ofirnachum / uncertainty_gbmLinks
Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
☆26Updated 9 years ago
Alternatives and similar repositories for uncertainty_gbm
Users that are interested in uncertainty_gbm are comparing it to the libraries listed below
Sorting:
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- ☆15Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- Some experiments into explaining complex black box ensemble predictions.☆76Updated 5 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 2 months ago
- ☆58Updated 9 years ago
- ☆25Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- ☆36Updated 10 years ago
- Convex Polytope Machine☆25Updated 10 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- more composable than other neural network libraries☆42Updated 9 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Efficient distributed hyperparameter search library written in Python.☆74Updated 7 years ago
- National Data Science Bowl☆20Updated 10 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Dionis predictors blender☆10Updated 9 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago