Ruby language bindings for LIBSVM

Open Source Landmarking Library

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Fast Incremental Support Vector Data Description implemented in Python

An RGBD perception pipeline for object recognition with the PR2 robot using ROS, PCL, and SVM in Gazebo simulation

The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).

Custom implementation of Support Vector Machines using Python and NumPy

Matlab scripts that implement necessary algorithmic procedures to automatically color a black and white image. In particular, you need to develop code to perform some computing activities:

🍃 Spam Classifier with Data Preparation and Support Vector Machine (SVM)

SPPU - BE ENTC (2015 Pattern) - Elective III

A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.

Testing the quality of red wine as Good or Bad according to the given parameters from the Kaggle Dataset by using Support Vector Machine supervised ML Algorithm.

This project involves the implementation of efficient and effective LinearSVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.

baby cry analysis to identify the reason behind baby's cry

No description provided.

Text mining and SVM training (mini-batch SGD with momentum)

Using Stanford CoreNLP and SVM-Rank in a Supervised Approach to Text Difficulty Ranking

No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean Image

Reducing the Number of Training Samples for Fast Support Vector Machine Classification python implementation

svm classifier that will generate label by folder name

2019 [Julia] GPU CUDAnative SVM: a stochastic decomposition implementation of support-vector machine training

Contains code involving CS 503 - Lab 3 : Implementation of Support vector Machine.

No description provided.

Spark Machine Learning Library - learning and developing Machine Learning algorithms

A web application to see effect of C hyperparameter on classification boundary and marginal threshold in SVM.

Predicts video game commercial success using training data and SVM.

Object detection and recognition in digital images using Chebychev indexation and Support Vector Machines

This a very simple SVM Spam Emails Classification problem, I used Sklearn library to train the model and get better results

Implemented SVM classifier, visualized decision boundary, performed a unit test to verify functionality

A simple spam classifier using SVM with a linear kernel.