ExaScience / bpmfLinks
Julia and C++ implementations of Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo
☆57Updated last year
Alternatives and similar repositories for bpmf
Users that are interested in bpmf are comparing it to the libraries listed below
Sorting:
- Bayesian multi-tensor factorization methods, with side information☆29Updated 5 years ago
- Distributed NMF/NTF Library☆48Updated 9 months ago
- Bayesian Factorization with Side Information in C++ with Python wrapper☆69Updated 6 months ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 7 years ago
- ☆68Updated last year
- ☆65Updated 5 years ago
- Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".☆40Updated 7 years ago
- ☆34Updated 8 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆55Updated 9 years ago
- collaborative less-is-more filtering☆38Updated 8 years ago
- A short paper describing the library is available on arXiv.☆65Updated 7 years ago
- Randomized SVD of large sparse matrices on Spark☆77Updated 3 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆100Updated 7 years ago
- (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)☆46Updated 4 months ago
- ☆77Updated 7 years ago
- RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…☆93Updated 2 years ago
- Next generation graph processing platform☆12Updated 9 years ago
- CUDA Matrix Factorization Library with Alternating Least Square (ALS)☆180Updated 7 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Updated 11 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 8 years ago
- Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.☆79Updated 4 months ago
- Big Topic Model is a fast engine for running large-scale Topic Models.☆23Updated 8 years ago
- ☆19Updated 7 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- ADMM on Apache Spark☆31Updated 10 years ago
- Tensor spectral clustering.☆29Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Random Walk (Personalized PageRank) Algorithms for Large Graphs☆73Updated 9 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago