 10 years ago
- Social Poisson Factorization☆26Updated 6 years ago
- ☆18Updated 11 years ago
- ☆227Updated 9 years ago
- Tensorflow implementation of Recursive Neural Networks using LSTM units☆136Updated 9 years ago
- Python implementation of Socher et al, EMNLP2013☆36Updated 10 years ago
- Code for ICML 2014 paper "Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data"☆24Updated 10 years ago
- ☆25Updated 8 years ago
- CoFactor: Regularizing Matrix Factorization with Item Co-occurrence☆164Updated 8 years ago
- A variation of the Restricted Boltzmann Machine (RBM) for Collaborative Filtering tasks☆16Updated 3 years ago