sigopt / MOELinks
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
Sorting:
- A domain-general, Bayesian method for analyzing high-dimensional data tables☆325Updated last year
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- Latent dirichlet allocation (LDA) for datamicroscopes☆41Updated 9 years ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 10 years ago
- A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself. New implementa…☆890Updated 9 years ago
- A library that allows serialization of SciKit-Learn estimators into PMML☆70Updated 5 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- lightweight python wrapper for vowpal wabbit☆168Updated 5 years ago
- Optimization Examples with SigOpt☆200Updated last year
- Model assisted random sampling.☆119Updated 4 years ago
- Validation and prediction code for numer.ai☆150Updated 7 years ago
- Density Based Clustering (DeBaCl) Toolbox☆101Updated 4 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 11 years ago
- Python solver for mixed-effects models☆97Updated last month
- Second place solution for Facebook V competition on Kaggle☆77Updated 8 years ago
- Uncertainty quantification book chapter☆50Updated 9 years ago
- A parallel IRWLS library to solve SVMs and budgeted SVMs☆59Updated 7 years ago
- Compiled Decision Trees for scikit-learn☆224Updated 2 months ago
- Quick informal survey at the Los Angeles Machine learning meetup about tools used for machine learning.☆51Updated 10 years ago
- Python forecasting and smoothing library☆67Updated 6 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 7 years ago
- Docker container with a PyData stack and JupyterHub server☆37Updated 9 years ago
- Automating image builds for deep learning based applications since 2016☆51Updated 8 years ago
- A R/Shiny app for interactive RNN tensorflow models☆118Updated 8 years ago
- Algorithm's team Jupyter Notebooks☆113Updated last month
- A Topic Modeling toolbox☆92Updated 9 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago