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
