Topic: hyperparameter-tuning Goto Github

👇 Here are 964 public repositories matching this topic...

agilerl / agilerl
hyperparameter-tuning,Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Organization: agilerl
Home Page: https://agilerl.com
agilerl automl deep-learning deep-reinforcement-learning distributed evolutionary-algorithms gym hpo hyperparameter-optimization hyperparameter-tuning machine-learning mlops multi-agent multi-agent-reinforcement-learning pettingzoo python pytorch reinforcement-learning rlops training

alex-lekov / automl_alex
hyperparameter-tuning,State-of-the art Automated Machine Learning python library for Tabular Data
User: alex-lekov
automl auto-ml optimisation ml cross-validation xgboost stacking stacking-ensemble hyperparameter-optimization hyperparameter-tuning

alteryx / evalml
hyperparameter-tuning,EvalML is an AutoML library written in python.
Organization: alteryx
Home Page: https://evalml.alteryx.com
automl machine-learning data-science model-selection hyperparameter-tuning optimization feature-engineering feature-selection

amanchadha / coursera-deep-learning-specialization
hyperparameter-tuning,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
User: amanchadha
deep-learning coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks

ankit-kumar-saini / coursera_deep_learning_specialization
hyperparameter-tuning,Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
User: ankit-kumar-saini
neural-networks cnn-for-visual-recognition rnn-lstm transfer-learning hyperparameter-tuning structuring-ml-projects audio-processing voice-activity-detection coursera mlp

araffin / rl-baselines-zoo
hyperparameter-tuning,A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
User: araffin
Home Page: https://stable-baselines.readthedocs.io/
rl zoo reinforcement-learning stable-baselines openai-gym openai gym pybullet hyperparameters optimization

arm-software / mango
hyperparameter-tuning,Parallel Hyperparameter Tuning in Python
Organization: arm-software
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples

automl / auto-sklearn
hyperparameter-tuning,Automated Machine Learning with scikit-learn
Organization: automl
Home Page: https://automl.github.io/auto-sklearn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac

automl / smac3
hyperparameter-tuning,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Organization: automl
Home Page: https://automl.github.io/SMAC3/v2.0.2/
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest

awslabs / adatune
hyperparameter-tuning,Gradient based Hyperparameter Tuning library in PyTorch
Organization: awslabs
deep-learning pytorch automl hyperparameter-tuning learning-rate-scheduling machine-learning neural-networks

awslabs / renate
hyperparameter-tuning,Library for automatic retraining and continual learning
Organization: awslabs
Home Page: https://renate.readthedocs.io
aws continual-learning machine-learning machine-learning-algorithms neural neural-network pytorch pytorch-lightning sagemaker hyperparameter-tuning

awslabs / syne-tune
hyperparameter-tuning,Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Organization: awslabs
Home Page: https://syne-tune.readthedocs.io
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization sagemaker neural-architecture-search

bcg-x-official / facet
hyperparameter-tuning,Human-explainable AI.
Organization: bcg-x-official
Home Page: https://bcg-x-official.github.io/facet
data-science machine-learning python data-analytics model-selection hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition statistics

datacanvasio / hypernets
hyperparameter-tuning,A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Organization: datacanvasio
Home Page: https://hypernets.readthedocs.io/
autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning

determined-ai / determined
hyperparameter-tuning,Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Organization: determined-ai
Home Page: https://determined.ai
deep-learning machine-learning ml-platform ml-infrastructure hyperparameter-optimization hyperparameter-search distributed-training pytorch tensorflow hyperparameter-tuning

dlr-rm / rl-baselines3-zoo
hyperparameter-tuning,A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Organization: dlr-rm
Home Page: https://rl-baselines3-zoo.readthedocs.io
rl reinforcement-learning stable-baselines openai gym pybullet hyperparameter-optimization hyperparameter-tuning hyperparameter-search optimization

evhub / bbopt
hyperparameter-tuning,Black box hyperparameter optimization made easy.
User: evhub
python coconut hyperparameter-optimization hyperparameter-tuning blackbox-optimization

