support-vector-machine
There are 785 repositories under support-vector-machine topic.
nivu/ai_all_resources
A curated list of Best Artificial Intelligence Resources
nickgillian/grt
gesture recognition toolkit
mbeyeler/opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
mondejar/ecg-classification
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Skylark0924/Machine-Learning-is-ALL-You-Need
🔥🌟《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!
srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
ksopyla/svm_mnist_digit_classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
je-suis-tm/machine-learning
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
HongZhaoHua/jstarcraft-ai
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.
YGZWQZD/LAMDA-SSL
30 Semi-Supervised Learning Algorithms
AFAgarap/malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
AFAgarap/gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Anmol-Singh-Jaggi/Sign-Language-Recognition
:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python
ayrna/orca
Ordinal Regression and Classification Algorithms
dgriffiths3/ml_segmentation
Machine learning semantic segmentation - Random Forest, SVM, GBC
ahmetozlu/vehicle_counting_hog_svm
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
lauerfab/MLweb
Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
mljs/libsvm
LIBSVM for the browser and nodejs :fire:
snatch59/cnn-svm-classifier
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
whimian/SVM-Image-Classification
Image Classification with `sklearn.svm`
AFAgarap/wisconsin-breast-cancer
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
HaotianMXu/Multiclass_LinearSVM_with_SGD
A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss
PacktWorkshops/The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
ymattu/MlBayesOpt
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
mahesh147/Support-Vector-Machine
A simple implementation of support vector machine classifier in python.
sksoumik/Forecasting-Weather-Using-Machine-Learning
Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine
mljs/svm
Support Vector Machine in Javascript
cloudera/CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
PacktWorkshops/The-Machine-Learning-Workshop
An interactive approach to understanding Machine Learning using scikit-learn
LorranSutter/PredictStock-SVM
ML model for stock trend prediction using Python
pdhimal1/AI-Project
Stock predictor using Machine Learning
BeeGass/Self-Taught-Machine-Learning
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.
YannickKae/Financial-Market-Regime-Classification
Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation