itsrainingdata / sparsebn
Software for learning sparse Bayesian networks
☆43Updated 4 years ago
Alternatives and similar repositories for sparsebn:
Users that are interested in sparsebn are comparing it to the libraries listed below
- Fast, principled L1-regularized loss minimization☆23Updated last year
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- R package to visualize mapping structures of random forests with feature contributions☆42Updated 3 years ago
- Generalized lasso implementations☆46Updated 4 months ago
- ☆32Updated 4 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006☆18Updated 11 years ago
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- Fused lasso for high-dimensional regression over groups☆10Updated 6 years ago
- ☆31Updated 2 months ago
- repo for "Optimal Inference After Model Selection"☆11Updated 7 years ago
- ☆12Updated 7 years ago
- ☆31Updated 8 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- Supervised Distance Metric Learning with R☆20Updated 5 years ago
- An R package for better visualizing a statistical learning model☆34Updated 2 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆51Updated 12 years ago
- Restricted Boltzmann Machines in R☆36Updated 4 years ago
- ☆11Updated last year
- Perform tensor-on-tensor regression☆19Updated 5 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 6 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated 7 months ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Updated 9 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago