Ruby language bindings for LIBSVM
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Updated
Dec 7, 2023 - C++
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 datase…
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
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.
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
Using Stanford CoreNLP and SVM-Rank in a Supervised Approach to Text Difficulty Ranking
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.
Text mining and SVM training (mini-batch SGD with momentum)
No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean Image
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.
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