tuning-parameters
There are 90 repositories under tuning-parameters topic.
JuliaAI/MLJ.jl
A Julia machine learning framework
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Releem/awesome-mysql-performance
🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning
ARM-software/mango
Parallel Hyperparameter Tuning in Python
WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
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.)
microsoft/Accera
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
cerlymarco/keras-hypetune
A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
ymattu/MlBayesOpt
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
romainkp/stremr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
jakob-r/mlrHyperopt
Easy Hyper Parameter Optimization with mlr and mlrMBO.
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.
mavrix93/LightCurvesClassifier
Package for machine learning of astronomical objects such as light curves
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.
wgcban/apt
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
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.
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.
cnpcshangbo/FOPD-tuner
Fractional order proportional derivative controller tuner
MainRo/xgbtune
a library to tune xgboost models
kazheku/SVCHOSTSPLITTHRESHOLDINKB
How to Change Split Threshold for svchost.exe in Windows 10/11
miraytopal/Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
ywan3223/ECG-Heartbeat-Classification
ECG Arrhythmia Detection with ResNet and Transfer Learning
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.
N3PDF/mcnntunes
Tuning Monte Carlo generators with machine learning.
rgmantovani/HpTuning
Machine Learning Hyper-parameter Tuning processes
umayrh/sparktuner
Autotuner for Spark applications
Divya-Bhargavi/DeepLearning-Notebooks
Implementation of Deep-learning techniques in pytorch
saadhaxxan/Optimizing-Hyperparameters-Using-Grid-Search
Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning
SudhakarKuma/GA-PID
MATLAB code for tuning a PID controller using Genetic Algorithm (GA)
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.
kiptochmike/Bank-Loan-Application
Loan Application Automation
vinbhaskara/XTune-MLUtils
XTune: A custom python wrapper for XGBoost and LightGBM with numerous utility functions to prevent silly gotchas and save time!
markkukuismin/MCPeSe
Monte Carlo Penalty Selection for graphical lasso
michstg/DiabetesClassification-DecisionTree-PCA-TuningParameter
Classification-Diabetic-Machine Learning-Algorithm-Decision Tree-Improve by-Principle Component Analysis
michstg/Forecast-Price-of-basic-commodities-LSTM-ETS-Smoothing
Forecast price of basic commodities East Kalimantan using LSTM Algorithm and Exponential Smoothing