tuning-parameters
There are 101 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
m-clark/book-of-models
Spells for everyday living, also a book -- Models Demystified -- now available!
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.
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.
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
wgcban/apt
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
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
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.
RAAJK20Pro/KernelEnhancer
Welcome to My Repository. Here you'll find a stable, Magisk modules for performance, save Battery, for all rooted Android devices. Stay rooted. Stay smart . 😎
ywan3223/ECG-Heartbeat-Classification
ECG Arrhythmia Detection with ResNet and Transfer Learning
MainRo/xgbtune
a library to tune xgboost models
miraytopal/Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
SudhakarKuma/GA-PID
MATLAB code for tuning a PID controller using Genetic Algorithm (GA)
rgmantovani/HpTuning
Machine Learning Hyper-parameter Tuning processes
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.
umayrh/sparktuner
Autotuner for Spark applications
D3One/Linux-audit-and-hardening
Simple all-in-one scripts for audit and enable hardened native security options
Divya-Bhargavi/DeepLearning-Notebooks
Implementation of Deep-learning techniques in pytorch
Pavansomisetty21/A-Fine-Tuned-Model-for-Medical-Named-Entity-Recognition-using-Gemini-LLM
In this we finetuned the Gemini model with our own medical NER dataset and used to recognize Name Entities
saadhaxxan/Optimizing-Hyperparameters-Using-Grid-Search
Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning
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.
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).
kiptochmike/Bank-Loan-Application
Loan Application Automation