Pinned Repositories
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
auto-sklearn
Automated Machine Learning with scikit-learn
autoweka
Auto-WEKA
awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
HpBandSter
a distributed Hyperband implementation on Steroids
HPOBench
Collection of hyperparameter optimization benchmark problems
NASLib
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
RoBO
RoBO: a Robust Bayesian Optimization framework
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
AutoML-Freiburg-Hannover's Repositories
automl/sgmcmc
Stochastic Gradient MCMC algorithms implemented in theano (and autograd)
automl/pysmac
simple python interface to SMAC.
automl/labwatch
An extension to Sacred for automated hyperparameter optimization.
automl/pylearningcurvepredictor
predicting learning curves in python
automl/multibeep
A Multi Armed Bandit library written in C++ with Python bindings
automl/HPOlibConfigSpace
automl/ChaLearn_Automatic_Machine_Learning_Challenge_2015
automl/ParameterConfigSpace
parameter configuration space parser for SMAC format
automl/HPOlib-hpnnet
automl/paramsklearn
automl/HPOlib-logreg
automl/HPOlib-AutoWEKA
automl/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
automl/pyautoweka
AutoWeka for python
automl/HPOlib-hpconvnet
A wrapper for James Bergstras hyperopt convnet