tuning-parameters

There are 1 repository under tuning-parameters topic.

alan-turing-institute / MLJ.jl
A Julia machine learning framework
classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters
Language:Julia 1720
LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization genetic-algorithm particle-swarm-optimization hyperband random-forest knn svm python-examples python-samples deep-learning artificial-neural-networks
Language:Jupyter Notebook 1249
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing grpc open-source google algorithm deep-learning machine-learning optimization
Language:Python 1174
awesome-mysql-performance
Releem / awesome-mysql-performance
🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning
mysql mysql-database mysql-server mariadb mariadb-server mariadb-database mariadb-mysql percona percona-server percona-mysql performance tuning tuning-parameters databases awesome-list awesome-lists configuration config database-management
460
ARM-software / mango
Parallel Hyperparameter Tuning in Python
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples pytorch-compatible bayesian-optimization gaussian-processes kubernetes-deployment cluster-deployment production-system neural-network neural-networks
Language:Jupyter Notebook 310
WenjieZ / TSCV
Time Series Cross-Validation -- an extension for scikit-learn
backtesting cross-validation data-science hyperparameter-optimization machine-learning model-selection time-series tuning-parameters
Language:Python 246
Accera
microsoft / Accera
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
cross-platform loop-fusion loop-unrolling python-library optimization-framework research machine-learning-algorithms gpu-acceleration cpu-scheduling tuning-parameters cross-compiler loop-scheduling compiler rocm-kernel cuda-kernels
Language:C++ 85
yzyhk904 / hifi-maximizer-mod
A Magisk module for maximizing the digital audio fidelity by reducing jitters on audio outputs (USB DACs, Bluetooth a2dp, DLNA, etc.)
magisk-module hifi audio jitter kernel tuning-parameters
Language:Shell 77
cerlymarco / keras-hypetune
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
deep-learning hyperparameter-optimization keras tensorflow tensorflow-keras tf-keras tuning-parameters
Language:Jupyter Notebook 59
ymattu / MlBayesOpt
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
r pacakge random-forest support-vector-machine xgboost tuning-parameters
Language:R 44
romainkp / stremr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
propensity-scores censoring-events ipw-msm grid-search tuning-parameters tmle survival machine-learning targeted-learning time-varying-confounding
Language:R 37
jakob-r / mlrHyperopt
Easy Hyper Parameter Optimization with mlr and mlrMBO.
mlr optimization learners hyperparameter-optimization tuning-parameters r-package r machine-learning
Language:HTML 30
DavideNardone / A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
sparse-coding compressed-sensing machine-learning feature-selection bioinformatics optimization tuning-parameters
Language:Python 16
mavrix93 / LightCurvesClassifier
Package for machine learning of astronomical objects such as light curves
light-curves star database-connector tuning-parameters machine-learning django classification feature-extraction
Language:Python 14
ivan-zapreev / Distributed-Translation-Infrastructure
The distributed statistical machine translation infrastructure consisting of load balancing, text pre/post-processing and translation services. Written in C++ 11 and utilises multicore CPUs by employing multi-threading, allows for secure SSL/TLS communications.
machine translation-server translation-service tuning-parameters multithreading tls-support ssl-support distributed-systems load-balancer text preprocessing postprocessing
Language:C++ 12
marco-milanesi / PID-PIDA-GAtuning
Implementation of a genetic algorithm to determine the parameters of the PID, PI-D, I-PD and PIDA controllers in order to compensate various benchmark processes, which are representative of many industrial applications. In particular, by considering separately a set-point and a load disturbance rejection unit step response the IAE is minimized by constraining the maximum sensitivity.
genetic-algorithm pid-controller pida-controller tuning-parameters
Language:MATLAB 10
Cheejyg / Genetic-Algorithms-for-Swarm-Parameter-Tuning
Swarming behaviour is based on aggregation of simple drones exhibiting basic instinctive reactions to stimuli. However, to achieve overall balanced/interesting behaviour the relative importance of these instincts, as well their internal parameters, must be tuned. In this project, you will learn how to apply Genetic Programming as means of such tuning, and attempt to achieve a series of non-trivial swarm-level behaviours.
genetics genetic-algorithms genetic-programming swarm swarm-intelligence parameter-tuning tuning tuning-parameters fyp final-year-project ntu nanyang-technological-university
Language:Python 9
cnpcshangbo / FOPD-tuner
Fractional order proportional derivative controller tuner
controller tuning-parameters fractional-order
Language:HTML 8
MainRo / xgbtune
a library to tune xgboost models
xgboost gradient-boosting machine-learning tuning-parameters parameter-tuning hyperparameter-optimization hyperparameter-tuning automl automl-algorithms
Language:Python 8
wgcban / apt
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
adapter-tuning computer-vision hmdb51 linear-probing prompt-tuning something-something tuning-parameters ucf-101 video-understanding
Language:Python 8
miraytopal / Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
classification-model dataexploration feature-engineering machine-learning matplotlib model-tuning modeling pandas seaborn tuning-parameters
Language:Jupyter Notebook 6
N3PDF / mcnntunes
Tuning Monte Carlo generators with machine learning.
event-generator machine-learning monte-carlo-simulation tuning-parameters
Language:Python 5
rgmantovani / HpTuning
Machine Learning Hyper-parameter Tuning processes
hyperparameter-tuning tuning-parameters machine-learning tuning meta-heuristics
Language:R 5
umayrh / sparktuner
Autotuner for Spark applications
python spark tuning tuning-parameters auto-tuning apache-spark
Language:Python 5
Divya-Bhargavi / DeepLearning-Notebooks
Implementation of Deep-learning techniques in pytorch
bag-of-words capsule-network cifar10 collaborative-filtering differential-learning-rate mnist mnist-classification pytorch style-transfer tuning-parameters
Language:Jupyter Notebook 4
CNN-Predictor-for-Malaria_Cells-LIME-CAM
mdhabibi / CNN-Predictor-for-Malaria_Cells-LIME-CAM
Enhanced CNN model for malaria cell classification, featuring Class Activation Mapping (CAM) as a non-agnstic technique for anomaly localization and LIME (Local Interpretable-agnostic Explanation) for interpretability, ensuring high accuracy and transparent AI diagnostics.
convolutional-neural-networks deep-learning keras-tensorflow tuning-parameters cv2 binary-classification class-activation-maps explainable-ai interpretable-machine-learning lime agnostic deeplift non-agnostic
Language:Jupyter Notebook 4
saadhaxxan / Optimizing-Hyperparameters-Using-Grid-Search
Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning
optimization hyperparameter-optimization deep-neural-networks sklearn kfold-cross-validation keras-tensorflow tuning-parameters diabetes-prediction healthcare-application
Language:Jupyter Notebook 4
ywan3223 / ECG-Heartbeat-Classification
ECG Arrhythmia Detection with ResNet and Transfer Learning
data-imbalance deeplearning ecg-classification gridsearchcv transfer-learning tuning tuning-parameters restnet18
Language:Jupyter Notebook 4
Ayda-Darvishan / Tuning-ML-Classifiers
The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development for productionizing the final model.
supervised-learning tuning-parameters random-forest bagging-ensemble boosting-ensemble gradient-boosting adaboost xgboost cross-validation pipeline oversampling undersampling exploratory-data-analysis randomizedsearchcv gridsearchcv
Language:Jupyter Notebook 3
SudhakarKuma / GA-PID
MATLAB code for tuning a PID controller using Genetic Algorithm (GA)
genetic-algorithm matlab pid-controller tuning-parameters
Language:MATLAB 3
amirziai / autokeras
Hyper-parameter + encoding + architecture grid/random search for keras
keras grid-search deep-learning tuning-parameters random-search
2
DavidCico / Boston-House-Prices-With-Regression-Machine-Learning-and-Keras-Deep-Learning
In this repository, a regression analysis is conducted using different machine learning and deep learning models. The study is led in order to choose the most suitable model by looking at different characteristics (models tuning, features scaling, etc).
machine-learning machine-learning-algorithms regression-models regression-analysis linear-models ensemble-models hyperparameter-optimization standardization tuning-parameters boston-housing-price-prediction deep-learning keras-tensorflow keras-neural-networks
Language:Jupyter Notebook 2
markkukuismin / MCPeSe
Monte Carlo Penalty Selection for graphical lasso
gaussian-graphical-models graphical-lasso huge networks rejection-sampling r-package tuning-parameters metropolis-hastings monte monte-carlo-simulation model-selection
Language:R 2
thisislohith6 / Sentiment-Analysis-of-Movie-review-dataset
sentiment-analysis nlp machine-learning classification tuning-parameters
Language:Jupyter Notebook 2
vinbhaskara / XTune-MLUtils
XTune: A custom python wrapper for XGBoost and LightGBM with numerous utility functions to prevent silly gotchas and save time!
machine-learning gradient-boosting xgboost-python lightgbm tuning-parameters machine-learning-library
Language:Python 2
pabl1ku / SVCHOSTSPLITTHRESHOLDINKB
How to Change Split Threshold for svchost.exe in Windows 10/11
svchost tuning tuning-guides tuning-parameters tuning-systems w10 w11 windows windows-10 windows11 windowstweaks
1

