hyperparameter-search

Here are 65 public repositories matching this topic...

ray-project / ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

python java data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed model-selection hyperparameter-optimization ray automl hyperparameter-search serving rllib

Updated May 6, 2023
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 Apr 18, 2023
Python

wandb / wandb

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🔥 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 May 6, 2023
Python

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 Mar 31, 2023
Python

determined-ai / determined

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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 May 6, 2023
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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 Apr 27, 2023
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 May 5, 2023
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

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 May 3, 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 May 4, 2023
Python

deephyper / deephyper

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

python machine-learning deep-neural-networks deep-learning hpc tensorflow scalability keras ml pytorch hyperparameter-optimization uncertainty-quantification automl neural-architecture-search hyperparameter-search autodl multi-fidelity

Updated May 3, 2023
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