meowoodie / Regularized-RBM
A regularized version of RBM for unsupervised feature selection.
☆13Updated 5 years ago
Alternatives and similar repositories for Regularized-RBM:
Users that are interested in Regularized-RBM are comparing it to the libraries listed below
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- This implements variational inference for the correlated topic model.☆21Updated 10 years ago
- ☆12Updated 6 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- DeepDive Biomedical Tools☆14Updated 8 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 9 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- VAEs on Sparse Data☆12Updated 7 years ago
- Determinantal point process☆19Updated 9 years ago
- Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on…☆12Updated 5 years ago
- Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano☆23Updated 10 years ago
- An implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"☆12Updated 5 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆30Updated 6 years ago
- Making survival analysis work in TensorFlow☆19Updated 7 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- A matlab implementation of one of the top social networks link prediction algorithm to date☆8Updated 8 years ago
- Kaggle's Causality Challenge Solution for team FirfiD☆26Updated 11 years ago
- ☆74Updated 6 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆33Updated 11 years ago
- ☆21Updated 6 years ago
- Poisson Matrix and Tensor Factorization with sparse input and internal representations☆16Updated 5 years ago
- ☆34Updated 7 years ago
- Python code for "Fast Bayesian nonnegative matrix factorisation and tri-factorisation", presented at NIPS 2016 Workshop on Advances in Ap…☆20Updated 6 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 6 years ago