automl / auto-sklearn

Automated Machine Learning with scikit-learn

scikit-learn hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning smac meta-learning hyperparameter-search metalearning

Updated Aug 12, 2020
Python

microsoft / forecasting

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Time Series Forecasting Best Practices & Examples

python machine-learning r deep-learning time-series best-practices jupyter-notebook tidyverse artificial-intelligence forecasting lightgbm retail prophet hyperparameter-tuning demand-forecasting automl model-deployment azure-ml dilated-cnn

Updated Aug 6, 2020
Python

araffin / rl-baselines-zoo

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A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

reinforcement-learning optimization openai-gym hyperparameters openai gym hyperparameter-optimization rl zoo hyperparameter-tuning hyperparameter-search pybullet stable-baselines

Updated Aug 4, 2020
Python

HunterMcGushion / hyperparameter_hunter

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Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

python data-science machine-learning ai deep-learning neural-network optimization scikit-learn sklearn keras ml artificial-intelligence xgboost hyperparameter-optimization experimentation lightgbm feature-engineering hyperparameter-tuning catboost rgf

Updated Jul 19, 2020
Python

zygmuntz / hyperband

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Tuning hyperparams fast with Hyperband

machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting

Updated Aug 15, 2018
Python

automl / SMAC3

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Sequential Model-based Algorithm Configuration

configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation algorithm-configuration

Updated Aug 12, 2020
Python

WarBean / hyperboard

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A web-based dashboard for Deep Learning

visualization dashboard deep-learning training-curves hyperparameter-tuning

Updated Jun 4, 2017
JavaScript

Neuraxio / Neuraxle

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A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

machine-learning framework deep-learning pipeline scikit-learn python-library parallel pipeline-framework hyperparameters hyperparameter-optimization hyperparameter-tuning hyperparameter-search neuraxle

Updated Aug 9, 2020
Python

sherpa-ai / sherpa

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Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

machine-learning deep-learning keras hyperparameter-optimization machine-learning-library bayesian-optimization hyperparameter-tuning hyperparameter-search hyperparameter-grid

Updated Aug 6, 2020
JavaScript

awslabs / adatune

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Gradient based Hyperparameter Tuning library in PyTorch

machine-learning deep-learning pytorch neural-networks hyperparameter-tuning automl learning-rate-scheduling

Updated Jul 17, 2020
Python

lettergram / sentence-classification

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Sentence Classifications with Neural Networks

neural-network cnn rnn sentence-classification fasttext hyperparameter-tuning

Updated Mar 24, 2020
Python

LGE-ARC-AdvancedAI / auptimizer

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An automatic ML model optimization tool.

data-science machine-learning deep-learning data-engineering neural-networks hyperparameter-optimization hyperparameter-tuning hpo automl automated-machine-learning

Updated Jul 28, 2020
Python

NVIDIA / Milano

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Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

machine-learning deep-neural-networks deep-learning hyperparameter-optimization hyperparameter-tuning automl

Updated Nov 7, 2018
Python

MattKleinsmith / pbt

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Population Based Training (in PyTorch with sqlite3). Status: Unsupported

deep-learning hyperparameters hyperparameter-optimization deepmind hyperparameter-tuning pbt hyperparameter-search population-based-training

Updated Jan 31, 2018
Python

IBM / lale

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Library for Semi-Automated Data Science

python data-science machine-learning scikit-learn artificial-intelligence interoperability hyperparameter-optimization hyperparameter-tuning ibm-research automl automated-machine-learning dataquality hyperparameter-search ibm-research-ai pipeline-tests pipeline-testing

Updated Aug 11, 2020
Python

CiscoAI / amla

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AutoML frAmework for Neural Networks

deep-learning tensorflow pytorch neural-networks image-classification hyperparameter-tuning automl neural-architecture-search

Updated Nov 1, 2018
Python

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

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Implementation of many hyperparameter optimization/tuning methods for machine learning algorithms in Python (easy&clear)

machine-learning random-forest optimization svm genetic-algorithm sklearn machine-learning-algorithms hyperparameter-optimization grid-search tuning-parameters knn bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo python-examples python-samples hyperband

Updated Aug 10, 2020
Jupyter Notebook

ray-project / tune-sklearn

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A scikit-learn API on RayTune

scikit-learn hyperparameter-tuning

Updated Aug 8, 2020
Python

guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100

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Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

tensorflow keras cnn hyperparameter-optimization hyperopt hyperparameters-optimization hyperparameter-tuning cnn-keras hyperparameter-search