Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: tuning-parameters

google/vizier

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Language: Python - Size: 4 MB - Last synced: about 9 hours ago - Pushed: about 10 hours ago - Stars: 1,182 - Forks: 71

microsoft/Accera

Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research

Language: C++ - Size: 13.4 MB - Last synced: about 20 hours ago - Pushed: 8 months ago - Stars: 85 - Forks: 17

juliosdutra/Controle_de_Processos_UFES

Aplicação de conceitos da disciplina de Controle de Processos.

Language: Jupyter Notebook - Size: 5.26 MB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 1 - Forks: 0

ARM-software/mango

Parallel Hyperparameter Tuning in Python

Language: Jupyter Notebook - Size: 54.2 MB - Last synced: 1 day ago - Pushed: 3 months ago - Stars: 315 - Forks: 36

JuliaAI/MLJ.jl

A Julia machine learning framework

Language: Julia - Size: 41.2 MB - Last synced: 25 days ago - Pushed: 26 days ago - Stars: 1,727 - Forks: 157

Releem/awesome-mysql-performance

🔥 A curated list of awesome links related to MySQL / MariaDB / Percona performance tuning

Size: 21.5 KB - Last synced: 22 days ago - Pushed: 5 months ago - Stars: 468 - Forks: 35

Shanmukhi1920/Energy_Efficiency_Prediction

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.

Language: Jupyter Notebook - Size: 3.7 MB - Last synced: 26 days ago - Pushed: 26 days 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: 29 days ago - Pushed: over 1 year ago - Stars: 1,255 - Forks: 298

romellfudi/MachineLearing

:trophy: Machine Learning Estimators

Language: Jupyter Notebook - Size: 15.6 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

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.)

Language: Shell - Size: 188 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 63 - Forks: 4

WenjieZ/TSCV

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

Language: Python - Size: 224 KB - Last synced: 2 days ago - Pushed: over 1 year ago - Stars: 246 - Forks: 42

pabl1ku/SVCHOSTSPLITTHRESHOLDINKB

How to Change Split Threshold for svchost.exe in Windows 10/11

Size: 15.6 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

Darveivoldavara/whisper_model_evaluator Fork of format37/vosk_model_evaluator

WER, MER, WIL of Whisper vs Vosk vs Google transcribators comparator

Size: 1.38 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

ymattu/MlBayesOpt

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

Language: R - Size: 3.64 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 44 - Forks: 15

wgcban/apt

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

Language: Python - Size: 942 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 0

Shanmukhi1920/Song_Genre_Classification

An Interactive Web Application to classify song genres based on audio features.

Language: Jupyter Notebook - Size: 2.21 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

ywan3223/ECG-Heartbeat-Classification

ECG Arrhythmia Detection with ResNet and Transfer Learning

Language: Jupyter Notebook - Size: 96.3 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

mdhabibi/Transparent-Malaria-Detection-CNN-CAM-LIME

Enhanced CNN model for malaria cell classification featuring Class Activation Mapping (CAM) for anomaly localization and LIME for interpretability, ensuring high accuracy and transparent AI diagnostics.

Language: Jupyter Notebook - Size: 24.6 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 4 - Forks: 0

joeliang0520/FinanceStatus

classification model to classify survey responses into one of the financial health categories.

Size: 10.3 MB - Last synced: 5 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

horaciobrites/Prediccion-de-ventas-de-insumos-de-oficina-por-Ecommerce

Este proyecto, desarrollado como parte del trabajo final de la carrera de Data Science de CODERHOUSE, aborda el desafío de prever la cantidad de ítems que una empresa de ventas de insumos venderá en los próximos meses.

Language: Jupyter Notebook - Size: 2.38 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

tanvir-ishraq/LoyaltyForecaster--Predictive-Model-project

End-to-end Prediction Model heavily using statistical Data Science covering the full Machine Learning Pipleline

Language: Jupyter Notebook - Size: 3.74 MB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

AmirHHasani/Manual-tuning-of-Convolutional-Neural-Networks-for-a-medical-image-dataset-x-ray-images-

Creating a good Convolutional Neural Network to classify our data. I used Model Checking to save the best model and VGG16 and ResNet50 to leverage pre-trained models. I ultimately used pre-trained models to fine tune a model.

Language: Jupyter Notebook - Size: 844 KB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

MainRo/xgbtune

a library to tune xgboost models

Language: Python - Size: 74.2 KB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 8 - Forks: 1

Divya-Bhargavi/DeepLearning-Notebooks

Implementation of Deep-learning techniques in pytorch

Language: Jupyter Notebook - Size: 3.18 MB - Last synced: 5 months ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 0

SudhakarKuma/GA-PID

MATLAB code for tuning a PID controller using Genetic Algorithm (GA)

Language: MATLAB - Size: 4.88 KB - Last synced: 8 months ago - Pushed: over 4 years ago - Stars: 3 - Forks: 4

osofr/stremr

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Language: R - Size: 4.97 MB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 34 - Forks: 8

Arek-KesizAbnousi/COVID-19-Cases-Modeling-via-Splines

we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.

Language: R - Size: 3.91 KB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

markkukuismin/gap-com

Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.

Language: R - Size: 218 KB - Last synced: 8 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

markkukuismin/MCPeSe

Monte Carlo Penalty Selection for graphical lasso

Language: R - Size: 140 KB - Last synced: 8 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 1

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.

Language: MATLAB - Size: 1.67 GB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 7 - Forks: 1

cerlymarco/keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.

Language: Jupyter Notebook - Size: 80.1 KB - Last synced: 25 days ago - Pushed: about 2 years ago - Stars: 59 - Forks: 14

thainamariani/clustering_algorithms_tuning

A multi-thread code for tuning and running several clustering algorithms.

Language: Python - Size: 21.2 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1

ankitk2109/DeepLearning

Deep Learning

Language: Jupyter Notebook - Size: 21.8 MB - Last synced: 11 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 2

ozgurkazancci/myconfigrepo

Size: 11.7 KB - Last synced: 11 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

FKENZOLS/classification_disease_project

ML classification project.

Language: Jupyter Notebook - Size: 5.05 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

miraytopal/Marketing-Campaign-Machine-Learning

A Predictive Model for Marketing Campaigns

Language: Jupyter Notebook - Size: 11.4 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 4 - Forks: 0

LeorFinkelberg/ZyOpt

Add-in for SCIP solver with support ML, DL, RL methods

Language: Python - Size: 61.5 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

uZer/ansible-role-nginx 📦

Manage nginx configuration and vhosts, with letsencrypt support and system tuning

Size: 22.5 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 1

umayrh/sparktuner

Autotuner for Spark applications

Language: Python - Size: 22 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 4 - Forks: 1

jakob-r/mlrHyperopt 📦

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Language: HTML - Size: 2.04 MB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 30 - Forks: 6

raghav-arora-1998/Random-Forests-Regression-Model

Size: 444 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

raghav-arora-1998/Classification-using-PCA-SVM

Size: 1000 Bytes - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

twigikit/algo-trading-homework

Implement an algo trading strategy that uses machine learning to automate the trade decisions

Language: Jupyter Notebook - Size: 5.73 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

IronMatt97/Mushrooms-edibility-classifier Fork of msalvati1997/mushrooms_classificator 📦

This project, developed for academic purpose, aims to predict mushrooms edibility using many machine learning practices. The dataset is taken from a study conducted in an university in Germany

Language: Jupyter Notebook - Size: 54.7 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

msikorski93/Abalone-Age-Prediction-Classification-or-Regression-Task-Improving-Model-Performance

The age of an abalone can be estimated by cutting its shell, staining it, and counting the number of rings in the shell through a microscope. However, this process is time-consuming, boring, and can cause death to the creature. Therefore, it is necessary to find another non-collision method for age estimation. Other physical measurements, which are easier to collect, can be used to determine the age. The subject of this notebook was to estimate the number of rings based on other independent features: either as a continuous value or as a classification problem. The task was completed successfully and we built our predictive models. With this dataset we are able to perform both regression and classification. We developed two supervised machine learning algorithms with scikit-learn library: polynomial regression and k-nearest neighbors. We also looked up for some techniques to tune up and improve their performance.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

cnpcshangbo/FOPD-tuner

Fractional order proportional derivative controller tuner

Language: HTML - Size: 2.08 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 5 - Forks: 3

mavrix93/LightCurvesClassifier

Package for machine learning of astronomical objects such as light curves

Language: Python - Size: 17.6 MB - Last synced: 8 months ago - Pushed: almost 3 years ago - Stars: 14 - Forks: 4

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).

Language: Jupyter Notebook - Size: 2.42 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 2 - Forks: 1

N3PDF/mcnntunes

Tuning Monte Carlo generators with machine learning.

Language: Python - Size: 24.8 MB - Last synced: 9 days ago - Pushed: about 2 years ago - Stars: 5 - Forks: 3

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.

Language: HTML - Size: 33.1 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

v-hemanth/House-Price-Predictor

House Price Prediction done on Bangalore House Price Dataset using Random Forest Regression with Hyper Parameter Tuning.

Language: Jupyter Notebook - Size: 2.98 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

saadhaxxan/Optimizing-Hyperparameters-Using-Grid-Search

Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning

Language: Jupyter Notebook - Size: 28.3 KB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 4 - Forks: 0

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.

