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hyperparameter-tuning

Here are 435 public repositories matching this topic...

automl / auto-sklearn

Open

`AutoML::fit_ensemble` with `ensemble_size =0` causes crash

4

eddiebergman commented Jan 10, 2022

It seems there is no validation on fit_ensemble when ensemble size is 0, causing an issue to appear as seen in #1327

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Good first issue maintenance

Open

Export asklearn2 predictions to improve start up time

Open

Update a component

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client

wandb / client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

data-science machine-learning reinforcement-learning deep-learning tensorflow keras collaboration pytorch hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning hyperparameter-search model-versioning mlops experiment-track ml-platform

Updated Feb 24, 2022
Python

scikit-optimize / scikit-optimize

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 Feb 3, 2022
Python

microsoft / forecasting

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 Feb 10, 2022
Python

determined-ai / determined

Determined: Deep Learning Training Platform

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

Updated Feb 24, 2022
Python

rl-baselines-zoo

araffin / rl-baselines-zoo

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

amanchadha / coursera-deep-learning-specialization

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 Feb 7, 2022
Jupyter Notebook

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

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

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

SMAC3

automl / SMAC3

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 Feb 24, 2022
Python

onepanelio / onepanel

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 Nov 15, 2021
Go

zygmuntz / hyperband

Tuning hyperparams fast with Hyperband

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

Updated Aug 15, 2018
Python

rl-baselines3-zoo

DLR-RM / rl-baselines3-zoo

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 Feb 23, 2022
Python

Neuraxle

Neuraxio / Neuraxle

Open

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

Open

Bug: Non-Parent Inits called

Open

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

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evalml

alteryx / evalml

Open

Revert changes to testing with new XGBoost release

chukarsten commented Feb 15, 2022

In #3324 , we had to mark some tests as expected to fail since XGBoost was throwing a FutureWarning. The warning has been addressed in XGBoost, so we're just waiting for the PR merged to be released. This issue is discussed in the #3275 issue.

evalml/tests/component_tests/test_xgboost_classifier.py needs to have the @pytest.mark.xfail removed f

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testing good first issue tech debt

Open

Review: is any critical info missing from automl logging?

2

Open

Improve implementation of ``NullDataCheck``

1

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facet

BCG-Gamma / facet

Human-explainable AI.

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

Updated Feb 24, 2022
Jupyter Notebook

ray-project / tune-sklearn

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 Dec 4, 2021
Python

WarBean / hyperboard

A web-based dashboard for Deep Learning

visualization dashboard deep-learning training-curves hyperparameter-tuning

Updated Jun 4, 2017
JavaScript

OCTIS

MIND-Lab / OCTIS

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

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

Updated Feb 20, 2022
Python

sherpa

sherpa-ai / sherpa

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

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

awslabs / adatune

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

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 Feb 24, 2022
Python

lettergram / sentence-classification

Sponsor

Sentence Classifications with Neural Networks

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

Updated Feb 10, 2022
Python

DataCanvasIO / Hypernets

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 Feb 24, 2022
Python

LGE-ARC-AdvancedAI / auptimizer

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 Feb 19, 2022
Python

MattKleinsmith / pbt

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

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

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

AutoML frAmework for Neural Networks

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

Updated Nov 1, 2018
Python

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