sigopt / MOE
A global, black box optimization engine for real world metric optimization.
☆66Updated 10 years ago
Alternatives and similar repositories for MOE:
Users that are interested in MOE are comparing it to the libraries listed below
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 9 years ago
- Latent dirichlet allocation (LDA) for datamicroscopes☆40Updated 9 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Creates models to classify documents into categories☆66Updated 7 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- ☆35Updated 10 years ago
- Simple Python interface for the SigOpt API☆70Updated 2 weeks ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- A library that allows serialization of SciKit-Learn estimators into PMML☆70Updated 5 years ago
- A simple example of containerized data science with python and Docker.☆51Updated 7 years ago
- Second place solution for Facebook V competition on Kaggle☆77Updated 8 years ago
- A domain-general, Bayesian method for analyzing high-dimensional data tables☆324Updated last year
- Density Based Clustering (DeBaCl) Toolbox☆101Updated 4 years ago
- Python solver for mixed-effects models☆98Updated 7 years ago
- Optimization Examples with SigOpt☆199Updated 10 months ago
- Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.☆69Updated 10 years ago
- Scikit learn inspired library for gpu-accelerated machine learning☆38Updated 2 years ago
- Validation and prediction code for numer.ai☆150Updated 7 years ago
- A R/Shiny app for interactive RNN tensorflow models☆118Updated 8 years ago
- Deep learning for hackers: a hands-on approach to machine learning and deep learning.☆68Updated 10 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Model assisted random sampling.☆120Updated 4 years ago
- Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015☆37Updated 9 years ago
- Uncertainty quantification book chapter☆50Updated 9 years ago
- Introduction tutorials to deep learning with Theano and OpenDeep☆51Updated 9 years ago
- Bayesian supervised learning in Python☆21Updated 9 years ago
- Estimating stock price correlations using Wikipedia☆25Updated 8 years ago
- Code for Learning with Data Blog☆64Updated 8 years ago