Language: Python - Size: 8.95 MB - Last synced: over 1 year ago - Pushed: about 4 years ago - Stars: 13 - Forks: 5

alex65536/sofcheck-weights-tuning

Contains notebooks and datasets to tune the evaulation weights in SoFCheck

Language: Jupyter Notebook - Size: 76.3 MB - Last synced: over 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

JuliaAstroSim/ParameterSpace.jl

General tuning tools for julia. Dive into the parameter space of functions or external programs.

Language: Julia - Size: 33.2 KB - Last synced: 12 days ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

Marcus-V-Freitas/Avaliacao_Algoritmos_Supervisionados_Classificacao

Avaliação de vários algoritmos supervisionados realizando Tuning dos parâmetros com GridSearchCV

Language: Jupyter Notebook - Size: 99.6 KB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

rgmantovani/HpTuning

Machine Learning Hyper-parameter Tuning processes

Language: R - Size: 82 KB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 5 - Forks: 0

rohithteja/K-Nearest-Neighbours

Experimental analysis of KNN by using waveform dataset

Language: Python - Size: 225 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 4.71 MB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 1

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.

Language: C++ - Size: 528 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 12 - Forks: 3

prosperityai/SVM

Support Vector machine In detail: /implementation in Python&R/and tuning SVM parameters

Language: Jupyter Notebook - Size: 102 KB - Last synced: over 1 year ago - Pushed: over 6 years ago - Stars: 1 - Forks: 0

saichandrareddy1/Ensemble-Learning

Language: Jupyter Notebook - Size: 12.7 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

vinbhaskara/XTune-MLUtils

XTune: A custom python wrapper for XGBoost and LightGBM with numerous utility functions to prevent silly gotchas and save time!

Language: Python - Size: 164 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 2 - Forks: 0

Zhenye-Na/Deep-Learning-Specialization

⚛️ Deep Learning Specialization by deeplearning.ai

Language: Jupyter Notebook - Size: 114 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 1 - Forks: 2

DavideNardone/HYPO_RFS

HYPO_RFS is an algorithm for performing exhaustive grid-search approach for tuning the hyper-parameters of Ranking Feature Selection (RFS) approaches.

Language: Python - Size: 3.85 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

amirziai/autokeras

Hyper-parameter + encoding + architecture grid/random search for keras

Size: 3.91 KB - Last synced: about 1 year ago - Pushed: almost 7 years ago - Stars: 2 - Forks: 0

ColinShaw/cpp-pid-controller-driving-project

Turn-in project for Udacity's self-driving car program regarding PID control of a simulated car

Language: C++ - Size: 1.33 MB - Last synced: over 1 year ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

Related Keywords
tuning-parameters 67 machine-learning 26 tuning 11 hyperparameter-optimization 10 classification 8 random-forest 7 deep-learning 7 python 7 hyperparameter-tuning 6 machine-learning-algorithms 5 optimization 5 jupyter-notebook 4 gridsearchcv 4 neural-network 4 regression 4 keras-tensorflow 4 keras 4 supervised-learning 3 feature-selection 3 xgboost 3 logistic-regression 3 pid-controller 3 model-selection 3 neural-networks 3 r 3 gradient-boosting 3 data-science 3 convolutional-neural-networks 3 genetic-algorithm 3 tensorflow 3 grid-search 3 bayesian-optimization 3 artificial-neural-networks 2 random-search 2 configuration 2 sklearn 2 knn-classification 2 nginx 2 config 2 exploratory-data-analysis 2 clustering 2 ensemble-learning 2 pipeline 2 boosting 2 statistics 2 blackbox-optimization 2 ml 2 distributed-systems 2 deeplearning 2 performance 2 visualization 2 pca-analysis 2 tuning-systems 2 feature-engineering 2 monte-carlo-simulation 2 support-vector-machine 2 r-package 2 cross-validation 2 random-forest-classifier 2 svm-classifier 2 machine 2 python3 2 feature-extraction 2 regression-models 2 deep-neural-networks 2 adaboost 2 cnn 1 scikit-optimize 1 classification-model 1 dataexploration 1 matplotlib 1 model-tuning 1 modeling 1 pandas 1 seaborn 1 combinatorial-optimization 1 data-sceince 1 scip 1 ansible 1 ansible-role 1 cache 1 nginx-cache 1 nginx-proxy 1 churn-prediction 1 binary-relevance 1 clustering-algorithm 1 cluster-analysis 1 tf-keras 1 tensorflow-keras 1 pida-controller 1 rejection-sampling 1 networks 1 monte 1 metropolis-hastings 1 huge 1 graphical-lasso 1 gaussian-graphical-models 1 sub-sampling 1 power-law 1 igraph 1