trees-coder's Stars
shiluqiang/PSO_python
PSO algorithm for multi-parameters optimizaiton
aliasgharheidaricom/RIME-A-physics-based-optimization
RIME A physics based optimization algorithm, Neurocomputing, 2023 https://doi.org/10.1016/j.neucom.2023.02.010, This paper proposes an efficient optimization algorithm based on the physical phenomenon of rime-ice
VG-TechCenter/Optimizers
麻雀,鲸鱼,正余弦,北方苍鹰,遗传,粒子群,灰狼,蜻蜓,蝗虫,多元宇宙等优化算法.
matteocacciola/pyvolutionary
This repository contains pyVolutionary, a package collecting metaheuristic algorithms
thieu1995/mealpy
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
aadhiseshannsut/aiprojectsem4
Pelican Optimization Algorithm
holgern/pyyawt
Yet another python wavelet toolbox
zhulei227/ML_imblearn
类别不平衡学习,包括采样、代价敏感学习、决策输出补偿以及集成学习等内容
ZhiningLiu1998/awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
yanxum/aco_feature_selection_svm_classify
Ant colony optimization (aco) algorithm is used to select the features of hyperspectral remote sensing image bands,And then use Support Vector Machines(svm) to classify pixels.
Jean-njoroge/Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
giangtranml/ml-from-scratch
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
NOVA-IMS-Innovation-and-Analytics-Lab/geometric-smote
Implementation of the Geometric SMOTE over-sampling algorithm.
ChidhvilasTanay/SVM_WOA_BTech_Project
An Improved Support Vector Machine for medical diagnosis using Whale Optimization Algorithm ( Bio-Inspired, Meta-Heuristic ) for Hyperparameter Optimization ( C, Gamma).
fengkai35/GWO_RBF_SVM
It is a project of SVM optimization algorithm which use the Grey Wolf Optimizer
analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
neuropsychology/NeuroKit
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
frannfuri/lempelziv-testing
Implementation of Lempel-Ziv Complexity metric and tests to check interpretability.
cingtiye/Basic-time-domain-and-frequency-domain-features-of-signals
iTCf/PCIcalc
The module allows to compute the Perturbational Complexity (LZ) of Casarotto et al. 2016 (Casarotto S, Comanducci A, Rosanova M, Sarasso S, Fecchio M, Napolitani M, et al. Stratification of unresponsive patients by an independently validated index of brain complexity: Complexity Index. Annals of Neurology. 2016;80: 718–729) and it will gradually be upgraded to the newer and more stable versions.
vrcarva/vmdpy
Variational mode decomposition (VMD) in Python
arthurpessa/ordpy
A Python package for data analysis with permutation entropy and ordinal network methods.
glkuzi/MFDFA
Realization of MFDFA method
moooises/MFDFApp
Implementation of the MFDFA in python folling this paper https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3366552/
szhan/pyrqa
Recurrence Quantification Analysis of Large-Scale Time Series
forrestbao/pyeeg
Python + EEG/MEG = PyEEG
stfbnc/fathon
python package for DFA (Detrended Fluctuation Analysis) and related algorithms
mir-am/LightTwinSVM
LightTwinSVM Program - Simple and Fast Implementation of Standard TwinSVM Classifier
gjtrowbridge/simple-mkl-python
Implementation of the SimpleMKL algorithm (multiple kernel SVM)
arnav-kansal/Twin-SVM
Twin SVM implementation