ml-squad Goto Github PK

automl-phase-1

2nd place submission to the AutoML competition - phase 1

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

clgp

Categorical Latent Gaussian Process

configspace

cornell-moe

A Python library for the state-of-the-art parallel Bayesian optimization algorithms, with the core implemented in C++.

george

Fast and flexible Gaussian Process regression in Python

gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

harmonica

Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.

hpbandster

a distributed Hyperband implementation on Steroids

hpolibconfigspace

hyperband

Tuning hyperparams fast with Hyperband

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

icml-2017-papers

https://2017.icml.cc/Conferences/2017/Schedule

machine-learning-examples

mf-gp-ucb

Multi-fidelity Gaussian Process Bandit Optimisation

multi-fidelity-gp

nips2017

Multi-Information Source Optimization

nn-bayesian-optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

parameterconfigspace

parameter configuration space parser for SMAC format

random_forest_run

ray

A high-performance distributed execution engine

robo

RoBO: a Robust Bayesian Optimization framework

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

smac3

Sequential Model-based Algorithm Configuration

spearmint-1

Spearmint Bayesian optimization codebase

tensorflow

Cloned & based on tensorflow: some new features are prepared to be added