Svm Python Packages

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.

fukuml

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

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.

stree

Oblique Tree classifier based on SVM nodes

optiml

Optimizers for/and sklearn compatible Machine Learning models

gensvm

Python package for the GenSVM classifier

metasklearn

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

nueramic-mathml

ML optimization on torch

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.

sawmil

Open-source Python library providing a collection of Support Vector Machine (SVM) classifiers for multiple-instance learning (MIL): SVM, NSK, sMIL and sAwMIL.

stagesepx

detect stages in video automatically

lamda-ssl

LAMDA-SSL is an useful toolkit for semi-supervised learning.

rusvm

A Python interface to rusvm

kernelmethods

Kernel methods and classes for composable kernel learning workflows.

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.

classification-algorithm

ALL Classifier Algorithm

machlearn

A Simple Yet Powerful Machine Learning Python Library

pytrain

Machinelearning library for python

againml

Machine Learning Algorithms implemented from scratch in Python

naive-feature-selection

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

qlearnkit

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

phenotrex

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

tensorflow-kernels

A package with Tensorflow (both CPU and GPU) implementation of most popular Kernels for kernels methods (SVM, MKL...).

pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm