david-matheson / rftk
Random forest toolkit
☆39Updated 11 years ago
Alternatives and similar repositories for rftk
Users that are interested in rftk are comparing it to the libraries listed below
Sorting:
- Metric Learning to Rank☆46Updated 11 years ago
- solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent☆21Updated 10 years ago
- ICML 2013 experiments for "Consistency of Online Random Forests" using rftk☆20Updated 11 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- an active learning framework in python☆44Updated 9 years ago
- Preconditioning Kernel Matrices☆15Updated 8 years ago
- Dirichlet Process K-means☆48Updated 11 months ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago
- Soft Decision Trees (code for ICPR 21 paper)☆32Updated 11 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- SimEc code relying on the theano library - check out the simec repo instead for keras based code!☆10Updated 7 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- Functional ANOVA☆27Updated 10 years ago
- ☆13Updated 7 years ago
- Multi-Residual Networks☆23Updated 8 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- A Newton ADMM based solver for Cone programming.☆38Updated 7 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Updated 8 years ago
- ☆11Updated 9 years ago
- Repository for Chained Gaussian Processes☆14Updated 9 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- code for fast dropout☆46Updated 9 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago