vericast / bayes_logistic
Bayesian Logistic Regression using Laplace approximations to the posterior.
☆47Updated 7 years ago
Related projects: ⓘ
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- 1st place submission to the AutoML competition - phase 2☆27Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Implementations of matrix factorization or tensor factorization algorithms☆32Updated 8 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Bernoulli Embeddings for Text☆82Updated 6 years ago
- ☆15Updated 8 years ago
- ☆36Updated 9 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- ☆29Updated 8 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆49Updated 8 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- ☆58Updated 8 years ago
- Mirror of the scripts for Dwork et al's paper on holdout reuse☆38Updated 9 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20Updated 7 years ago
- Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335☆54Updated 8 years ago
- ☆46Updated 10 years ago
- Boosting and ensemble learning in Python.☆54Updated 9 years ago
- ☆41Updated this week
- Dionis predictors blender☆10Updated 8 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆24Updated 8 years ago
- Spearmint, without the gum☆42Updated 7 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆73Updated 4 years ago
- Hyperparameter optimization with approximate gradient☆65Updated 3 years ago
- ☆26Updated 8 years ago
- Randomized embeddings for extreme learning☆24Updated 8 years ago
- [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…☆78Updated 3 years ago
- Categorical Latent Gaussian Process☆16Updated 9 years ago