GitHub topics: hyperparameter-optimization
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 86.9 MB - Last synced at: about 1 hour ago - Pushed at: 2 days ago - Stars: 9,901 - Forks: 1,578
okita871/determined
Build customized JSON and HCL Unmarshaler with Determined hcl, json
Language: Go - Size: 119 KB - Last synced at: about 17 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0
mnochtioui/House-Prices---Advanced-Regression-Techniques
Detailed walkthrough of a data science project for the Kaggle House Prices challenge, covering data cleaning, EDA, feature engineering, and regression modeling.
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 19 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 42 minutes ago - Pushed at: 4 months ago - Stars: 7,823 - Forks: 1,298
MetaEvo/MetaBox
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
Language: Python - Size: 370 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 119 - Forks: 12
polyaxon/cli
Polyaxon Core Client & CLI to streamline MLOps
Language: Python - Size: 4.53 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 19 - Forks: 18
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Language: Python - Size: 3.79 MB - Last synced at: 1 day ago - Pushed at: 18 days ago - Stars: 2,408 - Forks: 550
rnburn/bbai
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
Language: Python - Size: 1.13 GB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 62 - Forks: 2
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
Language: Jupyter Notebook - Size: 206 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3,649 - Forks: 2,501
ytopt-team/ytopt
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
Language: C - Size: 25.7 MB - Last synced at: about 4 hours ago - Pushed at: about 2 months ago - Stars: 47 - Forks: 17
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.
Language: Python - Size: 303 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 25,764 - Forks: 4,619
Tunny-gh/Tunny_in_Open_Sea 📦
Tunny with version 0. It is open source.
Language: C# - Size: 7 MB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 69 - Forks: 8
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 155 MB - Last synced at: 3 days ago - Pushed at: 14 days ago - Stars: 1,155 - Forks: 234
openml-labs/gama
An automated machine learning tool aimed to facilitate AutoML research.
Language: Python - Size: 133 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 98 - Forks: 31
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Language: Python - Size: 4.69 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1,560 - Forks: 100
milagjurovska/PPI-link-prediction-with-optimized-gcn-and-gan
Comparing different biologically inspired algorithms in hyperparameter tuning in GCN and GAN models for link prediction in a protein-protein interaction network.
Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Language: Python - Size: 10.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 403 - Forks: 52
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.
Language: Go - Size: 198 MB - Last synced at: 4 days ago - Pushed at: about 2 months ago - Stars: 3,141 - Forks: 364
microsoft/nni 📦
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Language: Python - Size: 127 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 14,185 - Forks: 1,820
TUM-DAML/seml
SEML: Slurm Experiment Management Library
Language: Python - Size: 1.51 MB - Last synced at: 3 days ago - Pushed at: 6 months ago - Stars: 181 - Forks: 31
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
Language: Python - Size: 1.93 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 2,880 - Forks: 398
thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Language: Python - Size: 63 MB - Last synced at: 1 day ago - Pushed at: over 3 years ago - Stars: 59 - Forks: 28
Aashir01124/Neural-Network-Modifications-Hyperparameter-Experiments
Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.
Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Language: Jupyter Notebook - Size: 206 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 4,119 - Forks: 534
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Language: Python - Size: 514 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 36,881 - Forks: 6,257
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Language: Python - Size: 21.9 MB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 8,793 - Forks: 1,010
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Language: Python - Size: 38.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,228 - Forks: 91
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python - Size: 30.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 517 - Forks: 48
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Language: Python - Size: 171 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 9,832 - Forks: 736
optuna/optuna
A hyperparameter optimization framework
Language: Python - Size: 19.9 MB - Last synced at: 6 days ago - Pushed at: 9 days ago - Stars: 11,869 - Forks: 1,090
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.
Language: Python - Size: 8.16 MB - Last synced at: 2 days ago - Pushed at: 8 days ago - Stars: 611 - Forks: 62
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
Language: Python - Size: 25.9 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 232 - Forks: 43
microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Language: Python - Size: 48.3 MB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 476 - Forks: 89
automl/neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Language: Python - Size: 22.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 76 - Forks: 17
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Language: Python - Size: 60.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 748 - Forks: 62
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Size: 121 MB - Last synced at: 3 days ago - Pushed at: 19 days ago - Stars: 3,633 - Forks: 316
Lemniscate-world/Neural
Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.
Language: HTML - Size: 501 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 13 - Forks: 1
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
Language: Python - Size: 225 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 666 - Forks: 87
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 414 - Forks: 48
rick12000/confopt
A Library for Conformal Hyperparameter Tuning
Language: Python - Size: 415 KB - Last synced at: about 8 hours ago - Pushed at: 6 days ago - Stars: 30 - Forks: 2
DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Language: Python - Size: 7.62 MB - Last synced at: about 21 hours ago - Pushed at: 25 days ago - Stars: 274 - Forks: 30
kiudee/chess-tuning-tools
A collection of scripts aimed at efficiently tuning chess engine parameters.
Language: Python - Size: 992 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 55 - Forks: 14
Leox2f/credit_card_customer_segmentation
Customer segmentation analysis on credit card users to identify distinct customer groups based on their behavior and characteristics. The analysis uses unsupervised machine learning techniques, specifically K-means clustering, to group customers into meaningful segments.
Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
sile/tpe
A TPE (Tree-structured Parzen Estimator) implementation in Rust
Language: Rust - Size: 52.7 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 29 - Forks: 6
Axect/pytorch_template
A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.
Language: Python - Size: 152 KB - Last synced at: 3 days ago - Pushed at: 12 days ago - Stars: 9 - Forks: 1
automl/hposuite
A lightweight framework for benchmarking HPO algorithms
Language: Python - Size: 628 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0
klieret/wandb-offline-sync-hook
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Language: Python - Size: 242 KB - Last synced at: 4 days ago - Pushed at: 6 days ago - Stars: 78 - Forks: 7
WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
Language: Python - Size: 224 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 255 - Forks: 42
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Size: 16.8 MB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 4,081 - Forks: 691
SarodYatawatta/smart-calibration
Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
Language: Python - Size: 5.29 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 6 - Forks: 0
eigenein/rust-hyperopt
Tree-of-Parzen-estimators hyperparameter optimization
Language: Rust - Size: 114 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0
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.
Language: Jupyter Notebook - Size: 392 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1,282 - Forks: 388
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Language: Python - Size: 168 MB - Last synced at: 14 days ago - Pushed at: 10 months ago - Stars: 758 - Forks: 111
gilad-rubin/hypster
HyPSTER - HyperParameter optimization on STERoids
Language: Python - Size: 9.62 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 48 - Forks: 2
project-codeflare/codeflare
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 232 - Forks: 36
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
Language: Python - Size: 49.2 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 293 - Forks: 50
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
Language: Python - Size: 370 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 416 - Forks: 70
optuna/optuna-examples
Examples for https://github.com/optuna/optuna
Language: Python - Size: 3.15 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 746 - Forks: 182
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Language: Python - Size: 9.44 MB - Last synced at: 18 days ago - Pushed at: 27 days ago - Stars: 3,144 - Forks: 419
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Language: Jupyter Notebook - Size: 122 KB - Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 576 - Forks: 73
machinelearningnuremberg/HPO-B
[NeurIPS DBT 2021] HPO-B
Language: Python - Size: 10.8 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 30 - Forks: 8
polyaxon/hypertune
A library for performing hyperparameter optimization
Language: Python - Size: 118 MB - Last synced at: 12 days ago - Pushed at: 19 days ago - Stars: 63 - Forks: 9
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
Language: TypeScript - Size: 16 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 605 - Forks: 94
IBM/lale
Library for Semi-Automated Data Science
Language: Python - Size: 40.8 MB - Last synced at: 4 days ago - Pushed at: 20 days ago - Stars: 335 - Forks: 80
kruize/autotune
Autonomous Performance Tuning for Kubernetes!
Language: Java - Size: 8.91 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 203 - Forks: 59
cog-imperial/entmoot
Multiobjective black-box optimization using gradient-boosted trees
Language: Python - Size: 993 KB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 58 - Forks: 12
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Language: Jupyter Notebook - Size: 235 KB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 1,291 - Forks: 303
bharathgs/Awesome-Distributed-Deep-Learning
A curated list of awesome Distributed Deep Learning resources.
