support-vector-machine

gesture recognition toolkit

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

Learning to create Machine Learning Algorithms

A curated list of Best Artificial Intelligence Resources

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Ordinal Regression and Classification Algorithms

LIBSVM for the browser and nodejs 🔥

Machine learning semantic segmentation - Random Forest, SVM, GBC

R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process

Image Classification with `sklearn.svm`

Python machine learning applications in image processing and algorithm implementations including Matrix Completion, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss

An Interactive Approach to Understanding Deep Learning with Keras

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Support Vector Machine in Javascript

Stock predictor using Machine Learning

Support Vector Machine in Python

A simple implementation of support vector machine classifier in python.