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GitHub topics: hyperparameter-optimization

syne-tune/syne-tune

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

Language: Python - Size: 10.7 MB - Last synced at: about 4 hours ago - Pushed at: about 6 hours ago - Stars: 410 - Forks: 56

polyaxon/cli

Polyaxon Core Client & CLI to streamline MLOps

Language: Python - Size: 4.54 MB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 19 - Forks: 18

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

Language: Python - Size: 22.4 MB - Last synced at: about 13 hours ago - Pushed at: 2 days ago - Stars: 9,203 - Forks: 1,043

jolespin/clairvoyance

AutoML simultaneous bayesian hyperparameter optimization and feature selection

Language: Python - Size: 2.41 MB - Last synced at: about 19 hours ago - Pushed at: about 23 hours ago - Stars: 8 - Forks: 1

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: 480 - Forks: 89

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: 1 day ago - Pushed at: 2 days ago - Stars: 2,497 - Forks: 559

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: 14,238 - Forks: 1,822

keras-team/keras-tuner

A Hyperparameter Tuning Library for Keras

Language: Python - Size: 1.93 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 2,897 - Forks: 401

datarobot/syftr

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

Language: Python - Size: 3.05 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 291 - Forks: 20

abdulvahapmutlu/bounding-box-tuner-bbt

Adaptive Top-2 Bounding-Box Hyperparameter Tuner With median-based partial-training pruning and adaptive explore/exploit schedule.

Language: Python - Size: 36.1 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

AgileRL/AgileRL

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Language: Python - Size: 61.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 798 - Forks: 65

rick12000/confopt

A Library for Conformal Hyperparameter Tuning

Language: Python - Size: 905 KB - Last synced at: about 1 hour ago - Pushed at: about 4 hours ago - Stars: 31 - Forks: 2

telekom/mltb2

Machine Learning Toolbox 2

Language: Python - Size: 6.3 MB - Last synced at: about 22 hours ago - Pushed at: 5 days ago - Stars: 13 - Forks: 5

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Language: Python - Size: 124 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 343 - Forks: 84

mlr-org/bbotk

Black-box optimization framework for R.

Language: R - Size: 23.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 23 - Forks: 9

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: 548 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 38,139 - Forks: 6,633

CyberAgentAILab/cmaes

Python library for CMA Evolution Strategy.

Language: Python - Size: 404 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 435 - Forks: 71

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

polyaxon/polyaxon

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Size: 121 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3,657 - Forks: 319

autonomio/talos

Hyperparameter Experiments with TensorFlow and Keras

Language: Python - Size: 3.07 MB - Last synced at: about 12 hours ago - Pushed at: over 1 year ago - Stars: 1,638 - Forks: 267

mlr-org/mlr3tuning

Hyperparameter optimization package of the mlr3 ecosystem

Language: R - Size: 10.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 57 - Forks: 7

DataCanvasIO/HyperTS

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

Language: Python - Size: 7.62 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 281 - Forks: 33

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: 175 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10,127 - Forks: 756

EpistasisLab/tpot

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

Language: Jupyter Notebook - Size: 87.5 MB - Last synced at: 5 days ago - Pushed at: 24 days ago - Stars: 9,950 - Forks: 1,578

google/vizier

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

Language: Python - Size: 4.74 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,581 - Forks: 103

machinelearningnuremberg/HPO-B

[NeurIPS DBT 2021] HPO-B

Language: Python - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 34 - Forks: 10

SimonBlanke/Meta-Learn

Metalearning for Hyperparameter Optimization

Language: Python - Size: 256 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - 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: 8.08 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 39 - Forks: 8

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: 6 days ago - Pushed at: about 1 month ago - Stars: 38 - Forks: 15

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: 1 day ago - Pushed at: 3 months ago - Stars: 613 - Forks: 62

automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Language: Python - Size: 155 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1,182 - Forks: 237

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: 1 day ago - Pushed at: over 4 years ago - Stars: 707 - Forks: 101

hibayesian/awesome-automl-papers

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

Size: 16.8 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 4,097 - Forks: 687

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: 8 days ago - Pushed at: 11 months ago - Stars: 26,336 - Forks: 4,679

optuna/optuna

A hyperparameter optimization framework

Language: Python - Size: 20.3 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 12,326 - Forks: 1,136

Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization

Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.

Language: MATLAB - Size: 19.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 23 - Forks: 0

ByUnal/AviBERT

Domain specific (Aircraft) Bert models trained on uniquely collected data.

Language: Python - Size: 39.1 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

automl/auto-sklearn

Automated Machine Learning with scikit-learn

Language: Python - Size: 121 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 7,890 - Forks: 1,306

optuna/optuna-dashboard

Real-time Web Dashboard for Optuna.

Language: TypeScript - Size: 16.5 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 652 - Forks: 103

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: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

ytopt-team/ytopt

ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization

Language: C - Size: 25.7 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 49 - Forks: 18

Axect/pytorch_template

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

Language: Python - Size: 193 KB - Last synced at: 9 days ago - Pushed at: 12 days ago - Stars: 9 - Forks: 1

scicloj/scicloj.ml

A Clojure machine learning library

Language: Clojure - Size: 5.08 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 235 - Forks: 16

plandes/datdesc

Describe and optimize data

Language: Python - Size: 486 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

automl/neps

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

Language: Python - Size: 23.5 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 77 - Forks: 18

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..)

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 510 - Forks: 132

automl/HPOBench

Collection of hyperparameter optimization benchmark problems

Language: Python - Size: 741 KB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 150 - Forks: 36

MetaEvo/MetaBox

MetaBox: Benchmarking Platform for Meta-Black-Box Optimization

Language: Python - Size: 438 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 140 - Forks: 15

WilliamLwj/PyXAB

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

Language: Python - Size: 13.8 MB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 128 - Forks: 30

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: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

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

Epistimio/orion

Asynchronous Distributed Hyperparameter Optimization.

Language: Python - Size: 49.2 MB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 299 - Forks: 50

Amungusds/machine-tracker

Track your pentesting progress with Machine Tracker, a free web app for cybersecurity learners. Share your journey in a structured way. 🌐💻

Size: 341 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

Nailujj/Optuna_HPO_Visualization

Visualization of a multidimensional hyperparameter optimization using Optuna's Tree-structured Parzen Estimator in comparison to a conventional Grid-Search.

Language: TeX - Size: 24.8 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

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: 17 days ago - Pushed at: about 1 year ago - Stars: 771 - Forks: 113

sambo-optimization/sambo

🎯📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO for fast convergence

Language: Python - Size: 144 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 20 - Forks: 0

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: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

XAheli/Predicting-Indian-Stocks-Price-with-Stacked-LSTM

Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 5

microsoft/FLAML

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

Language: Jupyter Notebook - Size: 208 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 4,161 - Forks: 541

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.57 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 72 - Forks: 5

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 202 - Forks: 19

deephyper/deephyper

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

Language: Python - Size: 44.2 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 294 - Forks: 62

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: Python - Size: 2.11 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

mljar/mljar-supervised

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

Language: Python - Size: 9.34 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3,175 - Forks: 420

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: 20 days ago - Pushed at: 20 days ago - Stars: 1,235 - Forks: 91

owenodriscoll/AutoML

Python package for automated hyperparameter-optimization of common machine-learning algorithms

Language: Python - Size: 2.83 MB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 1

aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

Language: Python - Size: 225 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 677 - Forks: 87

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: 16 days ago - Pushed at: about 1 year ago - Stars: 578 - Forks: 72

automl/HpBandSter

a distributed Hyperband implementation on Steroids

Language: Python - Size: 7.17 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 618 - Forks: 107

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: 24 days ago - Pushed at: 24 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: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

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: 25 days ago - Pushed at: 25 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: 25 days ago - Pushed at: 25 days ago - Stars: 0 - 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: 388 MB - Last synced at: 25 days ago - Pushed at: 27 days ago - Stars: 1,312 - Forks: 404

ISG-Siegen/lenskit-auto

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

Language: Python - Size: 2.66 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 1

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: 26 days ago - Pushed at: 26 days ago - Stars: 3,791 - Forks: 2,535

telekom/HPOflow 📦

Tools for Optuna, MLflow and the integration of both.

Language: Python - Size: 6.41 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 2

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: 27 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: 10 months ago - Stars: 95 - Forks: 15

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: 27 days ago - Pushed at: 27 days ago - Stars: 2 - 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: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

ahundt/sharpDARTS

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Language: Python - Size: 6.31 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 4

sile/tpe

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

Language: Rust - Size: 54.7 KB - Last synced at: 26 days ago - Pushed at: 3 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: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

Language: Python - Size: 1.38 MB - Last synced at: 28 days ago - Pushed at: over 4 years ago - Stars: 1,651 - Forks: 312

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: about 15 hours ago - Pushed at: over 3 years ago - Stars: 61 - Forks: 28

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: 27 days ago - Pushed at: about 1 month ago - Stars: 28 - Forks: 5

thuijskens/bayesian-optimization

Python code for bayesian optimization using Gaussian processes

Language: Jupyter Notebook - Size: 679 KB - Last synced at: 5 days ago - Pushed at: over 8 years ago - Stars: 311 - Forks: 127

mukulsinghal001/USA-Housing-Price-Prediction

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0

maxpumperla/hyperas

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

Language: Python - Size: 758 KB - Last synced at: 28 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: 25 days ago - Pushed at: 2 months ago - Stars: 181 - Forks: 32

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: 21 days ago - Pushed at: 22 days ago - Stars: 524 - Forks: 49

evhub/bbopt

Black box hyperparameter optimization made easy.

Language: Python - Size: 1.22 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 74 - Forks: 8

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: 23 days ago - Pushed at: about 2 months ago - Stars: 82 - Forks: 7

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 418 - Forks: 48

kruize/autotune

Autonomous Performance Tuning for Kubernetes!

Language: Java - Size: 9.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 207 - Forks: 60

mlr-org/mlr3mbo

Flexible Bayesian Optimization in R

Language: R - Size: 13.6 MB - Last synced at: 22 days ago - Pushed at: 22 days 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: 30 days ago - Pushed at: 6 months ago - Stars: 235 - Forks: 31

Related Keywords
hyperparameter-optimization 888 machine-learning 400 hyperparameter-tuning 214 python 185 deep-learning 168 data-science 107 automl 99 optimization 82 bayesian-optimization 81 scikit-learn 73 tensorflow 66 feature-engineering 63 random-forest 62 pytorch 60 optuna 57 neural-network 54 classification 53 neural-networks 51 keras 48 xgboost 43 hyperparameter-search 42 genetic-algorithm 41 cross-validation 40 logistic-regression 37 machine-learning-algorithms 36 automated-machine-learning 34 convolutional-neural-networks 32 hyperopt 32 exploratory-data-analysis 31 feature-selection 30 deep-neural-networks 28 gridsearchcv 28 data-visualization 28 neural-architecture-search 27 sklearn 27 pandas 26 python3 26 regression 25 random-search 25 reinforcement-learning 24 model-selection 23 lightgbm 22 mlops 22 image-classification 21 hyperparameters 20 gaussian-processes 20 cnn 20 natural-language-processing 20 data-analysis 19 jupyter-notebook 19 optimization-algorithms 19 computer-vision 19 numpy 19 transfer-learning 19 decision-trees 19 hpo 18 evolutionary-algorithms 18 regularization 17 tuning 17 ai 16 grid-search 16 blackbox-optimization 16 svm-classifier 16 random-forest-classifier 15 artificial-intelligence 15 particle-swarm-optimization 15 parameter-tuning 15 gradient-boosting 15 time-series 15 ml 15 eda 15 data-preprocessing 14 visualization 14 differential-evolution 14 regression-models 13 svm 13 linear-regression 13 mlflow 13 matplotlib 13 lstm 13 nlp 13 ensemble-learning 13 clustering 13 kaggle 12 decision-tree-classifier 11 keras-tensorflow 11 knn 11 confusion-matrix 10 tabular-data 10 r 10 supervised-learning 10 black-box-optimization 10 distributed 10 tuning-parameters 10 time-series-analysis 10 recurrent-neural-networks 10 kubernetes 10 decision-tree 10 xgboost-classifier 10 feature-extraction 9