#

hyperparameter-search

Here are 61 public repositories matching this topic...

ray-project / ray

Open

[Autoscaler] expose upscaling_speed and idle_timeout_minutes to values.yaml when using Helm

1

orcahmlee commented May 31, 2022

Description

The upscaling_speed and idle_timeout_minutes properties are useful and it already in RayCluster. However, it not ex

Read more

good first issue enhancement P2 infra

Open

[Docs] Add "Was this helpful?" button to our docs pages

3

Open

[AIR] Incorrect function names in `TorchTrainer` and `TensorflowTrainer` examples

3

Find more good first issues

automl / auto-sklearn

Open

Provide multi-class AUC ROC

mfeurer commented May 19, 2022

Scikit-learn provides multi-class options for area under curve: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html

We should provide the most common ones, such as the OVO Macro averaging used by Auto-Gluon.

Read more

enhancement Good first issue Need contributor

Open

Can Autosklearn handle Multi-Class/Multi-Label Classification and which classifiers will it use?

8

Open

Update a component

Find more good first issues

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 Jun 3, 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

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 Jun 2, 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

PaddlePaddle / PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

pruning quantization nas knowledge-distillation evolution-strategy model-compression neural-architecture-search hyperparameter-search autodl

Updated Jun 2, 2022
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 Jun 2, 2022
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 May 20, 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

Read more

good first issue invalid documentation

Open

Bug: Non-Parent Inits called

Open

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

Find more good first issues

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 May 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

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 Jun 2, 2022
Python

deephyper / deephyper

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

python deep-neural-networks tensorflow scalability keras ml neural-networks hyperparameter-optimization supercomputers automl neural-architecture-search hyperparameter-search autodl

Updated May 31, 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

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

Sponsor

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

vthorey / benderopt

Black-box optimization library

machine-learning deep-learning optimization automl hyperparameter-search mlops

Updated Jan 11, 2022
Jupyter Notebook

logicalclocks / maggy

Distribution transparent Machine Learning experiments on Apache Spark

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

Updated May 20, 2022
Python

rmccorm4 / Tiny-Imagenet-200

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

python anaconda imagenet convolutional-neural-networks hyperparameter-search tiny-imagenet200 tiny-imagenet

Updated Apr 12, 2019
Python

ChristophAlt / tuna

Hyperparameter search for AllenNLP - powered by Ray TUNE

tuna ray hyperparameter-tuning hyperparameter-search allennlp

Updated Oct 7, 2019
Python

ksachdeva / scikit-nni

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

tool scikit-learn sklearn hyperparameters automl scikit-learn-api hyperparameter-search sklearn-library nni neural-network-intelligence

Updated Oct 21, 2021
Python

ISG-Siegen / Auto-Surprise

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

machine-learning recommender-system hyperopt hyperparameter-tuning automl automated-machine-learning hyperparameter-search surprise tpe

Updated May 3, 2022
Python

floydhub / hyperparameters-search-examples

Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/

machine-learning deep-learning scikit-learn keras artificial-intelligence hyperparameter-search hyperas

Updated May 13, 2019
Jupyter Notebook

ahundt / sharpDARTS

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

computer-vision deep-learning pytorch neural-networks hyperparameter-optimization imagenet nas hyperparameter-tuning learning-rate cifar10 sota neural-architecture-search hyperparameter-search state-of-the-art architecture-search cosine-annealing learning-rate-scheduling differentiable-hyperparamter-search cosine-power-annealing power-cosine-annealing

Updated Feb 7, 2021
Python

hyeonsangjeon / Hyperparameters-Optimization

Hyperparameters-Optimization

optimization hyperparameter-optimization grid-search bayesian-optimization hyperparameter-tuning random-search hpo hyperparameter hyperparameter-search tpe gridsearchcv hyperband tree-structured randomsearchcv hyperbandsearchcv bayessearchcv fmin tree-of-parzen-estimator

Updated Nov 16, 2020
Jupyter Notebook

jonzia / NeuralNetStudio

Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).

gui matlab recurrent-networks hyperparameter-optimization rnn hyperparameter-tuning parallel-processing hyperparameter-search neural-network-architectures

Updated Dec 29, 2021
MATLAB

rtflynn / NLP-Sentiment

Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.

machine-learning natural-language-processing sentiment-analysis scikit-learn keras lstm nltk bag-of-words binary-classification tokenize sequence-models hyperparameter-search

Updated Sep 24, 2019
Python

DrMatters / hyperoptsearchcv

sklearn wrapper for Hyperopt

scikit-learn sklearn hyperopt hyperparameter-search

Updated Oct 9, 2019
Python

falcondai / coach

hyperparameter search for machine learning

cli machine-learning parallel hyperparameter-search

Updated Oct 31, 2017
Python

lovpatel93 / PIMA_Indian_Diabetes_DataSet

The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset

histogram feature-selection adaboost evaluation-metrics hyperparameter-search feature-importance random-forest-classifier pairplot randomized-search svc-svm

Updated Feb 22, 2019
Jupyter Notebook

Improve this page

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