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The Top 23 Hyperparameter Tuning Open Source Projects

Open source projects categorized as Hyperparameter Tuning
Categories > Machine Learning > Hyperparameter Tuning
Nni ⭐ 13,725
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
dependent packages 27total releases 55most recent commit a month agopypi nni} Downloads
Wandb ⭐ 8,136
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
dependent packages 622total releases 266most recent commit 10 days agopypi wandb} Downloads
Auto Sklearn ⭐ 7,262
Automated Machine Learning with scikit-learn
dependent packages 24total releases 42most recent commit 4 months agopypi auto-sklearn} Downloads
Skypilot ⭐ 4,975
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
dependent packages 4total releases 32most recent commit 3 months agopypi skypilot} Downloads
Determined ⭐ 2,715
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
dependent packages 1total releases 221most recent commit 3 months ago
Scikit Optimize ⭐ 2,700
Sequential model-based optimization with a `scipy.optimize` interface
dependent packages 191total releases 19most recent commit 3 months agopypi scikit-optimize} Downloads
Forecasting ⭐ 2,540
Time Series Forecasting Best Practices & Examples
most recent commit a year ago
Coursera Deep Learning Specialization ⭐ 2,459
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
most recent commit 3 months ago
Rl Baselines3 Zoo ⭐ 1,640
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
dependent packages 2total releases 18most recent commit 3 months agopypi rl-zoo3} Downloads
Talos ⭐ 1,596
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
most recent commit 5 months ago
Xcessiv ⭐ 1,232
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
total releases 34most recent commit 6 years ago
Vizier ⭐ 1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
dependent packages 3total releases 35most recent commit 3 months agopypi google-vizier} Downloads
Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
most recent commit 2 years ago
Rl Baselines Zoo ⭐ 1,025
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
most recent commit 2 years ago
Smac3 ⭐ 938
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
dependent packages 1total releases 9most recent commit 4 months ago
Onepanel ⭐ 704
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.
dependent packages 1total releases 64most recent commit a year ago
Evalml ⭐ 679
EvalML is an AutoML library written in python.
dependent packages 5total releases 85most recent commit 3 months agopypi evalml} Downloads
Octis ⭐ 647
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
total releases 34most recent commit 4 months ago
Hyperparameter_hunter ⭐ 635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
total releases 16most recent commit 3 years ago
Neuraxle ⭐ 533
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.
dependent packages 1total releases 26most recent commit 2 years agopypi neuraxle} Downloads
Hyperband ⭐ 515
Tuning hyperparams fast with Hyperband
most recent commit 6 years ago
Facet ⭐ 483
Human-explainable AI.
total releases 27most recent commit 5 months ago
Tune Sklearn ⭐ 461
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
dependent packages 8total releases 24most recent commit 6 months agopypi tune-sklearn} Downloads
The 10 Most Depended On Hyperparameter Tuning Open Source Projects
Wandb ⭐ 8,136
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
dependent packages 622total releases 266latest release December 05, 2023most recent commit 10 days agopypi wandb} Downloads
Scikit Optimize ⭐ 2,700
Sequential model-based optimization with a `scipy.optimize` interface
dependent packages 191total releases 19latest release October 12, 2021most recent commit 3 months agopypi scikit-optimize} Downloads
Auto Sklearn ⭐ 7,262
Automated Machine Learning with scikit-learn
dependent packages 24total releases 42latest release September 20, 2022most recent commit 4 months agopypi auto-sklearn} Downloads
Mlprimitives ⭐ 67
Primitives for machine learning and data science.
dependent packages 11total releases 37latest release November 09, 2021most recent commit a year agopypi mlprimitives} Downloads
Irace ⭐ 53
Iterated Racing for Automatic Algorithm Configuration
dependent packages 6total releases 20latest release October 23, 2022most recent commit 3 months ago
Evalml ⭐ 679
EvalML is an AutoML library written in python.
dependent packages 5total releases 85latest release November 03, 2023most recent commit 3 months agopypi evalml} Downloads
The 10 Latest Releases In Hyperparameter Tuning Open Source Projects
Wandb ⭐ 8,136
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
dependent packages 622total releases 266latest release December 05, 2023most recent commit 10 days agopypi wandb} Downloads
Vizier ⭐ 1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
dependent packages 3total releases 35latest release November 30, 2023most recent commit 3 months agopypi google-vizier} Downloads
Facet ⭐ 483
Human-explainable AI.
total releases 27latest release November 15, 2023most recent commit 5 months ago
Mltb2 ⭐ 5
Machine Learning Toolbox 2
total releases 22latest release November 09, 2023most recent commit 3 months ago
Evalml ⭐ 679
EvalML is an AutoML library written in python.
dependent packages 5total releases 85latest release November 03, 2023most recent commit 3 months agopypi evalml} Downloads
Hypertune ⭐ 60
A library for performing hyperparameter optimization
dependent packages 2total releases 80latest release November 02, 2023most recent commit 3 months agopypi hypertune} Downloads
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