jamesrobertlloyd / automl-phase-2
1st place submission to the AutoML competition - phase 2
☆28Updated 9 years ago
Alternatives and similar repositories for automl-phase-2
Users that are interested in automl-phase-2 are comparing it to the libraries listed below
Sorting:
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- 2nd place submission to the AutoML competition - phase 1☆22Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- ☆36Updated 10 years ago
- Code for the arxiv paper☆9Updated 10 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
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- ☆46Updated 11 years ago
- ☆15Updated 9 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"☆20Updated 8 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- ☆30Updated 8 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- ☆25Updated 9 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Active learning for Big Data☆25Updated 6 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- ☆8Updated 10 years ago
- Implementations of matrix factorization or tensor factorization algorithms☆32Updated 9 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- MLSS 2016 material.☆22Updated 8 years ago