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
- 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
- Fast, principled L1-regularized loss minimization☆23Updated last year
- Fused lasso for high-dimensional regression over groups☆10Updated 6 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- R package to visualize mapping structures of random forests with feature contributions☆42Updated 3 years ago
- ☆11Updated last year
- A Gaussian process toolbox in python☆42Updated 12 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 10 years ago
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Updated 8 months ago
- ☆32Updated 4 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago
- Path algorithm for generalized lasso problems☆32Updated 2 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 6 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
- ☆31Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- repo for "Optimal Inference After Model Selection"☆11Updated 8 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago
- CausalFX R Package☆13Updated 9 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Restricted Boltzmann Machines in R☆36Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Supervised Distance Metric Learning with R☆20Updated 6 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 2 weeks ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- Perform tensor-on-tensor regression☆20Updated 5 years ago