The Wayback Machine - https://web.archive.org/web/20201209102928/https://github.com/topics/hyperparameter-tuning

#

hyperparameter-tuning

Here are 252 public repositories matching this topic...

automl / auto-sklearn

Star

Open

Enable Power Transformations

1

mfeurer commented Feb 4, 2019

with the Power Transformer.

Read more

Good first issue

Open

TimeSeries Split

19

Open

Avoid costly re-building of pipelines

Find more good first issues →

microsoft / forecasting

Star

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 Nov 13, 2020
Python

determined-ai / determined

Star

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 Dec 9, 2020
Go

rl-baselines-zoo

araffin / rl-baselines-zoo

Star

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 Nov 21, 2020
Python

hyperparameter_hunter

HunterMcGushion / hyperparameter_hunter

Star

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 Oct 21, 2020
Python

zygmuntz / hyperband

Star

Tuning hyperparams fast with Hyperband

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

Updated Aug 15, 2018
Python

SMAC3

automl / SMAC3

Star

Sequential Model-based Algorithm Configuration

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

Updated Dec 8, 2020
Python

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

Star

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 Oct 27, 2020
Jupyter Notebook

WarBean / hyperboard

Star

A web-based dashboard for Deep Learning

visualization dashboard deep-learning training-curves hyperparameter-tuning

Updated Jun 4, 2017
JavaScript

Neuraxle

Neuraxio / Neuraxle

Star

Open

Documentation: document how to use the context and services for lazy data loading

guillaume-chevalier commented Nov 15, 2020

Is your feature request related to a problem? Please describe.
https://stackoverflow.com/questions/64477316/how-to-implement-a-repository-for-lazy-data-loading-with-neuraxle/64850395#64850395

Describe the solution you'd like
I provided an answer on the StackOverflow question above.

Additional context
We should edit the page [here](https://www.neuraxle.org/stable/intro.html#r

Read more

documentation good first issue

Open

Bug: Put testing files in the right testing package (same as the lib packages)

Open

Feature: Integrate with Orion?

Find more good first issues →

sherpa

sherpa-ai / sherpa

Star

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

awslabs / adatune

Star

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

Star

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 Dec 8, 2020
Python

ray-project / tune-sklearn

Star

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 Nov 26, 2020
Python

lettergram / sentence-classification

Sponsor Star

Sentence Classifications with Neural Networks

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

Updated Nov 13, 2020
Python

LGE-ARC-AdvancedAI / auptimizer

Star

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 Dec 4, 2020
Python

NVIDIA / Milano

Star

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

Star

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

CiscoAI / amla

Star

AutoML frAmework for Neural Networks

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

Updated Nov 1, 2018
Python

Alex-Lekov / AutoML_Alex

Star

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 Nov 23, 2020
Python

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

Sponsor Star

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

Updated May 6, 2018
Python

rl-baselines3-zoo

DLR-RM / rl-baselines3-zoo

Star

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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

Updated Dec 9, 2020
Python

ARM-software / mango

Star

Parallel Hyperparameter Optimization 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 Dec 4, 2020
Jupyter Notebook

openmole / mgo

Star

Purely functional genetic algorithms for multi-objective optimisation

scala functional-programming genetic-algorithm hyperparameters hyperparameter-optimization hyperparameter-tuning optimisation parameter-tuning

Updated Oct 2, 2020
Scala

evalml

alteryx / evalml

Star

Open

Allow X to be None in TimeSeriesRegressionPipeline

1

jeremyliweishih commented Dec 7, 2020

In previous EvalML pipelines we have always made the assumption that X cannot be None. However, with the addition of the TimeSeriesBaselineRegressor and plans to add more estimators that rely only on y (such as ARIMA, PROPHET) we can revise this assumption for TimeSeriesRegressionPipelines.

This issue keeps track of:

Removing the ValueError from TimeSeriesRegressionPipeline.fit a

Read more

enhancement good first issue

Open

Add GLM regressor and classifier

Open

Add GBM regressor and classifier

Find more good first issues →

amanchadha / coursera-deep-learning-specialization

Star

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 18, 2020
Jupyter Notebook

evhub / bbopt

Sponsor Star

Black box hyperparameter optimization made easy.

python hyperparameter-optimization hyperparameter-tuning coconut blackbox-optimization

Updated Dec 8, 2020
Python

logicalclocks / maggy

Star

Distribution transparent Machine Learning experiments on Apache Spark

spark hyperparameter-optimization hyperparameter-tuning automl hyperparameter-search blackbox-optimization ablation ablation-studies ablation-study

Updated Nov 15, 2020
Python

thuijskens / scikit-hyperband

Star

A scikit-learn compatible implementation of hyperband

machine-learning scikit-learn hyperparameter-optimization hyperparameter-tuning hyperband algorithm-configuration

Updated Nov 2, 2019
Python

gmontamat / gentun

Star

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

machine-learning rabbitmq genetic-algorithm keras cross-validation xgboost hyperparameter-optimization convolutional-neural-networks genetic-algorithms grid-search hyperparameter-tuning distributed-algorithm master-worker gene-encoding distributed-genetic-algorithm

Updated Oct 29, 2020
Python

Improve this page

Add a description, image, and links to the hyperparameter-tuning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the hyperparameter-tuning topic, visit your repo's landing page and select "manage topics."

You can’t perform that action at this time.