hyperparameter-optimization

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ray-project /ray

Star38.1k

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

python data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed hyperparameter-optimization ray hyperparameter-search serving rllib large-language-models llm llm-serving llm-inference

UpdatedJul 18, 2025
Python

d2l-ai /d2l-en

Star26.3k

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

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

UpdatedAug 18, 2024
Python

microsoft /nni

Star14.2k

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

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

UpdatedJul 3, 2024
Python

optuna /optuna

Sponsor

Star12.3k

A hyperparameter optimization framework

python machine-learning parallel distributed hyperparameter-optimization

UpdatedJul 18, 2025
Python

wandb /wandb

Star10.1k

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

UpdatedJul 18, 2025
Python

EpistasisLab /tpot

Star9.9k

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

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

UpdatedJul 3, 2025
Jupyter Notebook

autogluon /autogluon

Star9.2k

Fast and Accurate ML in 3 Lines of Code

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

UpdatedJul 18, 2025
Python

automl /auto-sklearn

Sponsor

Star7.9k

Automated Machine Learning with scikit-learn

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

UpdatedJun 26, 2025
Python

microsoft /FLAML

Star4.2k

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

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

UpdatedJul 9, 2025
Jupyter Notebook

hibayesian /awesome-automl-papers

Star4.1k

A curated list of automated machine learning papers, articles, tutorials, slides and projects

hyperparameter-optimization automl neural-architecture-search automated-feature-engineering

UpdatedJun 11, 2024

amanchadha /coursera-deep-learning-specialization

Star3.8k

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 Network…

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

UpdatedJul 2, 2025
Jupyter Notebook

polyaxon /polyaxon

Star3.7k

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

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

UpdatedJul 6, 2025

mljar /mljar-supervised

Star3.2k

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

data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost mljar automl-api automl-python

UpdatedJul 7, 2025
Python

determined-ai /determined

Star3.2k

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