106 results for “topic:svm-training”
Ruby language bindings for LIBSVM
Open Source Landmarking Library
Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
Example of Machine Learning application: State of Charge estimation of a battery using SVR
My TE Seminar mini project
Speaker Diarization is the first step in many early audio processing and aims to solve the problem ”who spoke when”. It therefore relies on efficient use of temporal information from extracted audio features.
🍃 Spam Classifier with Data Preparation and Support Vector Machine (SVM)
Project to Solve a SVM fitting problem in MATLAB using a consensus distributed ADMM approach and CVX. Two SMW has been trained and tested on different datasets.
An undergraduate project to evaluate classifiers for facial expression recognition.
Fisheriris dataset classifier in Matlab
AgriAid is an AI-powered tool for farmers & agricultural agents in Bangladesh, offering plant disease forecasting & identification. Using machine learning, deep learning & Python, it helps increase crop yield & food security.
Proof of concept of a simple SVM Region Classifier using PdfPig and Accord.Net. The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
This is a machine learning project made on Credit Card Fraud Detection. The data is taken from Kaggle. Different classification machine learning algorithms have been applied to get the maximum accuracy.
This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a particular product or not.
Soft-margin SVM gradient-descent implementation in PyTorch and TensorFlow/Keras
SPPU - BE ENTC (2015 Pattern) - Elective III
No description provided.
Domain Discovery for the Sparkler Crawl Environment
No description provided.
Animates the SVM Decision Boundary Hyperplane on the Iris data
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
A series of notebooks on Support Vector Machine algorithm
Code for IoT paper 'Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices'
Handwritten Digit Recognition Model
baby cry analysis to identify the reason behind baby's cry
Stock market analsis with python tools
Throtale is a Automated API throttling system (Rate-limiting) open source project it will predict dynamically the rate limit at particular time periods.
Using Stanford CoreNLP and SVM-Rank in a Supervised Approach to Text Difficulty Ranking
Signature Verification using Deep Convolution Neural Networks
DetectHer is a lightweight ML project that detects gendered harassment on Twitter using interpretable models like Logistic Regression and SVM. Built from scratch with real-time scraped data and TF-IDF features, it balances accuracy, speed, and transparency, no black-box models, no GPU needed.