Skip to content
#

hyperparameter-optimization

Star

Here are 486 public repositories matching this topic...

Language: All
Filter by language
All 486 Python 232 Jupyter Notebook 181 HTML 11 R 9 Julia 7 JavaScript 6 MATLAB 4 C++ 3 Java 3 Rust 3
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

ray-project / ray

Star
Find more good first issues →
nni

microsoft / nni

Star

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed feature-extraction hyperparameter-optimization feature-engineering nas bayesian-optimization automl automated-machine-learning model-compression neural-architecture-search deep-neural-network automated-feature-engineering
  • Updated Aug 27, 2021
  • Python

automl / auto-sklearn

Star
Open

Example fails while building doc

eddiebergman
eddiebergman commented Jul 29, 2021

Building the doc fails for example 40_advanced/example_single_configurations on the current development branch

Logs here

...
generating gallery for examples/40_advanced... [ 50%] example_debug_logging.py

Warning, treated as error:
/home/runner/work/auto-sklearn/auto-sklearn/examples/40_advanced/example_single_configu
Read more
bug Good first issue
Find more good first issues →

optuna / optuna

Star

awslabs / autogluon

Star
Gradient-Free-Optimizers

SimonBlanke / Gradient-Free-Optimizers

Star
Open

Grid search variant

6
SimonBlanke
SimonBlanke commented Mar 9, 2021

I think it would be useful to have a grid search optimizer in this package. But its implementation would probably be quite different from other ones (sklearn, ...).

The requirements are:

  • The grid search has to stop after n_iter instead of searching the entire search space
  • The positions should not be precalculated at the beginning of the optimization (i have concerns about memory load).
Read more
enhancement help wanted good first issue

guan-yuan / awesome-AutoML-and-Lightweight-Models

Star

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network
  • Updated Jun 19, 2021

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 Aug 19, 2021
  • Jupyter Notebook

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 Aug 22, 2021
  • Jupyter Notebook

HDI-Project / ATM

Star
Open

Avoid creating redundant datasets

bcyphers
bcyphers commented Jan 31, 2018

If enter_data() is called with the same train_path twice in a row and the data itself hasn't changed, a new Dataset does not need to be created.

We should add a column which stores some kind of hash of the actual data. When a Dataset would be created, if the metadata and data hash are exactly the same as an existing Dataset, nothing should be added to the ModelHub database and the existing

Read more
enhancement help wanted good first issue low priority
Neuraxle

Neuraxio / Neuraxle

Star
Open

Code Style: Improve Code Style

1
guillaume-chevalier
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

Read more
good first issue invalid documentation
Find more good first issues →

Improve this page

Add a description, image, and links to the hyperparameter-optimization 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-optimization topic, visit your repo's landing page and select "manage topics."

Learn more