#

hyperparameter-tuning

Here are 361 public repositories matching this topic...

automl / auto-sklearn

Star

Open

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?

Read more

Good first issue

Open

Avoid costly re-building of pipelines

1

Open

convert to scikit learn code.

4

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 May 21, 2021
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 Jul 26, 2021
Python

DataCanvasIO / Hypernets

Star

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 Jul 22, 2021
Python

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 Feb 6, 2021
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 Jun 21, 2021
Jupyter Notebook

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 Jan 20, 2021
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 Jul 26, 2021
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

onepanel

onepanelio / onepanel

Star

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 Jul 22, 2021
Go

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 Jul 3, 2021
Jupyter Notebook

Neuraxle

Neuraxio / Neuraxle

Star

Open

Code Style: Improve Code Style

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

documentation good first issue invalid

Open

Bug: Non-Parent Inits called

Open

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

Find more good first issues →

evalml

alteryx / evalml

Star

Open

Our make_pipeline tests don't actually verify the pipeline is correct!

freddyaboulton commented Jul 26, 2021

I just noticed that test_make_pipeline_* doesn't actually assert the pipeline is correct! These tests could fail and we wouldn't know. Let's add the assert back in.

https://github.com/alteryx/evalml/blob/main/evalml/tests/pipeline_tests/test_pipeline_utils.py#L149
https://github.com/alteryx/evalml/blob/main/evalml/tests/pipeline_tests/test_pipeline_utils.py#L206
https://github.com/alteryx

Read more

bug good first issue testing

Open

Add label encoder to XGBoostClassifier

15

Open

Create a new component which selects using feature types

1

Find more good first issues →

WarBean / hyperboard

Star

A web-based dashboard for Deep Learning

visualization dashboard deep-learning training-curves hyperparameter-tuning

Updated Jun 4, 2017
JavaScript

facet

BCG-Gamma / facet

Star

Human-explainable AI.

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

Updated Jul 23, 2021
Jupyter Notebook

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

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 Jul 6, 2021
Python

rl-baselines3-zoo

DLR-RM / rl-baselines3-zoo

Star

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 Jul 20, 2021
Python

ppant / deeplearning.ai-notes

Star

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 Aug 23, 2020
Jupyter Notebook

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 Jul 26, 2021
Python

OCTIS

MIND-Lab / OCTIS

Star

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 Jul 26, 2021
Python

lettergram / sentence-classification

Sponsor Star

Sentence Classifications with Neural Networks

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

Updated May 21, 2021
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 May 21, 2021
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

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

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 Mar 7, 2021
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

ARM-software / mango

Star

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 Jul 5, 2021
Jupyter Notebook

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

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."