gmontamat / gentun
hyperparameter-tuning,Hyperparameter tuning for machine learning models using a distributed genetic algorithm
User: gmontamat
genetic-algorithm hyperparameter-tuning machine-learning xgboost rabbitmq master-worker hyperparameter-optimization grid-search keras convolutional-neural-networks

gmortuza / deep-learning-specialization
hyperparameter-tuning,This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
User: gmortuza
Home Page: https://www.coursera.org/specializations/deep-learning
deep-neural-networks deep-learning quizes hyperparameter-tuning coursera gradient-checking optimization transfer-learning cnn rnn

google-research / hyperbo
hyperparameter-tuning,Pre-trained Gaussian processes for Bayesian optimization
Organization: google-research
Home Page: https://arxiv.org/abs/2109.08215
bayesian-methods bayesian-optimization deep-learning hyperparameter-tuning machine-learning

google / vizier
hyperparameter-tuning,Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Organization: google
Home Page: https://oss-vizier.readthedocs.io
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing

guillaume-chevalier / hyperopt-keras-cnn-cifar-100
hyperparameter-tuning,Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
User: guillaume-chevalier
hyperopt hyperparameter-optimization hyperparameter-tuning hyperparameters-optimization hyperparameter-search keras cnn cnn-keras tensorflow

huntermcgushion / hyperparameter_hunter
hyperparameter-tuning,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
User: huntermcgushion
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost

ibm / lale
hyperparameter-tuning,Library for Semi-Automated Data Science
Organization: ibm
Home Page: https://lale.readthedocs.io
scikit-learn automl automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search python artificial-intelligence pipeline-tests pipeline-testing

jsingh811 / pyaudioprocessing
hyperparameter-tuning,Audio feature extraction and classification
User: jsingh811
audio-data feature-extraction classify classify-audio mfcc mfcc-features mfcc-extractor gfcc gfcc-features gfcc-extractor

kubeflow / katib
hyperparameter-tuning,Automated Machine Learning on Kubernetes
Organization: kubeflow
Home Page: https://www.kubeflow.org/docs/components/katib
ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops

layerai-archive / sdk
hyperparameter-tuning,Metadata store for Production ML
Organization: layerai-archive
Home Page: https://layer.ai
machine-learning collaboration data-science data-versioning deep-learning experiment-tracking hyperparameter-optimization hyperparameter-tuning keras mlops

lettergram / sentence-classification
hyperparameter-tuning,Sentence Classifications with Neural Networks
User: lettergram
Home Page: https://austingwalters.com/neural-networks-to-production-from-an-engineer/
sentence-classification hyperparameter-tuning fasttext cnn rnn neural-network

lge-arc-advancedai / auptimizer
hyperparameter-tuning,An automatic ML model optimization tool.
User: lge-arc-advancedai
Home Page: https://lge-arc-advancedai.github.io/auptimizer/
hyperparameter-optimization hpo hyperparameter-tuning deep-learning automl automated-machine-learning machine-learning neural-networks data-science data-engineering

liyanghart / hyperparameter-optimization-of-machine-learning-algorithms
hyperparameter-tuning,Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
User: liyanghart
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization

logicalclocks / maggy
hyperparameter-tuning,Distribution transparent Machine Learning experiments on Apache Spark
Organization: logicalclocks
Home Page: https://maggy.ai
hyperparameter-optimization hyperparameter-search automl ablation spark hyperparameter-tuning blackbox-optimization ablation-studies ablation-study

mattdl / clsurvey
hyperparameter-tuning,Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
User: mattdl
Home Page: https://ieeexplore.ieee.org/abstract/document/9349197
continual-learning tpami defy-forgetting classification-tasks deep-learning neural-networks framework hyperparameter-tuning inaturalist tinyimagenet

mattkleinsmith / pbt
hyperparameter-tuning,Population Based Training (in PyTorch with sqlite3). Status: Unsupported
User: mattkleinsmith
pbt hyperparameters population-based-training deep-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search deepmind

microsoft / nni
hyperparameter-tuning,An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Organization: microsoft
Home Page: https://nni.readthedocs.io
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science

