Svm Python Packages

fukuml

Simple machine learning library / 簡單易用的機器學習套件

intronic

Retrieve annotated intron sequences from an annotated genome and classify them as minor (U12-type) or major (U2-type) using a support vector machine model.

stree

Oblique Tree classifier based on SVM nodes

rusvm

A Python interface to rusvm

nueramic-mathml

ML optimization on torch

gensvm

Python package for the GenSVM classifier

stagesepx

detect stages in video automatically

metasklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

explainpolysvm

ExplainPolySVM is a python package to provide interpretation and explainability to Support Vector Machine models trained with polynomial kernels. The package can be used with any SVM model as long as the components of the model can be extracted.

lamda-ssl

30 Semi-Supervised Learning Algorithms

sawmil

Multiple-Instance SVM models in Python (based on Gurobi and OSQP solvers)

torchkm

TorchKM is a GPU-accelerated PyTorch-based library for kernel machines including kernel SVM with a focus on fast and integrated train + tune workflows.

kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

againml

ML / DL Algorithms implemented from scratch. Developed with only numpy as dependency. Machine Learning Algorithms such as Support Vector Machine, Linear Regression, Artificial Neural Networks and other data transformation algorithms are implemented. Project is released as a python package and can be download from Python Package Installer.

pytrain

Machine Learning library for python

phenotrex

Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn

machlearn

A Simple Yet Powerful Machine Learning Python Library

optiml

Optimizers for/and sklearn compatible Machine Learning models

torchsvm

TorchKM is a GPU-accelerated PyTorch-based library for kernel machines including kernel SVM with a focus on fast and integrated train + tune workflows.

pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

qlearnkit

A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane

naive-feature-selection

Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884

mysvr

A standard Support Vector Regression.

skl2neonsvm

Convert scikit-learn SVM based models to neonsvm format