Projects in Awesome Lists tagged with hyperparameter-optimization

https://github.com/ray-project/ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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

Last synced: 29 Sep 2024

https://github.com/d2l-ai/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

book computer-vision data-science deep-learning gaussian-processes hyperparameter-optimization jax kaggle keras machine-learning mxnet natural-language-processing notebook python pytorch recommender-system reinforcement-learning tensorflow

Last synced: 29 Sep 2024

https://github.com/microsoft/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 29 Sep 2024

https://github.com/Microsoft/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 01 Aug 2024

https://github.com/optuna/optuna

A hyperparameter optimization framework

distributed hacktoberfest hyperparameter-optimization machine-learning parallel python

Last synced: 29 Sep 2024

https://github.com/epistasislab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 29 Sep 2024

https://github.com/EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 30 Jul 2024

https://epistasislab.github.io/tpot/

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 02 Aug 2024

https://github.com/rhiever/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 22 Aug 2024

https://github.com/wandb/wandb

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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

Last synced: 29 Sep 2024

https://github.com/automl/auto-sklearn

Automated Machine Learning with scikit-learn

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

Last synced: 29 Sep 2024

https://github.com/autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 29 Sep 2024

https://github.com/awslabs/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 27 Aug 2024

https://github.com/microsoft/flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 29 Sep 2024

https://github.com/microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 31 Jul 2024

https://github.com/polyaxon/polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

artificial-intelligence caffe data-science deep-learning hyperparameter-optimization jupyter jupyterlab k8s keras kubernetes machine-learning ml mlops mxnet notebook pipelines pytorch reinforcement-learning tensorflow workflow

Last synced: 29 Sep 2024

https://github.com/amanchadha/coursera-deep-learning-specialization

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

andrew-ng andrew-ng-course cnns convolutional-neural-network convolutional-neural-networks coursera coursera-assignment coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning neural-machine-translation neural-network neural-networks neural-style-transfer recurrent-neural-network recurrent-neural-networks regularization rnns

Last synced: 30 Sep 2024

https://github.com/mljar/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost

Last synced: 29 Sep 2024

https://github.com/determined-ai/determined

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

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

Last synced: 29 Sep 2024

https://github.com/keras-team/keras-tuner

A Hyperparameter Tuning Library for Keras

automl deep-learning hyperparameter-optimization keras machine-learning tensorflow

Last synced: 29 Sep 2024

https://github.com/scikit-optimize/scikit-optimize

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

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

Last synced: 26 Sep 2024

https://github.com/maxpumperla/hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperopt hyperparameter-optimization keras

Last synced: 29 Sep 2024

https://github.com/dlr-rm/rl-baselines3-zoo

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

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

Last synced: 30 Sep 2024

https://github.com/DLR-RM/rl-baselines3-zoo

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

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

Last synced: 02 Aug 2024

https://github.com/climbsrocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 26 Sep 2024

https://github.com/ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 01 Aug 2024

https://github.com/autonomio/talos

Hyperparameter Experiments with TensorFlow and Keras

artificial-intelligence deep-learning hyperparameter-optimization keras keras-tensorflow tensorflow

Last synced: 29 Sep 2024

https://github.com/google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier

Last synced: 29 Sep 2024

https://github.com/reiinakano/xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

automated-machine-learning data-science ensemble-learning hyperparameter-optimization machine-learning scikit-learn stacked-ensembles

Last synced: 29 Sep 2024

https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

artificial-neural-networks bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters

Last synced: 30 Sep 2024

https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

artificial-neural-networks bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperband hyperparameter-optimization hyperparameter-tuning knn machine-learning machine-learning-algorithms optimization particle-swarm-optimization python-examples python-samples random-forest random-search svm tuning-parameters

Last synced: 02 Aug 2024

https://github.com/SimonBlanke/Gradient-Free-Optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

bayesian-optimization blackbox-optimization constrained-optimization evolution-strategies gradient-free-optimization hill-climbing hyperactive hyperparameter-optimization machine-learning meta-heuristic nelder-mead optimization particle-swarm-optimization random-search simulated-annealing tree-of-parzen-estimator

Last synced: 01 Aug 2024

https://github.com/araffin/rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters openai openai-gym optimization pybullet reinforcement-learning rl stable-baselines zoo

Last synced: 03 Oct 2024

https://github.com/facebookexperimental/Robyn

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

adstocking budget-allocation cost-response-curve econometrics evolutionary-algorithm gradient-based-optimisation hyperparameter-optimization marketing-mix-modeling marketing-mix-modelling marketing-science mmm ridge-regression

Last synced: 31 Jul 2024

https://github.com/facebookexperimental/robyn

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

adstocking budget-allocation cost-response-curve econometrics evolutionary-algorithm gradient-based-optimisation hyperparameter-optimization marketing-mix-modeling marketing-mix-modelling marketing-science mmm ridge-regression

Last synced: 30 Sep 2024

https://github.com/automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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

Last synced: 01 Aug 2024

https://github.com/williamfalcon/test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

caffe caffe2 chainer data-science deep-learning grid-search hyperparameter-optimization keras machine-learning neural-networks pytorch random-search tensorflow

Last synced: 29 Sep 2024

https://github.com/williamFalcon/test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

caffe caffe2 chainer data-science deep-learning grid-search hyperparameter-optimization keras machine-learning neural-networks pytorch random-search tensorflow

Last synced: 31 Jul 2024

https://github.com/huntermcgushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost

Last synced: 26 Sep 2024

https://github.com/HunterMcGushion/hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost

Last synced: 02 Aug 2024

https://github.com/MIND-Lab/OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

bayesian-optimization evaluation-metrics hyperparameter-optimization hyperparameter-search hyperparameter-tuning latent-dirichlet-allocation latent-semantic-analysis natural-language-processing neural-topic-models nlp nlp-library nlproc non-negative-matrix-factorization topic-modeling topic-models

Last synced: 02 Aug 2024

https://github.com/automl/HpBandSter

a distributed Hyperband implementation on Steroids

automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search

Last synced: 01 Aug 2024

https://github.com/neuraxio/neuraxle

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.

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

Last synced: 26 Sep 2024

https://github.com/aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

automated-machine-learning automation automl evolutionary-algorithms fedot genetic-programming hyperparameter-optimization machine-learning multimodality parameter-tuning structural-learning

Last synced: 01 Aug 2024

https://github.com/nccr-itmo/FEDOT

Automated modeling and machine learning framework FEDOT

automated-machine-learning automation automl evolutionary-algorithms fedot genetic-programming hyperparameter-optimization machine-learning multimodality parameter-tuning structural-learning

Last synced: 27 Aug 2024

https://github.com/Neuraxio/Neuraxle

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.

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

Last synced: 01 Aug 2024

https://github.com/zygmuntz/hyperband

Tuning hyperparams fast with Hyperband

gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning

Last synced: 01 Aug 2024

https://hdi-project.github.io/ATM/

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

automl data-science distributed-computing hyperparameter-optimization machine-learning

Last synced: 03 Aug 2024

https://github.com/HDI-Project/ATM

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

automl data-science distributed-computing hyperparameter-optimization machine-learning

Last synced: 06 Aug 2024

https://github.com/SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 01 Aug 2024

https://github.com/microsoft/archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

automated-machine-learning automl darts deep-learning hyperparameter-optimization machine-learning model-compression nas neural-architecture-search petridish python pytorch

Last synced: 30 Sep 2024

https://github.com/lijqhs/deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

algorithms andrew-ng backpropagation bias-variance cnn coursera data-analysis data-science deep-learning deeplearning hyperparameter-optimization machine-learning neural-network notes overfitting sequence-models statistics summary tensorflow

Last synced: 01 Aug 2024

https://github.com/yzkang/My-Data-Competition-Experience

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

automl catboost data-science deep-learning feature-engineering feature-selection gan hyperparameter-optimization kaggle-competition lightgbm machine-learning model-fusion model-selection python sql tianchi-competition xgboost

Last synced: 02 Aug 2024

https://github.com/jmrichardson/tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

correlation finance hyperparameter-optimization machine-learning optimize optuna pareto-front stock-market stocks technical-analysis technical-indicators trading trading-systems tune

Last synced: 01 Aug 2024

https://github.com/syne-tune/syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning multi-objective-optimization neural-architecture-search sagemaker

Last synced: 01 Aug 2024

https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 08 Aug 2024

https://github.com/arm-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 26 Sep 2024

https://github.com/sherpa-ai/sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

bayesian-optimization deep-learning hyperparameter-grid hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning machine-learning-library

Last synced: 30 Sep 2024

https://github.com/leopard-ai/betty

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

artificial-intelligence autodiff automatic-differentiation bilevel-optimization deep-learning hyperparameter-optimization implicit-differentiation machine-learning meta-learning multilevel-optimization neural-architecture-search pytorch reinforcement-learning

Last synced: 02 Aug 2024

https://github.com/IBM/lale

Library for Semi-Automated Data Science

artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn

Last synced: 03 Aug 2024

https://github.com/ARM-software/mango

Parallel Hyperparameter Tuning in Python

bayesian-optimization blackbox-optimization cluster-deployment gaussian-processes hyperparameter-optimization hyperparameter-tuning keras-examples kubernetes-deployment machine-learning neural-network neural-networks parallel-computing production-system pytorch-compatible scipy-compatible sklearn-compatible tensorflow-examples tuning-parameters

Last synced: 02 Aug 2024

https://github.com/rodrigo-arenas/sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

artificial-intelligence automl begginer-friendly contributions-welcome deap evolutionary-algorithms feature-selection featureselection good-first-issue goodfirstissue help-wanted hyperparameter-optimization hyperparameters looking-for-contributors machine-learning model-selection python scikit-learn sklearn up-for-grabs

Last synced: 26 Sep 2024

https://github.com/thuijskens/bayesian-optimization

Python code for bayesian optimization using Gaussian processes

gaussian-processes hyperparameter-optimization optimization

Last synced: 09 Aug 2024

https://github.com/Epistimio/orion

Asynchronous Distributed Hyperparameter Optimization.

auto-ml deep-learning deep-neural-networks hyperparameter-optimization machine-learning research

Last synced: 03 Aug 2024

https://github.com/deephyper/deephyper

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

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

Last synced: 02 Oct 2024

https://github.com/DataCanvasIO/Hypernets

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

autodl automl enas evolutionary-algorithms hyperparameter-optimization hyperparameter-tuning keras mcts monte-carlo-tree-search nas nasnet neural-architecture-search reinforcement-learning

Last synced: 01 Aug 2024

https://github.com/DataCanvasIO/HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series

Last synced: 01 Aug 2024

https://github.com/wujian16/Cornell-MOE

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

bayesian bayesian-optimization gaussian-processes hyperparameter-optimization machine-learning optimization

Last synced: 02 Aug 2024

https://github.com/WenjieZ/TSCV

Time Series Cross-Validation -- an extension for scikit-learn

backtesting cross-validation data-science hyperparameter-optimization machine-learning model-selection time-series tuning-parameters

Last synced: 01 Aug 2024

https://github.com/alex-lekov/automl_alex

State-of-the art Automated Machine Learning python library for Tabular Data

auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost

Last synced: 26 Sep 2024

https://github.com/project-codeflare/codeflare

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

automl data-science hyperparameter-optimization machine-learning pipelines ray sklearn workflows

Last synced: 29 Sep 2024

https://github.com/Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost

Last synced: 05 Aug 2024

https://lge-arc-advancedai.github.io/auptimizer/

An automatic ML model optimization tool.

automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks

Last synced: 01 Aug 2024

https://github.com/LGE-ARC-AdvancedAI/auptimizer

An automatic ML model optimization tool.

automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks

Last synced: 03 Aug 2024

https://github.com/baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling

Last synced: 31 Jul 2024

https://github.com/lucfra/FAR-HO

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

gradient-descent hyperparameter-optimization optimization tensorflow

Last synced: 03 Aug 2024

https://github.com/MLBazaar/BTB

A simple, extensible library for developing AutoML systems

automl gaussian-processes hyperparameter-optimization multi-armed-bandit

Last synced: 03 Aug 2024

https://github.com/TUM-DAML/seml

SEML: Slurm Experiment Management Library

experiment-manager experiment-tracking hyperparameter-optimization orchestration slurm slurm-workload-manager utility

Last synced: 03 Aug 2024

https://github.com/gdikov/hypertunity

A toolset for black-box hyperparameter optimisation.

bayesian-optimization gpyopt hyperparameter-optimization slurm tensorboard

Last synced: 01 Aug 2024

https://github.com/automl/HPOBench

Collection of hyperparameter optimization benchmark problems

bayesian-optimization benchmark benchmarking containerized-benchmarks hyperparameter-optimization

Last synced: 01 Aug 2024

https://github.com/negrinho/deep_architect

A general, modular, and programmable architecture search framework

architecture-search auto-ml automatic-machine-learning colab colab-notebook deep-learning deep-neural-networks hyperparameter-optimization machine-learning neural-architecture-search neural-networks pytorch tensorflow

Last synced: 07 Aug 2024

https://github.com/AIworx-Labs/chocolate

A fully decentralized hyperparameter optimization framework

bayesian-optimization cmaes conditional-search-space hyperparameter-optimization optimization parallelism

Last synced: 03 Aug 2024

https://github.com/ili3p/HORD

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

deep-learning-algorithms hyperparameter-optimization

Last synced: 02 Aug 2024

https://github.com/layerai-archive/sdk

Metadata store for Production ML

collaboration data-science data-versioning deep-learning experiment-tracking hyperparameter-optimization hyperparameter-tuning keras machine-learning mlops model-versioning python pytorch reinforcement-learning sklearn tensorflow

Last synced: 26 Sep 2024

https://github.com/logicalclocks/maggy

Distribution transparent Machine Learning experiments on Apache Spark

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

Last synced: 30 Sep 2024

https://github.com/MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

chemprop compchem computational-chemistry explainability hyperparameter-optimization optuna peptide-modelling qsar qsar-models uncertainty-estimation

Last synced: 26 Sep 2024

https://github.com/gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

convolutional-neural-networks cross-validation distributed-algorithm distributed-genetic-algorithm gene-encoding genetic-algorithm genetic-algorithms grid-search hyperparameter-optimization hyperparameter-tuning keras machine-learning master-worker scikit-learn tensorflow xgboost

Last synced: 30 Sep 2024

https://github.com/microsoft/coml

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

automated-machine automl copilot data-science hyperparameter-optimization jupyter jupyter-lab large-language-models llm machine-learning

Last synced: 30 Sep 2024

https://github.com/openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

functional-programming genetic-algorithm hyperparameter-optimization hyperparameter-tuning hyperparameters optimisation parameter-tuning scala

Last synced: 04 Aug 2024

https://github.com/polyaxon/hypertune

A library for performing hyperparameter optimization

data-science deep-learning hyperparameter-optimization hyperparameter-tuning machine-learning mlops numpy scikit-learn workflow

Last synced: 26 Sep 2024

https://github.com/cerlymarco/keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

deep-learning hyperparameter-optimization keras tensorflow tensorflow-keras tf-keras tuning-parameters

Last synced: 30 Sep 2024

https://github.com/nomadic-ml/nomadic

Nomadic is an enterprise-grade toolkit for teams to continuously optimize compound AI systems

agents application compound-ai-systems data evaluation fine-tuning framework hyperparameter-optimization hyperparameter-search hyperparameter-tuning llms rag

Last synced: 26 Sep 2024

https://github.com/ar-nowaczynski/spaceopt

Hyperparameter optimization via gradient boosting regression

automl hyperparameter-optimization machine-learning python

Last synced: 03 Aug 2024

https://github.com/DataCanvasIO/Cooka

A lightweight and visual AutoML system

automated-feature-engineering automated-machine-learning automl data-science deep-learning hyperparameter-optimization machine-learning neural-network

Last synced: 03 Aug 2024

https://github.com/ucbrise/hypersched

Deadline-based hyperparameter tuning on RayTune.

distributed hyperparameter-optimization python pytorch ray

Last synced: 03 Aug 2024

https://github.com/minyus/optkeras

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

deep deep-learning hyperparameter-optimization hyperparameters keras neural-network optuna

Last synced: 27 Sep 2024

https://github.com/cTJakt/glaucus

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

automl deep-learning hyperparameter-optimization machine-learning react

Last synced: 03 Aug 2024