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erlendd/optomatic: Efficient distributed hyperparameter search library written in Python.
[14 commits @ 80 days - 6 days ago]
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bshahr/torch-dngo: Torch implementation of the Deep Network for Global Optimization (DNGO)
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automl/auto-sklearn: auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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HDI-Project/DeepMining: Auto-tuning Data Science Pipelines
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rhiever/dpot: A Python tool that automatically optimizes deep learning pipelines using genetic programming.
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jaak-s/nips2014-survey: Survey of hyperparameter optimization use in NIPS2014
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davidBelanger/tf-hypergrad: simple example of gradient-based hyperparameter optimization using tensorflow
[6 commits @ 77 days - 73 days ago]
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sigopt/sigopt-python: Simple Python interface for the SigOpt API
[199 commits @ 16 months - 4 days ago]
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sigopt/sigopt-examples: Optimization Examples with SigOpt
[120 commits @ 14 months - 17 days ago]
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abhishekkrthakur/automl_gpu: AutoML GPU Track Winning Solution
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scikit-optimize/scikit-optimize: A sandbox for blackbox optimization methods following the scipy.optimize interface
[100 commits @ 34 days - 57 hours ago]
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automl/RoBO: RoBO: a Robust Bayesian Optimization framework
[102 commits @ 18 months - 79 days ago]
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MechCoder/scikit-optimize: A sandmine for blackbox optimization methods following the scipy.optimize interface
[91 commits @ 30 days - 34 minutes ago]
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nicholas-leonard/drmad: Hyper-parameter Optimization with DrMAD and Hypero
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JasperSnoek/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 N
[111 commits @ 39 months - 53 days ago]
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hyperopt/hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python http://hyperopt.github.io/hyperopt
[750 commits @ 55 months - 4 months ago]
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Creator of MOE / SigOpt with thoughts on hyperparameter optimization
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bigaidream-projects/drmad: DrMAD: Distilling Reverse-Mode Automatic Differentiation
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HIPS/hypergrad: Exploring differentiation with respect to hyperparameters
[236 commits @ 13 months - 27 days ago]
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Element-Research/hypero
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automl/HPOlib: HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization packages: SMAC, spearmint and hyperopt http://automl.org/hpolib
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claesenm/optunity: optimization routines for hyperparameter tuning http://www.optunity.net
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