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hyperparameter-tuning

Here are 394 public repositories matching this topic...

automl / auto-sklearn

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TimeSeries Split

20

kanchanapadmanabhan commented Jun 26, 2018

The problem I want to use auto-sklearn on is a time-series. Can we modify sklearn to include cv with time series?

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Good first issue

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Avoid costly re-building of pipelines

1

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convert to scikit learn code.

4

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scikit-optimize / scikit-optimize

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

visualization machine-learning binder optimization scikit-learn scientific-visualization scientific-computing hyperparameter-optimization bayesopt gradient bayesian-optimization hacktoberfest hyperparameter-tuning hyperparameter hyperparameter-search sequential-recommendation

Updated Oct 19, 2021
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 25, 2021
Python

determined-ai / determined

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Determined: Deep Learning Training Platform

kubernetes machine-learning deep-learning tensorflow pytorch hyperparameter-optimization hyperparameter-tuning hyperparameter-search distributed-training ml-infrastructure ml-platform

Updated Oct 27, 2021
Python

DataCanvasIO / Hypernets

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A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

reinforcement-learning keras mcts hyperparameter-optimization evolutionary-algorithms nas monte-carlo-tree-search hyperparameter-tuning automl neural-architecture-search nasnet enas autodl

Updated Oct 26, 2021
Python

rl-baselines-zoo

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 Feb 6, 2021
Python

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

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Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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

Updated Aug 19, 2021
Jupyter Notebook

hyperparameter_hunter

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 Jan 20, 2021
Python

amanchadha / coursera-deep-learning-specialization

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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

deep-learning neural-network coursera recurrent-neural-networks neural-networks hyperparameter-optimization regularization convolutional-neural-networks neural-machine-translation coursera-machine-learning convolutional-neural-network hyperparameter-tuning andrew-ng coursera-assignment cnns rnns andrew-ng-course recurrent-neural-network neural-style-transfer coursera-specialization

Updated Oct 26, 2021
Jupyter Notebook

SMAC3

automl / SMAC3

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Sequential Model-based Algorithm Configuration

random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process algorithm-configuration

Updated Oct 21, 2021
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

onepanelio / onepanel

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The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

training ai computer-vision annotation etl tensorflow pipelines inference pytorch tensorboard jupyterlab machinelearning deeplearning labeling workflows hyperparameter-tuning aiops mlops

Updated Oct 26, 2021
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Neuraxle

Neuraxio / Neuraxle

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Code Style: Improve Code Style

1

guillaume-chevalier commented Jun 28, 2021

Describe the bug
Code could be more conform to pep8 and so forth.

To Reproduce
https://app.codacy.com/gh/Neuraxio/Neuraxle/issues?&filters=W3siaWQiOiJMYW5ndWFnZSIsInZhbHVlcyI6W119LHsiaWQiOiJDYXRlZ29yeSIsInZhbHVlcyI6WyJDb2RlU3R5bGUiXX0seyJpZCI6IkxldmVsIiwidmFsdWVzIjpbXX0seyJpZCI6IlBhdHRlcm4iLCJ2YWx1ZXMiOltdfSx7ImlkIjoiQXV0aG9yIiwidmFsdWVzIjpbXX1d

Expected behavior
Less code st

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good first issue invalid documentation

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Bug: Non-Parent Inits called

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Feature: HyperparametersSamples print in AutoML should exclude steps with no hyperparameter.

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evalml

alteryx / evalml

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Add util method to component graph to get components based on component class

angela97lin commented Oct 6, 2021

Right now, component_graph.get_component expects a string which is the unique name used to find a component in the graph (ex: "My Label Encoder", and not "Label Encoder"). This makes it difficult to find components of a specific class, ex LabelEncoder instances. We should add a method to help with this!

API should take into consideration what happens if we have multiple of the same component

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new feature good first issue

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Coordinate equivalent output from `component_dict` across list and dict inputs

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TypeError warning about PipelineBaseMeta

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rl-baselines3-zoo

DLR-RM / rl-baselines3-zoo

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A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

reinforcement-learning robotics optimization lab openai gym hyperparameter-optimization rl sde hyperparameter-tuning hyperparameter-search pybullet stable-baselines pybullet-environments tuning-hyperparameters

Updated Oct 23, 2021
Python

facet

BCG-Gamma / facet

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Human-explainable AI.

python data-science machine-learning statistics simulation model-selection data-analytics hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition

Updated Oct 22, 2021
Jupyter Notebook

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

ray-project / tune-sklearn

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A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

scikit-learn bayesian-optimization hyperparameter-tuning automl gridsearchcv

Updated Oct 18, 2021
Python

sherpa

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 Oct 18, 2020
JavaScript

ppant / deeplearning.ai-notes

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These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

machine-learning programming deep-learning optimization neural-networks deep-learning-tutorial hyperparameter-tuning

Updated Oct 19, 2021
Jupyter Notebook

OCTIS

MIND-Lab / OCTIS

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OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

natural-language-processing hyperparameter-optimization topic-modeling bayesian-optimization hyperparameter-tuning latent-dirichlet-allocation evaluation-metrics neural-topic-models latent-semantic-analysis topic-models hyperparameter-search non-negative-matrix-factorization

Updated Sep 29, 2021
Python

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

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 Oct 27, 2021
Python

lettergram / sentence-classification

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Sentence Classifications with Neural Networks

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

Updated Aug 25, 2021
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 Aug 25, 2021
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

Alex-Lekov / AutoML_Alex

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State-of-the art Automated Machine Learning python library for Tabular Data

python data-science machine-learning sklearn cross-validation ml model-selection xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning optimisation automl stacking auto-ml machine-learning-models automatic-machine-learning data-science-projects stacking-ensemble

Updated Mar 7, 2021
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

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

ARM-software / mango

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Parallel Hyperparameter Tuning in Python

machine-learning neural-network parallel-computing neural-networks hyperparameter-optimization tuning-parameters gaussian-processes bayesian-optimization hyperparameter-tuning cluster-deployment sklearn-compatible kubernetes-deployment tensorflow-examples blackbox-optimization production-system keras-examples scipy-compatible pytorch-compatible

Updated Sep 16, 2021
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