Topic: support-vector-machine Goto Github
Some thing interesting about support-vector-machine
Some thing interesting about support-vector-machine
support-vector-machine,An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
User: afagarap
Home Page: https://arxiv.org/abs/1712.03541
support-vector-machine,[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
User: afagarap
Home Page: https://arxiv.org/pdf/1709.03082.pdf
support-vector-machine,Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
User: afagarap
Home Page: http://arxiv.org/abs/1801.00318
support-vector-machine,An implementation of the L2-SVM for breast cancer detection using the Wisconsin diagnostic dataset.
User: afagarap
support-vector-machine,[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
User: afagarap
Home Page: https://arxiv.org/pdf/1711.07831.pdf
support-vector-machine,Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
User: ahmetozlu
Home Page: https://www.youtube.com/watch?v=itmV7druy9Y&feature=youtu.be
support-vector-machine,Support Vector Machine in Python
User: alexanderfabisch
support-vector-machine,:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python
User: anmol-singh-jaggi
support-vector-machine,Ordinal Regression and Classification Algorithms
Organization: ayrna
Home Page: http://www.uco.es/grupos/ayrna/orreview
support-vector-machine,I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.
User: beegass
support-vector-machine,Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
Organization: cloudera
support-vector-machine,Machine learning semantic segmentation - Random Forest, SVM, GBC
User: dgriffiths3
support-vector-machine,Prediction of Beijing PM2.5 using classic machine learning methods
User: dieselmarble
support-vector-machine,Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization
User: giamuhammad
support-vector-machine,A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss
User: haotianmxu
support-vector-machine,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.
User: hongzhaohua
support-vector-machine,A system to recognize hand gestures by applying feature extraction, feature selection (PCA) and classification (SVM, decision tree, Neural Network) on the raw data captured by the sensors while performing the gestures.
User: iamjagdeesh
support-vector-machine,Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, 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
User: je-suis-tm
Home Page: https://je-suis-tm.github.io/machine-learning
support-vector-machine,This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
User: jingweitoo
support-vector-machine,A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
User: joymnyaga
support-vector-machine,This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.
User: kbasu2016
support-vector-machine,MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
User: ksopyla
support-vector-machine,Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
User: lauerfab
Home Page: http://mlweb.loria.fr
support-vector-machine,ML model for stock trend prediction using Python
User: lorransutter
support-vector-machine,Support Vector Regression for Unsupervised Machine Learning
Organization: madsjulia
Home Page: http://mads.gitlab.io
support-vector-machine,A simple implementation of support vector machine classifier in python.
User: mahesh147
support-vector-machine,**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
User: mainkoon81
support-vector-machine,M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
User: mbeyeler
support-vector-machine,Building and Deploying A Serverless Text Classification Web App
User: mdh266
Home Page: https://docwebapp-j3zdo3lhcq-uc.a.run.app/
support-vector-machine,LIBSVM for the browser and nodejs :fire:
Organization: mljs
Home Page: https://mljs.github.io/libsvm/
support-vector-machine,Support Vector Machine in Javascript
Organization: mljs
support-vector-machine,This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.
User: mo26-web
support-vector-machine,Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
User: mondejar
support-vector-machine,
User: namoshizun
support-vector-machine,gesture recognition toolkit
User: nickgillian
support-vector-machine,A curated list of Best Artificial Intelligence Resources
User: nivu
support-vector-machine,An Interactive Approach to Understanding Deep Learning with Keras
Organization: packtworkshops
support-vector-machine,An interactive approach to understanding Machine Learning using scikit-learn
Organization: packtworkshops
support-vector-machine,Stock predictor using Machine Learning
User: pdhimal1
support-vector-machine,Recognize traffic sign using Histogram of Oriented Gradients (HOG) and Colorspace based features. Support Vector Machines (SVM) is used for classifying images.
User: sarveshj
support-vector-machine,Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine
User: sksoumik
support-vector-machine,🔥🌟《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!
User: skylark0924
support-vector-machine,Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
User: snatch59
support-vector-machine,Learning to create Machine Learning Algorithms
User: srafay
support-vector-machine,Image Classification with `sklearn.svm`
User: whimian
support-vector-machine,Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
User: x4nth055
support-vector-machine,Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation
User: yannickkae
support-vector-machine,30 Semi-Supervised Learning Algorithms
User: ygzwqzd
support-vector-machine,R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
User: ymattu
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