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GitHub topics: hyperparameter-optimization

tohtsky/irspack

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

Language: Python - Size: 733 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 10

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: about 16 hours ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 4

IBM/lale

Library for Semi-Automated Data Science

Language: Python - Size: 40.8 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 339 - Forks: 80

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: 177 KB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

Hvass-Labs/MetaOps

Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: 18 days ago - Pushed at: over 6 years ago - Stars: 55 - Forks: 12

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 200 - Forks: 19

saattrupdan/naturalselection 📦

A general-purpose pythonic genetic algorithm.

Language: Python - Size: 4.85 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 1

slewie/HypONIC

HypONIC is a hyperparameter optimization library that uses various nature inspired computing algorithms to optimize the hyperparameters of machine learning models. The library provides a simple interface for sklearn and keras models.

Language: Python - Size: 116 KB - Last synced at: 21 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

rlhinrichs/neural-networks

📊 Time-Series Forecasting for Wearable Device Sensors

Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 4,138 - Forks: 535

ytopt-team/ytopt

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

Language: C - Size: 25.7 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 48 - Forks: 18

ShovalBenjer/Power_Transform_Box-Cox_Supervised_ML

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.

Language: Jupyter Notebook - Size: 7.67 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

okita871/determined

Build customized JSON and HCL Unmarshaler with Determined hcl, json

Language: Go - Size: 119 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

guan-yuan/Awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Size: 150 KB - Last synced at: 18 days ago - Pushed at: about 4 years ago - Stars: 854 - Forks: 160

benchopt/benchmark_bilevel

Benchmark for bi-level optimization solvers

Language: Python - Size: 382 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 46 - Forks: 10

DAVIDDAIJUNCHEN/Shape-Transfer-Bayesian-Optimization

This project aims to implement Shape Transfer Bayesian Optimization, and compare it with other existing transfer Bayesian Optimization Methods.

Language: Python - Size: 90 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1,293 - Forks: 304

levisstrauss/End-to-End-MLOps-Pipeline-NYC-Rental-Price-Prediction

End-to-end MLOps pipeline for NYC short-term rental price prediction using MLflow and W&B. Features data validation, feature engineering, model training, hyperparameter optimization, and automated deployment with weekly retraining.

Language: Jupyter Notebook - Size: 6.71 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

levisstrauss/Bike-Rental-Forecasting-System-with-AutoGluon

Machine learning project achieving 66% RMSE improvement in bike sharing demand prediction using AutoGluon, temporal feature engineering, and systematic hyperparameter optimization. Demonstrates iterative model development from baseline (1.32 RMSE) to optimized solution (0.45 RMSE).

Language: HTML - Size: 4.49 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 13 days ago - Pushed at: 2 months ago - Stars: 612 - Forks: 62

williamFalcon/test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Language: JavaScript - Size: 1.45 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 735 - Forks: 73

henryhcooperr/FaceRecognition-MultiArchitecture-Pipeline

A comprehensive face recognition system featuring multiple deep learning architectures (CNN, Siamese, ArcFace, Transformer-hybrid), interactive interface, advanced preprocessing pipeline, hyperparameter optimization, and real-time demo capabilities. Includes visualization tools, cross-validation, and support for multiple datasets.

Language: Python - Size: 651 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

marcelovca90/auto-ml-evaluation

Code of the article "A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification".

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 1

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: 504 MB - Last synced at: 3 days ago - Pushed at: 16 days ago - Stars: 13 - Forks: 1

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: about 1 month ago - Pushed at: almost 2 years ago - Stars: 233 - Forks: 45

amore-labs/gama

An automated machine learning tool aimed to facilitate AutoML research.

Language: Python - Size: 133 MB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 99 - Forks: 29

SayamAlt/Company-Bankruptcy-Prediction

Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 0

Jayplect/Funding-recommendation-engine

For this project, I built a binary classifier to predict the success of applicants seeking funding from Alphabet Soup. Leveraging the features in the dataset, the model uses machine learning and neural networks to make accurate predictions.

Language: Jupyter Notebook - Size: 110 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

bundasmanu/skin_mnist

Analysis of Skin Cancer MNIST: HAM10000

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

aimclub/iOpt

Framework of intelligent optimization methods iOpt

Language: Python - Size: 49.9 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 54 - Forks: 24

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 2 months ago - Pushed at: over 2 years ago - Stars: 1,175 - Forks: 209

kiudee/chess-tuning-tools

A collection of scripts aimed at efficiently tuning chess engine parameters.

Language: Python - Size: 992 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 56 - Forks: 14

holgern/scikit-optimize

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

Language: Python - Size: 19.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 2

gmontamat/gentun

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Language: Python - Size: 622 KB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 89 - Forks: 19

sambo-optimization/sambo

🎯📈 Sequantial and model-based optimization

Language: Python - Size: 108 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 0

Epistimio/orion

Asynchronous Distributed Hyperparameter Optimization.

Language: Python - Size: 49.2 MB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 294 - Forks: 50

xadrianzetx/optuna-distributed

Distributed hyperparameter optimization made easy

Language: Python - Size: 194 KB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 37 - Forks: 1

solegalli/hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 123 - Forks: 194

rick12000/confopt

A Library for Conformal Hyperparameter Tuning

Language: Python - Size: 723 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 30 - Forks: 2

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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

WenjieZ/TSCV

Time Series Cross-Validation -- an extension for scikit-learn

Language: Python - Size: 224 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 255 - Forks: 42

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: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0

eigenein/rust-hyperopt

Tree-of-Parzen-estimators hyperparameter optimization

Language: Rust - Size: 114 KB - Last synced at: 30 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

gilad-rubin/hypster

HyPSTER - HyperParameter optimization on STERoids

Language: Python - Size: 9.62 MB - Last synced at: 2 months ago - Pushed at: 8 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: 14 days ago - Pushed at: almost 2 years ago - Stars: 232 - Forks: 36

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: 2 months ago - Pushed at: about 1 year ago - Stars: 576 - Forks: 73

polyaxon/hypertune

A library for performing hyperparameter optimization

Language: Python - Size: 118 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 63 - Forks: 9

AhmetZamanis/LoanRequestClassification

Imbalanced classification with loan clients dataset.

Language: R - Size: 835 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

cog-imperial/entmoot

Multiobjective black-box optimization using gradient-boosted trees

Language: Python - Size: 993 KB - Last synced at: 30 days ago - Pushed at: 4 months ago - Stars: 58 - Forks: 12

bharathgs/Awesome-Distributed-Deep-Learning

A curated list of awesome Distributed Deep Learning resources.

Size: 53.7 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 421 - Forks: 85

jakob-r/mlrHyperopt 📦

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Language: HTML - Size: 2.04 MB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 6

machinelearningnuremberg/WellTunedSimpleNets

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

Language: Python - Size: 95.7 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 85 - Forks: 15

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: 2 months ago - Pushed at: over 4 years ago - Stars: 393 - Forks: 68

mlr-org/mlrMBO

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Language: R - Size: 77.5 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 188 - Forks: 47

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: 29 days ago - Pushed at: 30 days ago - Stars: 27 - Forks: 3

klieret/ray-tune-stoppers-contrib

Additional stoppers for ray tune

Language: Python - Size: 136 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - 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: 3 months ago - Pushed at: 5 months ago - Stars: 97 - Forks: 23

telekom/mltb2

Machine Learning Toolbox 2

Language: Python - Size: 6.29 MB - Last synced at: 9 days ago - Pushed at: 16 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: 13 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: 2 months ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 63

Yusuf-Abol/HSR-Passenger-Demand-Forecast

A robust forecasting pipeline for daily transportation passenger counts, combining classical time series modeling with deep learning for superior accuracy and reliability.

Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

arnowaczynski/spaceopt

Hyperparameter optimization via gradient boosting regression

Language: Python - Size: 33.2 KB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 41 - Forks: 1

layerai-archive/sdk 📦

Metadata store for Production ML

Language: Python - Size: 2.22 MB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 88 - Forks: 6

lijqhs/deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Size: 9.38 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 475 - Forks: 147

negrinho/deep_architect

A general, modular, and programmable architecture search framework

Language: Python - Size: 1.81 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 123 - Forks: 18

chrisstroemel/Simple

Experimental Global Optimization Algorithm

Language: Python - Size: 11 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 482 - Forks: 39

DrChainsaw/NaiveGAflux.jl

Evolve Flux networks from scratch!

Language: Julia - Size: 5.31 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 41 - Forks: 1

GPflow/GPflowOpt

Bayesian Optimization using GPflow

Language: Python - Size: 3.35 MB - Last synced at: about 13 hours ago - Pushed at: over 4 years ago - Stars: 272 - Forks: 60

DrChainsaw/NaiveNASflux.jl

Your local Flux surgeon

Language: Julia - Size: 1.05 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 24 - Forks: 0

AIworx-Labs/chocolate

A fully decentralized hyperparameter optimization framework

Language: Python - Size: 2.33 MB - Last synced at: 16 days ago - Pushed at: 12 months ago - Stars: 123 - Forks: 40

AmanPriyanshu/DP-HyperparamTuning

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

Language: Jupyter Notebook - Size: 88.9 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 23 - Forks: 5

herilalaina/mosaic_ml

AutoML with MCTS

Language: Python - Size: 314 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 6

JuliusPinsker/SeasonalColourClassification

This project implements a 12-class seasonal color analysis classifier specialized for face images, using state-of-the-art models via the timm library. It is an ongoing struggle on finding a model architecture that will fit the Deep Armocromia Dataset and might one day be the basis for a reliable armocromia classification app.

Language: Python - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: almost 2 years ago - Stars: 21 - Forks: 6

DataCanvasIO/Cooka

A lightweight and visual AutoML system

Language: Python - Size: 11.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 42 - Forks: 9

negrinho/deep_architect_legacy

DeepArchitect: Automatically Designing and Training Deep Architectures

Language: Python - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 145 - Forks: 20

krish567366/automl_self_improvement

A next-gen toolkit for autonomous machine learning that automatically optimizes models using reinforcement learning, evolutionary algorithms, and generative AI. Combines meta-learning for cross-task adaptation, hybrid hyperparameter tuning, and secure MLOps to accelerate AI deployment.

Language: Python - Size: 10.7 KB - Last synced at: 8 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

zygmuntz/hyperband

Tuning hyperparams fast with Hyperband

Language: Python - Size: 370 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 593 - Forks: 72

louis-alexandre-laguet/Rain-Prediction-DL-ML

This project aims to predict rainfall using machine learning and deep learning models. It includes data analysis, preprocessing, and the application of algorithms like Logistic Regression, SVM, Random Forest, and deep learning models like LSTM for the Kaggle Rain Prediction Challenge.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gsurma/deep_traffic

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Language: JavaScript - Size: 5.81 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 55 - Forks: 11

kiudee/bayes-skopt

A fully Bayesian implementation of sequential model-based optimization

Language: Python - Size: 7 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 6

MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Language: Jupyter Notebook - Size: 43.1 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 18 - Forks: 4

TouradBaba/deep-learning-specialization-coursera

This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.

Language: Jupyter Notebook - Size: 28.9 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 1

jmejia8/HyperTuning.jl

HyperTuning: Automated hyperparameter tuning in Julia.

Language: Julia - Size: 742 KB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 24 - Forks: 1

KentonMurray/ProxGradPytorch

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

Language: Python - Size: 32.2 KB - Last synced at: 3 days ago - Pushed at: almost 5 years ago - Stars: 42 - Forks: 5

MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 115 - Forks: 17

Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 32 - Forks: 9

machinelearningnuremberg/DPL

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Language: Python - Size: 13.7 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 3

akinwilson/kmlflow

Integrated, scalable and fault-tolerant ML engineering, research and operations platform for personal, production or decentralised use.

Language: Python - Size: 8.85 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

Mavenoid/prompt-hyperopt

Improve prompts for e.g. GPT3 and GPT-J using templates and hyperparameter optimization.

Language: Python - Size: 143 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 42 - Forks: 3

balavenkatesh3322/hyperparameter_tuning

A collection of Hyper parameter tuning library.

Size: 63.5 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 41 - Forks: 7

kapsner/mlexperiments

An extensible framework for reproducible machine learning experiments

Language: R - Size: 519 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 5 - Forks: 2

jolespin/clairvoyance

AutoML simultaneous bayesian hyperparameter optimization and feature selection

Language: Python - Size: 2.38 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 8 - Forks: 1

ajinkyaT/GA_ANN

Optimising ANN architecture using genetic algorithm.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 3

jrzaurin/ml-pipeline

Using Kafka-Python to illustrate a ML production pipeline

Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 109 - Forks: 51

BobbyWilt/Spotify_Song_Recommender

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 30 - Forks: 1

jmrichardson/tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Language: Python - Size: 713 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 434 - Forks: 74

srhn45/crypto-time-series-ml

Hyperparameter optimization algorithm for custom recurrent and convolutional neural network models.

Language: Python - Size: 13.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Related Keywords
hyperparameter-optimization 876 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 65 random-forest 62 feature-engineering 61 pytorch 59 optuna 55 neural-network 54 classification 53 neural-networks 51 keras 48 xgboost 43 genetic-algorithm 41 cross-validation 39 hyperparameter-search 39 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 gridsearchcv 27 neural-architecture-search 27 sklearn 27 python3 26 pandas 26 data-visualization 25 random-search 25 regression 24 reinforcement-learning 24 mlops 22 lightgbm 22 model-selection 22 image-classification 21 cnn 20 hyperparameters 20 gaussian-processes 20 natural-language-processing 20 decision-trees 19 computer-vision 19 jupyter-notebook 19 optimization-algorithms 19 transfer-learning 19 numpy 19 evolutionary-algorithms 18 hpo 18 regularization 17 tuning 17 ai 16 svm-classifier 16 blackbox-optimization 16 data-analysis 16 grid-search 16 random-forest-classifier 15 eda 15 particle-swarm-optimization 15 artificial-intelligence 15 time-series 15 gradient-boosting 15 ml 15 data-preprocessing 14 differential-evolution 14 visualization 14 parameter-tuning 14 ensemble-learning 13 matplotlib 13 svm 13 lstm 13 mlflow 13 clustering 13 nlp 12 regression-models 12 linear-regression 12 keras-tensorflow 11 knn 11 decision-tree-classifier 11 kaggle 11 recurrent-neural-networks 10 kubernetes 10 tuning-parameters 10 distributed 10 tabular-data 10 time-series-analysis 10 decision-tree 10 xgboost-classifier 10 black-box-optimization 10 supervised-learning 10 confusion-matrix 10 r 10 ray 9