aatapa / RLScore
☆68Updated last year
Alternatives and similar repositories for RLScore:
Users that are interested in RLScore are comparing it to the libraries listed below
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- ☆74Updated 6 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Randomized embeddings for extreme learning☆24Updated 9 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
- Categorical Latent Gaussian Process☆16Updated 10 years ago
- ☆58Updated 9 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- MLSS 2016 material.☆22Updated 8 years ago
- Randomized online matrix factorization☆139Updated 4 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 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
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Vector-Space Markov Random Fields☆21Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Python package for modular Bayesian optimization☆134Updated 4 years ago
- Implementations of matrix factorization or tensor factorization algorithms☆32Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆36Updated last year
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- High-performance Non-negative Matrix Factorizations (NMF) - Python/C++☆49Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Original implementation of Calibrated Boosting-Forest☆18Updated 7 years ago