svm-learning

Here are 54 public repositories matching this topic...

febeling / rb-libsvm

Ruby language bindings for LIBSVM

ruby machine-learning svm ml ruby-bindings libsvm svm-training svm-learning svm-classifier rubyml ruby-language-bindings

Updated Dec 7, 2023
C++

uricamic / clandmark

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Open Source Landmarking Library

svm detection output landmarks facial svm-training svm-learning structured svm-classifier

Updated Aug 7, 2019
Jupyter Notebook

jhu-lcsr / sp_segmenter

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

computer-vision point-cloud ros vision classification svm-training sp-segmenter svm-learning svm-model

Updated Aug 25, 2017
C++

hs-jiang / FISVDD

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Fast Incremental Support Vector Data Description implemented in Python

iot paper svm outlier-detection svm-learning aaai online-learning online-algorithms anomaly-detection gaussian-kernel online-learning-algorithms one-class-svm svdd one-class-classification outlier-detection-algorithm aaai2019 aaai19 aaai-19 support-vectors

Updated Sep 15, 2020
Python

jupidity / pr2-perception-pick-and-place

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

computer-vision ros pcl svm-learning

Updated Nov 8, 2017
C++

Goutam1511 / Sign-Language-Recognition-using-Scikit-Learn-and-CNN

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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 datase…

machine-learning cnn artificial-intelligence artificial-neural-networks image-recognition python2 svm-learning svm-model svm-classifier cnn-for-visual-recognition cnn-classification

Updated Mar 18, 2018
Python

nihil21 / custom-svm

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Custom implementation of Support Vector Machines using Python and NumPy

python numpy svm python3 svm-learning svm-classifier svm-kernel

Updated Nov 26, 2023
Jupyter Notebook

pprattis / image-analysis-for-segmentation-of-grayscale-image-

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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:

computer-science matlab svm image-processing student segmentation image-analysis svm-learning program svm-classifier superpixels lab-color gabor-filters superpixel-segmentation gabor-feature-extraction color-based-segmentation slic-algorithm surf-filters surf-feature-extraction

Updated Dec 10, 2019
MATLAB

javascript-machine-learning / svm-spam-classifier-javascript

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

javascript machine-learning svm machine-learning-algorithms support-vector-machine support-vector-machines svm-training svm-learning svm-model svm-classifier svm-library

Updated Dec 28, 2017
JavaScript

hemantghuge / Machine_Learning_Elective_III

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SPPU - BE ENTC (2015 Pattern) - Elective III

Updated Jun 9, 2020
Jupyter Notebook

BALaka-18 / SVM_Visual_Tool

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

svm webapp svm-learning svm-classifier decision-boundary decision-boundary-visualizations

Updated Sep 23, 2020
Python

prashant900555 / ML-svm-red-wine-quality

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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.

python machine-learning jupyter svm machine-learning-algorithms jupyter-notebook svm-learning svm-model svm-classifier kaggle-dataset

Updated Jul 4, 2020
Jupyter Notebook

VaghinakBasentsyan / BI

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django sklearn python3 svm-learning svm-model svm-classifier federal-reserve-bank

Updated Jul 6, 2023
Python

ibodumas / linearSVM

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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.