tuning-parameters

alan-turing-institute / MLJ.jl

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

google / vizier

Releem / awesome-mysql-performance

ARM-software / mango

WenjieZ / TSCV

microsoft / Accera

yzyhk904 / hifi-maximizer-mod

cerlymarco / keras-hypetune

ymattu / MlBayesOpt

romainkp / stremr

jakob-r / mlrHyperopt

DavideNardone / A-Sparse-Coding-Based-Approach-for-Class-Specific-Feature-Selection

mavrix93 / LightCurvesClassifier

ivan-zapreev / Distributed-Translation-Infrastructure

marco-milanesi / PID-PIDA-GAtuning

Cheejyg / Genetic-Algorithms-for-Swarm-Parameter-Tuning

cnpcshangbo / FOPD-tuner

MainRo / xgbtune

wgcban / apt

miraytopal / Marketing-Campaign-Machine-Learning

N3PDF / mcnntunes

rgmantovani / HpTuning

umayrh / sparktuner

Divya-Bhargavi / DeepLearning-Notebooks

mdhabibi / CNN-Predictor-for-Malaria_Cells-LIME-CAM

saadhaxxan / Optimizing-Hyperparameters-Using-Grid-Search

ywan3223 / ECG-Heartbeat-Classification

Ayda-Darvishan / Tuning-ML-Classifiers

SudhakarKuma / GA-PID

amirziai / autokeras

DavidCico / Boston-House-Prices-With-Regression-Machine-Learning-and-Keras-Deep-Learning

markkukuismin / MCPeSe

thisislohith6 / Sentiment-Analysis-of-Movie-review-dataset

vinbhaskara / XTune-MLUtils

pabl1ku / SVCHOSTSPLITTHRESHOLDINKB