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

nueramic-mathml

ML optimization on torch

stagesepx

detect stages in video automatically

gensvm

Generalized Multiclass Support Vector Machines

torchsvm

A PyTorch-based package to solve kernel SVM with GPU

lamda-ssl

30 Semi-Supervised Learning Algorithms

torchkm

A PyTorch-based package to solve kernel SVM with GPU

kernelmethods

Kernel methods and classes for composable kernel learning workflows.

skl2neonsvm

Convert scikit-learn SVM based models to neonsvm format

sawmil

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

machlearn

A Simple Yet Powerful Machine Learning Python Library

metasklearn

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

pytrain

Machinelearning library for python

explainpolysvm

Module for Global and Local explanations and feature selection for Support Vector Machines trained with polynomial kernels.

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.

phenotrex

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

qlearnkit

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

classification-algorithm

ALL Classifier Algorithm

pysvm

PySVM : A NumPy implementation of SVM based on SMO algorithm

naive-feature-selection

Naive Feature Selection

tensorflow-kernels

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

mysvr

A standard Support Vector Regression.