support-vector-machine

There are 12 repositories under support-vector-machine topic.

nivu / ai_all_resources
A curated list of Best Artificial Intelligence Resources
machine-learning regression neural-networks tensorflow data-science decision-trees deep-learning mathematics artificial-intelligence rnn gan reinforcement-learning convolutional-neural-networks support-vector-machine random-forest knn kmeans statquest python statistics
Language:Jupyter Notebook 1346
nickgillian / grt
gesture recognition toolkit
gesture-recognition grt machine-learning gesture-recognition-toolkit support-vector-machine random-forest kmeans dynamic-time-warping softmax linear-regression
Language:C++ 880
mbeyeler / opencv-machine-learning
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
machine-learning opencv jupyter-notebook conda-environment python decision-tree support-vector-machine classifying-handwritten-digits bayesian-learning
Language:Jupyter Notebook 820
x4nth055 / emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
machine-learning speech-emotion-recognition emotion-recognition emotion-recognizer sklearn kneighborsclassifier random-forest-classifier mfcc feature-extraction emotion-detection keras support-vector-machine gradient-boosting mlp-classifier librosa deep-learning neural-networks recurrent-neural-networks
Language:Python 656
mondejar / ecg-classification
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
artificial-neural-networks beats inter-patient mit-bih-arrhythmia patients python scikit-learn support-vector-machine
Language:Python 582
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!
deep-reinforcement-learning keras pytorch tensorflow convolutional-neural-networks lstm dqn ddpg actor-critic ppo trpo qlearning logistic-regression support-vector-machine k-nearest-neighbours naive-bayes-classifier decision-trees random-forest gan resnet
Language:Python 411
AFAgarap / cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
artificial-intelligence artificial-neural-networks classification convolutional-neural-networks deep-learning machine-learning support-vector-machine supervised-learning softmax-layer tensorflow
Language:Python 396
srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datascience dataprocessing machine-learning-algorithms machine-learning-az simple-linear-regression multiple-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regressor classification-algorithims logistic-regression k-nearest-neighbors support-vector-machine kernel-svm naive-bayes-classifier decision-tree-classifier random-forest-classifier k-means-clustering k-means-implementation-in-python
Language:Python 393
ksopyla / svm_mnist_digit_classification
MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.
support-vector-machine scikit-learn mnist-classification svm-mnist svm-mnist-classification scikitlearn-mnist
Language:Python 283
machine-learning
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
naive-bayes support-vector-machine stochastic-gradient-descent batch-gradient-descent newton-method multinomial-naive-bayes linear-discriminant-analysis sequential-minimal-optimization k-nearest-neighbors dbscan expectation-maximization expectation-maximization-algorithm factor-analysis independent-component-analysis latent-semantic-analysis low-rank-approximation singular-value-decomposition ridge-regression lasso-regression em-algorithm
Language:Jupyter Notebook 258
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.
machine-learning java linear nearest-neighbor neural-network probabilistic-graphical rule support-vector-machine tree algorithm structure nd4j dl4j
Language:Java 227
YGZWQZD / LAMDA-SSL
30 Semi-Supervised Learning Algorithms
machine-learning semi-supervised-learning deep-learning pytorch scikit-learn toolkit python computer-vision natural-language-processing generative-model automl gnn graph svm self-supervised-learning support-vector-machine tabular-data inductive-learning transductive-learning neural-network
Language:Python 212
AFAgarap / malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
convolutional-neural-networks support-vector-machine tensorflow classification image-classification artificial-neural-networks machine-learning supervised-learning artificial-intelligence malware-detection computer-vision deep-learning multilayer-perceptron recurrent-neural-networks gated-recurrent-units
Language:Python 172
AFAgarap / gru-svm
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
tensorflow rnn-tensorflow svm-classifier intrusion-detection recurrent-neural-networks gru support-vector-machine softmax classification svm classification-task rnn supervised-learning artificial-neural-networks artificial-intelligence machine-learning gru-svm gru-model
Language:Python 170
Anmol-Singh-Jaggi / Sign-Language-Recognition
:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python
sign-language python machine-learning image-processing opencv support-vector-machine logistic-regression nearest-neighbor
Language:Python 132
ayrna / orca
Ordinal Regression and Classification Algorithms
machine-learning ordinal-classification ordinal-regression support-vector-machine matlab octave
Language:MATLAB 116
dgriffiths3 / ml_segmentation
Machine learning semantic segmentation - Random Forest, SVM, GBC
machine-learning segmentation python random-forest support-vector-machine image-segmentation
Language:Python 102
ahmetozlu / vehicle_counting_hog_svm
Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
opencv vehicle-detection vehicle-tracking vehicle-counting hog svm hog-features gradients histogram-of-oriented-gradients vehicle-detection-and-tracking support-vector-machine
Language:C++ 98
mljs / libsvm
LIBSVM for the browser and nodejs :fire:
svm libsvm cross-validation emscripten support-vector-machine regression classification
Language:JavaScript 87
lauerfab / MLweb
Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
linear-algebra javascript-library machine-learning statistics regression support-vector-machine
Language:JavaScript 85
AFAgarap / wisconsin-breast-cancer
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
machine-learning machine-learning-algorithms scikit-learn tensorflow nearest-neighbours-classifier support-vector-machine multilayer-perceptron recurrent-neural-network linear-regression logistic-regression softmax-regression classification binary-classification supervised-learning
Language:Python 63
snatch59 / cnn-svm-classifier
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
support-vector-machine confusion-matrix classify-images quadratic-discriminant-analysis linear-discriminant-analysis t-sne random-forest extra-trees-classifier k-nearest-neighbors multi-layer-perceptron tensorflow
Language:Python 63
whimian / SVM-Image-Classification
Image Classification with `sklearn.svm`
image-classification machine-learning scikit-learn support-vector-machine
Language:Jupyter Notebook 58
cloudera / CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
anomaly-detection tensorflow autoencoder generative-adversarial-network support-vector-machine principle-component-analysis
Language:Python 51
PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
machine-learning keras artificial-neural-networks magnetic-resonance-imaging logistic-regression decision-trees scikit-learn k-means-clustering hyperparameter-tuning model-evaluation tensorflow classification regression support-vector-machine model-tuning regularization cross-validation linear-transformation scalars vectors
Language:Jupyter Notebook 51
HaotianMXu / Multiclass_LinearSVM_with_SGD
A demonstration of how to use PyTorch to implement Support Vector Machine with L2 regularizition and multiclass hinge loss
hinge-loss pytorch support-vector-machine
Language:Python 48
ymattu / MlBayesOpt
R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with gaussian process
pacakge r random-forest support-vector-machine tuning-parameters xgboost
Language:R 48
mahesh147 / Support-Vector-Machine
A simple implementation of support vector machine classifier in python.
support-vector-machine python3 machine-learning machine-learing-algorithms sklearn
Language:Python 45
sksoumik / Forecasting-Weather-Using-Machine-Learning
Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine
scikit-learn pandas support-vector-machine logistic-regression decision-tree multinomial-naive-bayes python
Language:Python 44
PacktWorkshops / The-Machine-Learning-Workshop
An interactive approach to understanding Machine Learning using scikit-learn
mean-shift dbscan-clustering k-means-clustering silhouette-score calinski-harabaz-score naive-bayes-algorithm support-vector-machine artificial-neural-networks
Language:Jupyter Notebook 43
divyadhimaan / eSignify
A conceptual model to detect and verify signatures on bank cheques. This is our Final Year project at Thapar Institute of Engineering and Technology.
capstone-project connected-components final-year-project machine-learning ocr-recognition python signature-detection signature-verification union-find svm ocr support-vector-machine line-sweep-algorithm
Language:Python 42
nsoojin / coursera-ml-py-sj
andrew-ng-machine-learning andrew-ng-ml-course andrew-ng-course coursera-machine-learning numpy-exercises machine-learning-exercises neural-network kmeans-clustering support-vector-machine logistic-regression anomaly-detection
Language:Python 42
mljs / svm
Support Vector Machine in Javascript
svm svm-classifier svm-model support-vector-machine javascript
Language:JavaScript 39
Financial-Market-Regime-Classification
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
asset-allocation momentum random-forest time-series value regime-classification multi-layer-perceptron support-vector-machine factor-investing finance classification logistic-regression
Language:Jupyter Notebook 39
eltontay / Ethereum-Fraud-Detection
Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning
ethereum etherscan extreme-gradient-boosting fraud-detection kaggle lightgbm logistic-regression machine-learning mining multi-layer-perceptron naive-bayes random-forest stacked-ensembles support-vector-machine time-series
Language:Jupyter Notebook 37
AgriSens
ravikant-diwakar / AgriSens
AI Powered Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.
cnn crop-recommendation ml plant-disease-identification streamlit weather-api webapp decision-tree gaussian-naive-bayes knn logistic-regression random-forest-classifier support-vector-machine xgboost crop-prediction disease-prediction fertilizer-recommendation ieee agrisens farming-guide
Language:Jupyter Notebook 37

support-vector-machine

nivu / ai_all_resources

nickgillian / grt

mbeyeler / opencv-machine-learning

x4nth055 / emotion-recognition-using-speech

mondejar / ecg-classification

Skylark0924 / Machine-Learning-is-ALL-You-Need

AFAgarap / cnn-svm

srafay / Machine_Learning_A-Z

ksopyla / svm_mnist_digit_classification

je-suis-tm / machine-learning

HongZhaoHua / jstarcraft-ai

YGZWQZD / LAMDA-SSL

AFAgarap / malware-classification

AFAgarap / gru-svm

Anmol-Singh-Jaggi / Sign-Language-Recognition

ayrna / orca

dgriffiths3 / ml_segmentation

ahmetozlu / vehicle_counting_hog_svm

mljs / libsvm

lauerfab / MLweb

AFAgarap / wisconsin-breast-cancer

snatch59 / cnn-svm-classifier

whimian / SVM-Image-Classification

cloudera / CML_AMP_Anomaly_Detection

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

HaotianMXu / Multiclass_LinearSVM_with_SGD

ymattu / MlBayesOpt

mahesh147 / Support-Vector-Machine

sksoumik / Forecasting-Weather-Using-Machine-Learning

PacktWorkshops / The-Machine-Learning-Workshop

divyadhimaan / eSignify

nsoojin / coursera-ml-py-sj

mljs / svm

YannickKae / Financial-Market-Regime-Classification

eltontay / Ethereum-Fraud-Detection

ravikant-diwakar / AgriSens