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GitHub topics: hyperparameter-optimization

polyaxon/cli

Polyaxon Core Client & CLI to streamline MLOps

Language: Python - Size: 4.54 MB - Last synced at: about 4 hours ago - Pushed at: about 5 hours ago - Stars: 19 - Forks: 18

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: about 15 hours ago - Pushed at: 11 months ago - Stars: 26,232 - Forks: 4,671

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: 1 day ago - Pushed at: about 1 year ago - Stars: 14,219 - Forks: 1,823

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Language: Python - Size: 124 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 343 - Forks: 83

CyberAgentAILab/cmaes

Python library for CMA Evolution Strategy.

Language: Python - Size: 389 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 432 - Forks: 71

datarobot/syftr

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

Language: Python - Size: 3.2 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 280 - Forks: 19

sntsemilio/Hate-Speech-Detection-System

Advanced hate speech detection system using custom transformer architecture. Features 93% accuracy, 15x smaller than BERT, real-time inference (45ms), and interactive Streamlit interface. Built with TensorFlow 2.x and optimized with Keras Tuner

Language: Jupyter Notebook - Size: 9.27 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

aparna-kundu-dutta/Intrusion_detection_system_using_ML

Enhance cybersecurity with our Intrusion Detection System using ML. Detect attacks in real-time with a Flask app and Random Forest model. 🐙💻

Language: HTML - Size: 6.02 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

polyaxon/polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Size: 121 MB - Last synced at: 3 days ago - Pushed at: 24 days ago - Stars: 3,651 - Forks: 319

microsoft/archai

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

Language: Python - Size: 48.3 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 478 - Forks: 89

MetaEvo/MetaBox

MetaBox: Benchmarking Platform for Meta-Black-Box Optimization

Language: Python - Size: 438 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 139 - Forks: 15

Saeed-dev2/cyberattack-detector-AI

FastAPI-based AI web app for real-time cyberattack detection using machine learning. Predicts network traffic as Benign or Attack with a trained model, scaler, and dynamic feature input via web UI. Ideal for cybersecurity research and intelligent intrusion detection.

Language: Python - Size: 3.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

andreas122001/bayesian-hyperparameter-optimization

Demo project on using Bayesian Optimization to find the optimal learning rate for a small ResNet model on the FashionMNIST dataset.

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

deephyper/deephyper

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Language: Python - Size: 44.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 292 - Forks: 62

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: 3.82 MB - Last synced at: 4 days ago - Pushed at: 20 days ago - Stars: 2,473 - Forks: 557

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

Language: Python - Size: 22.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 9,004 - Forks: 1,030

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Language: Python - Size: 60.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 789 - Forks: 65

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: 388 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 1,312 - Forks: 404

optuna/optuna-dashboard

Real-time Web Dashboard for Optuna.

Language: TypeScript - Size: 15.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 641 - Forks: 103

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: 4 days ago - Pushed at: 4 days ago - Stars: 3,791 - Forks: 2,535

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: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

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: 174 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 10,039 - Forks: 752

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: 542 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 37,783 - Forks: 6,543

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: 5 days ago - Pushed at: 4 months ago - Stars: 3,156 - Forks: 364

microsoft/CoML

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

Language: Python - Size: 12.6 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 95 - Forks: 16

sajadamouei/classification-metabolomics

Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

machinelearningnuremberg/HPO-B

[NeurIPS DBT 2021] HPO-B

Language: Python - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 33 - Forks: 9

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 7,870 - Forks: 1,307

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: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Y-Srivaishnavi/simple_neural_architecture_search

Perform Neural Architecture Search to find the optimal ANN architecture for classification on two datasets: Splice and Human Activity Recognition

Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

optuna/optuna-mcp

The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.

Language: Python - Size: 4.97 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 27 - Forks: 8

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: 2.07 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

EpistasisLab/tpot

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

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 9,927 - Forks: 1,580

sile/tpe

A TPE (Tree-structured Parzen Estimator) implementation in Rust

Language: Rust - Size: 54.7 KB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 30 - Forks: 7

Yashmaini30/Breast-Cancer-Detection

Transfer learning-based breast cancer classification using ultrasound images. Includes ResNet-50, AlexNet, VGG16, and GoogLeNet with fine-tuning, feature extraction, and Bayesian optimization.

Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

keras-team/keras-tuner

A Hyperparameter Tuning Library for Keras

Language: Python - Size: 1.93 MB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 2,891 - Forks: 400

Tejas290/cyberattack-detector-AI

Detect cyberattacks in real-time with this FastAPI web app. Input network features and get instant predictions on traffic safety. 🚀🔍

Language: Python - Size: 3.39 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

mohiuddinrazu/cres_trigger

Machine learning triggering algorithm in Python (TensorFlow 2) for weak and noisy signal from CRES. This version of the algorithm utilizes LSTM units to learn from the chirping signature of CRES signal in Fourier space. MLFlow hyperparameter optimization with multi-GPU parallelization has been added.

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 2 - Forks: 0

optuna/optuna

A hyperparameter optimization framework

Language: Python - Size: 20.3 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 12,188 - Forks: 1,125

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: 10 days ago - Pushed at: 10 days ago - Stars: 1,234 - Forks: 90

aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

Language: Python - Size: 225 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 675 - Forks: 87

ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

Language: Python - Size: 1.38 MB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 1,651 - Forks: 312

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 155 MB - Last synced at: 6 days ago - Pushed at: 17 days ago - Stars: 1,180 - Forks: 237

zahra-ahmadbeigloo/Machine-Learning-Projects

This repository contains machine learning projects, where models are trained for classification, regression, clustering, and deep learning tasks. Each project includes data preprocessing, feature engineering, model training, evaluation, and visualizations to support findings.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

syne-tune/syne-tune

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

Language: Python - Size: 10.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 410 - Forks: 55

oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

Size: 27.9 MB - Last synced at: 6 days ago - Pushed at: 11 days ago - Stars: 28 - Forks: 5

maxpumperla/hyperas

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

Language: Python - Size: 758 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 2,176 - Forks: 318

TUM-DAML/seml

SEML: Slurm Experiment Management Library

Language: Python - Size: 1.51 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 181 - Forks: 32

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: 12 days ago - Pushed at: 3 months ago - Stars: 3,167 - Forks: 419

danial-hosseinpour/Machine-Learning-Projects

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

SimonBlanke/Hyperactive

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

Language: Python - Size: 30.7 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 524 - Forks: 49

hibayesian/awesome-automl-papers

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

Size: 16.8 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 4,095 - Forks: 688

evhub/bbopt

Black box hyperparameter optimization made easy.

Language: Python - Size: 1.22 MB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 74 - Forks: 8

Axect/pytorch_template

A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.

Language: Python - Size: 185 KB - Last synced at: 6 days ago - Pushed at: 14 days ago - Stars: 9 - Forks: 1

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: 2 days ago - Pushed at: about 1 month ago - Stars: 82 - Forks: 7

plandes/datdesc

Describe and optimize data

Language: Python - Size: 474 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

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: 12 days ago - Pushed at: 12 days ago - Stars: 1,568 - Forks: 101

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: 13 days ago - Pushed at: 5 months ago - Stars: 418 - Forks: 48

automl/HpBandSter

a distributed Hyperband implementation on Steroids

Language: Python - Size: 7.17 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 617 - Forks: 107

kruize/autotune

Autonomous Performance Tuning for Kubernetes!

Language: Java - Size: 9.25 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 207 - Forks: 60

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 13.6 MB - Last synced at: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 25 - Forks: 1

EpistasisLab/tpot2

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

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 235 - Forks: 31

dmitryglhf/autodask

AutoML Library Based on Dask with Bee Colony Optimization

Language: Python - Size: 1.66 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 3 - Forks: 0

WilliamLwj/PyXAB

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Language: Python - Size: 13.8 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 127 - Forks: 30

optuna/optuna-examples

Examples for https://github.com/optuna/optuna

Language: Python - Size: 4.09 MB - Last synced at: 15 days ago - Pushed at: 24 days ago - Stars: 765 - Forks: 184

andreacasalino/GaussianProcesses

Modern C++ library handling gaussian processes

Language: C++ - Size: 3.91 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 3

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: 5 days ago - Pushed at: over 3 years ago - Stars: 36 - Forks: 5

scicloj/scicloj.ml

A Clojure machine learning library

Language: Clojure - Size: 5.08 MB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 231 - Forks: 16

HDI-Project/ATM

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

Language: Python - Size: 8.57 MB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 530 - Forks: 139

automl/HPOBench

Collection of hyperparameter optimization benchmark problems

Language: Python - Size: 741 KB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 148 - Forks: 36

scikit-optimize/scikit-optimize 📦

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

Language: Python - Size: 8.99 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 2,775 - Forks: 553

Tunny-gh/Tunny_in_Open_Sea 📦

Tunny with version 0. It is open source.

Language: C# - Size: 7 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 70 - Forks: 8

pyhopper/pyhopper

PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.

Language: Python - Size: 14.9 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 87 - Forks: 6

automl/neps

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

Language: Python - Size: 23.3 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 78 - Forks: 17

automl/hposuite

A lightweight framework for benchmarking HPO algorithms

Language: Python - Size: 721 KB - Last synced at: 6 days ago - Pushed at: 17 days ago - Stars: 3 - Forks: 0

autonomio/talos

Hyperparameter Experiments with TensorFlow and Keras

Language: Python - Size: 3.07 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 1,637 - Forks: 267

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: 11 days ago - Pushed at: 3 months ago - Stars: 265 - Forks: 40

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: 11 days ago - Pushed at: over 4 years ago - Stars: 708 - Forks: 101

DataCanvasIO/HyperTS

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

Language: Python - Size: 7.62 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 278 - Forks: 31

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: 14 days ago - Pushed at: about 7 years ago - Stars: 1,266 - Forks: 104

discovery-unicamp/Minerva

Minerva is a framework for training machine learning models for researchers.

Language: Python - Size: 17.2 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 5 - Forks: 7

Anusha-me/Statistical_design_of_experiement-CIFRA-10

Hyperparameter tuning of a Convolutional Neural Network (CNN) for CIFAR-10 image classification using fractional factorial Design of Experiments (DOE) and regression modeling.

Size: 492 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

maxim5/hyper-engine

Python library for Bayesian hyper-parameters optimization

Language: Python - Size: 399 KB - Last synced at: 11 days ago - Pushed at: almost 7 years ago - Stars: 91 - Forks: 23

Morano-git/WDBC-ML-Classification-Assignment

Fundamentals of Machine Learning Assignment Repository

Language: Jupyter Notebook - Size: 5.09 MB - Last synced at: 23 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

leopard-ai/betty

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

Language: Python - Size: 2.85 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 338 - Forks: 28

antbartash/australian_rain

HPO for DNN and other ML algorithms

Language: Jupyter Notebook - Size: 9.63 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

lpestov/interactive_ai_model_builder

Smart builder for interaction with AI and ML

Language: Jupyter Notebook - Size: 207 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 24 - Forks: 1

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: 11 days ago - Pushed at: over 3 years ago - Stars: 60 - Forks: 28

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: 27 days ago - Pushed at: 12 months ago - Stars: 770 - Forks: 113

thieu1995/MetaSklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

Language: Python - Size: 137 KB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

ilahuerta-IA/applied-ml-trading-lstm-eurusd

LSTM model for EURUSD price forecasting, exploring techniques from 'Machine Learning Aplicado al Trading'.

Language: Jupyter Notebook - Size: 24 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

sibirbil/marsopt

Mixed Adaptive Random Search (MARS) for Optimization

Language: Python - Size: 41 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 30 - Forks: 2

mlr-org/bbotk

Black-box optimization framework for R.

Language: R - Size: 23.2 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 23 - Forks: 9

sherpa-ai/sherpa

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

Language: JavaScript - Size: 5.57 MB - Last synced at: 9 days ago - Pushed at: over 4 years ago - Stars: 339 - Forks: 54

auto-flow/ultraopt

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Language: Python - Size: 10.3 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 108 - Forks: 15

rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

Language: Python - Size: 1.16 GB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 62 - Forks: 2

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: 8.17 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 39 - Forks: 7

tohtsky/irspack

Train, evaluate, and optimize implicit feedback-based recommender systems.

Language: Python - Size: 733 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 9

mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

Language: R - Size: 10.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 55 - Forks: 5

nestordemeure/Simplers

Rust implementation of the Simple(x) Global Optimization algorithm

Language: Rust - Size: 79.1 KB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 4

Related Keywords
hyperparameter-optimization 875 machine-learning 395 hyperparameter-tuning 212 python 183 deep-learning 168 data-science 105 automl 99 optimization 81 bayesian-optimization 80 scikit-learn 72 tensorflow 64 random-forest 62 feature-engineering 61 pytorch 59 optuna 55 neural-network 54 classification 53 neural-networks 51 keras 47 xgboost 43 genetic-algorithm 41 cross-validation 39 hyperparameter-search 38 logistic-regression 37 machine-learning-algorithms 36 automated-machine-learning 34 convolutional-neural-networks 32 exploratory-data-analysis 31 hyperopt 31 feature-selection 30 deep-neural-networks 28 sklearn 27 neural-architecture-search 27 gridsearchcv 27 python3 26 pandas 26 data-visualization 25 random-search 25 reinforcement-learning 24 regression 24 model-selection 22 lightgbm 22 mlops 22 image-classification 21 gaussian-processes 20 natural-language-processing 20 hyperparameters 20 cnn 20 optimization-algorithms 19 computer-vision 19 jupyter-notebook 19 transfer-learning 19 decision-trees 19 hpo 18 evolutionary-algorithms 18 numpy 18 regularization 17 tuning 17 svm-classifier 16 ai 16 grid-search 16 data-analysis 16 blackbox-optimization 16 artificial-intelligence 15 ml 15 time-series 15 particle-swarm-optimization 15 eda 15 random-forest-classifier 15 gradient-boosting 15 visualization 14 differential-evolution 14 parameter-tuning 14 data-preprocessing 14 svm 13 clustering 13 ensemble-learning 13 matplotlib 13 mlflow 13 lstm 13 nlp 12 linear-regression 12 regression-models 12 decision-tree-classifier 11 knn 11 keras-tensorflow 11 kaggle 11 tabular-data 10 r 10 black-box-optimization 10 recurrent-neural-networks 10 confusion-matrix 10 supervised-learning 10 distributed 10 decision-tree 10 time-series-analysis 10 xgboost-classifier 10 tuning-parameters 10 kubernetes 10 deep-reinforcement-learning 9