Size: 53.7 KB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 421 - Forks: 85
nestordemeure/Simplers
Rust implementation of the Simple(x) Global Optimization algorithm
Language: Rust - Size: 79.1 KB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 34 - Forks: 4
automl/hpoglue
HPO tool with a modular API that allows for the easy interfacing of a new Optimizer and a new Benchmark
Language: Python - Size: 158 KB - Last synced at: 3 days ago - Pushed at: 24 days ago - Stars: 4 - Forks: 0
automl/HpBandSter
a distributed Hyperband implementation on Steroids
Language: Python - Size: 7.17 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 616 - Forks: 107
jakob-r/mlrHyperopt 📦
Easy Hyper Parameter Optimization with mlr and mlrMBO.
Language: HTML - Size: 2.04 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 6
tohtsky/irspack
Train, evaluate, and optimize implicit feedback-based recommender systems.
Language: Python - Size: 733 KB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 30 - Forks: 9
rishiraj/autolgbm
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
Language: Python - Size: 1.06 MB - Last synced at: 17 days ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 5
deephyper/deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
Language: Python - Size: 44.3 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 288 - Forks: 61
scikit-optimize/scikit-optimize 📦
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 8.99 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 2,766 - Forks: 552
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
Language: Python - Size: 27.6 MB - Last synced at: 14 days ago - Pushed at: about 4 years ago - Stars: 393 - Forks: 68
HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Language: Python - Size: 7.27 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 706 - Forks: 101
sambo-optimization/sambo
🎯📈 Sequantial and model-based optimization
Language: Python - Size: 108 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 14 - Forks: 0
DataCanvasIO/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Language: Python - Size: 17.8 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 267 - Forks: 41
david-thrower/cerebros-core-algorithm-alpha
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Language: Jupyter Notebook - Size: 56.6 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 27 - Forks: 3
klieret/ray-tune-stoppers-contrib
Additional stoppers for ray tune
Language: Python - Size: 136 KB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1
plandes/datdesc
Describe and optimize data
Language: Python - Size: 344 KB - Last synced at: 18 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
Language: R - Size: 13.3 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 25 - Forks: 1
arsedler9/lfads-torch
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Language: Jupyter Notebook - Size: 32 MB - Last synced at: 30 days ago - Pushed at: 3 months ago - Stars: 97 - Forks: 23
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Language: Python - Size: 13.8 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 126 - Forks: 30
telekom/mltb2
Machine Learning Toolbox 2
Language: Python - Size: 6.26 MB - Last synced at: 6 days ago - Pushed at: 13 days ago - Stars: 12 - Forks: 5
MLBazaar/BTB
A simple, extensible library for developing AutoML systems
Language: Python - Size: 16.3 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 175 - Forks: 41
wujian16/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
Language: C++ - Size: 15.6 MB - Last synced at: 11 days ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 63
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
Language: Python - Size: 3.07 MB - Last synced at: 28 days ago - Pushed at: about 1 year ago - Stars: 1,634 - Forks: 267
automl/HPOBench
Collection of hyperparameter optimization benchmark problems
Language: Python - Size: 740 KB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 146 - Forks: 36
maxim5/hyper-engine
Python library for Bayesian hyper-parameters optimization
Language: Python - Size: 399 KB - Last synced at: 17 days ago - Pushed at: over 6 years ago - Stars: 90 - Forks: 22
araffin/rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Language: Python - Size: 367 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,164 - Forks: 209
Wangchenchen233/DFS-BiHyper
International Joint Conference on Neural Networks (IJCNN). Wang, Chenchen, Jun Wang, Yanfei Li, and Jin-Mao Wei. "Discrete Feature Selection via Bi-Level Optimization for Hyperparameter Tuning." 2025.
Language: Python - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Helmholtz-AI-Energy/propulate
Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Language: Python - Size: 8.14 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 37 - Forks: 7
arnowaczynski/spaceopt
Hyperparameter optimization via gradient boosting regression
Language: Python - Size: 33.2 KB - Last synced at: 3 days ago - Pushed at: almost 3 years ago - Stars: 41 - Forks: 1
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language: Python - Size: 758 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2,180 - Forks: 318
layerai-archive/sdk 📦
Metadata store for Production ML
Language: Python - Size: 2.22 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 88 - Forks: 6
reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Language: Python - Size: 9.03 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 1,268 - Forks: 104
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Language: Python - Size: 1.38 MB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 1,644 - Forks: 312
