hyperparameter-search

Here are 73 public repositories matching this topic...

ray-project / ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Updated Nov 23, 2024
Python

wandb / wandb

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The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

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

Updated Nov 23, 2024
Python

automl / auto-sklearn

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Automated Machine Learning with scikit-learn

scikit-learn hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning smac meta-learning hyperparameter-search metalearning

Updated Nov 15, 2024
Python

determined-ai / determined

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Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

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

Updated Nov 22, 2024
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scikit-optimize / scikit-optimize

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Sequential model-based optimization with a `scipy.optimize` interface

visualization machine-learning binder optimization scikit-learn scientific-visualization scientific-computing hyperparameter-optimization bayesopt bayesian-optimization hacktoberfest hyperparameter-tuning hyperparameter hyperparameter-search sequential-recommendation

Updated Feb 23, 2024
Python

DLR-RM / rl-baselines3-zoo

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A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

reinforcement-learning robotics optimization lab deep-reinforcement-learning pytorch openai gym hyperparameter-optimization rl sde hyperparameter-tuning hyperparameter-search pybullet stable-baselines pybullet-environments tuning-hyperparameters

Updated Nov 19, 2024
Python

araffin / rl-baselines-zoo

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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 Oct 17, 2022
Python

automl / SMAC3

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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process algorithm-configuration

Updated Nov 22, 2024
Python

MIND-Lab / OCTIS

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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 Jul 25, 2024
Python

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps enviro…

machine-learning framework deep-learning pipeline scikit-learn python-library parallel pipeline-framework hyperparameters hyperparameter-optimization hyperparameter-tuning hyperparameter-search neuraxle

Updated May 1, 2023
Python

sherpa-ai / sherpa

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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

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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 Sep 16, 2024
Python

MattKleinsmith / pbt

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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

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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