chyikwei / bnp
Bayesian nonparametric models for python
☆18Updated 6 years ago
Alternatives and similar repositories for bnp:
Users that are interested in bnp are comparing it to the libraries listed below
- ☆53Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 9 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Anchor-based topic modeling☆10Updated 4 years ago
- Scripts for ECML PKDD 2018 article: Similarity encoding for learning with dirty categorical variables☆11Updated 6 years ago
- Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms☆14Updated 2 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Python code for HDP(Hierarchical Dirichlet Process) using Direct Assignment☆20Updated 8 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- MLSS 2016 material.☆22Updated 8 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 8 years ago
- *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach☆21Updated 6 years ago
- A curated list of resources related to temporal embeddings☆14Updated 6 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- TF-Tile: an efficient sparse representation for real-valued data☆13Updated last year
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Model for learning document embeddings along with their uncertainties☆35Updated last year
- Active learning for Big Data☆25Updated 6 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 9 years ago
- Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)☆17Updated 2 years ago
- Code for "Using Embeddings to Correct for Unobserved Confounding"☆10Updated 5 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆33Updated 7 years ago
- A framework to identify relations between ideas in temporal text corpora.☆28Updated 6 years ago
- Code to reproduce experiments from the EMNLP 2015 paper about Rumour Stance Classification with Gaussian Processes.☆36Updated 8 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Python Implementation of Collapsed Gibbs Sampling for Latent Dirichlet Allocation (LDA)☆16Updated 9 years ago
- Functional matrix factorization via Bayesian tensor filtering☆13Updated 2 years ago
- Graph clustering and Node embeddings with word2vec☆13Updated 5 years ago