mind-lab / octis
hyperparameter-tuning,OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Organization: mind-lab
topic-modeling latent-dirichlet-allocation latent-semantic-analysis evaluation-metrics natural-language-processing non-negative-matrix-factorization neural-topic-models bayesian-optimization hyperparameter-optimization hyperparameter-tuning

neuraxio / neuraxle
hyperparameter-tuning,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 environments.
Organization: neuraxio
Home Page: https://www.neuraxle.org/
pipeline pipeline-framework machine-learning deep-learning framework python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameters

nvidia / milano
hyperparameter-tuning,Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Organization: nvidia
deep-learning deep-neural-networks automl hyperparameter-tuning hyperparameter-optimization machine-learning

onepanelio / onepanel
hyperparameter-tuning,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.
Organization: onepanelio
Home Page: https://docs.onepanel.ai/
deeplearning pipelines machinelearning jupyterlab tensorflow pytorch tensorboard computer-vision mlops workflows

ppant / deeplearning.ai-notes
hyperparameter-tuning,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.
User: ppant
Home Page: http://pradeeppant.com
deep-learning machine-learning programming deep-learning-tutorial neural-networks hyperparameter-tuning optimization

ray-project / tune-sklearn
hyperparameter-tuning,A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Organization: ray-project
Home Page: https://docs.ray.io/en/master/tune/api_docs/sklearn.html
scikit-learn hyperparameter-tuning gridsearchcv bayesian-optimization automl

scikit-optimize / scikit-optimize
hyperparameter-tuning,Sequential model-based optimization with a `scipy.optimize` interface
Organization: scikit-optimize
Home Page: https://scikit-optimize.github.io
bayesopt optimization scientific-computing machine-learning hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning

sherpa-ai / sherpa
hyperparameter-tuning,Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
User: sherpa-ai
Home Page: http://parameter-sherpa.readthedocs.io/
hyperparameter-optimization deep-learning bayesian-optimization keras hyperparameter-tuning hyperparameter-search hyperparameter-grid machine-learning machine-learning-library

skypilot-org / skypilot
hyperparameter-tuning,SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
Organization: skypilot-org
Home Page: https://skypilot.readthedocs.io
cloud-computing data-science deep-learning gpu hyperparameter-tuning machine-learning tpu job-queue job-scheduler cloud-management

thomas-young-2013 / open-box
hyperparameter-tuning,Generalized and Efficient Blackbox Optimization System.
User: thomas-young-2013
Home Page: https://open-box.readthedocs.io
blackbox-optimization bayesian-optimization hyperparameter-tuning knobs-tuning multi-objective-optimization constrained-optimization automatic-machine-learning

thuijskens / scikit-hyperband
hyperparameter-tuning,A scikit-learn compatible implementation of hyperband
User: thuijskens
scikit-learn hyperband machine-learning hyperparameter-optimization hyperparameter-tuning algorithm-configuration

wandb / wandb
hyperparameter-tuning,🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Organization: wandb
Home Page: https://wandb.ai
machine-learning experiment-track deep-learning keras tensorflow pytorch hyperparameter-search reinforcement-learning mlops data-science

warbean / hyperboard
hyperparameter-tuning,A web-based dashboard for Deep Learning
User: warbean
deep-learning visualization dashboard training-curves hyperparameter-tuning

western-oc2-lab / automl-implementation-for-static-and-dynamic-data-analytics
hyperparameter-tuning,Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Organization: western-oc2-lab
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system iot iot-data-analytics machine-learning model-selection python-examples python-samples

williamlwj / pyxab
hyperparameter-tuning,PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
User: williamlwj
Home Page: https://pyxab.readthedocs.io/
algorithm bandit-algorithms blackbox-optimization optimization lipschitz-bandit hyperparameter-optimization hyperparameter-tuning reinforcement-learning data-science machine-learning-algorithms

zygmuntz / hyperband
hyperparameter-tuning,Tuning hyperparams fast with Hyperband
User: zygmuntz
Home Page: http://fastml.com/tuning-hyperparams-fast-with-hyperband/
hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting machine-learning