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180 search results found

100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Framework ⭐ 4,017

Machine learning, computer vision, statistics and general scientific computing for .NET

Clairvoyant ⭐ 2,395

Software designed to identify and monitor social/historical cues for short term stock movement

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Coursera Ml Py ⭐ 1,032

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Opencv Machine Learning ⭐ 770

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

gesture recognition toolkit

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Orderbook Dynamics ⭐ 641

Modeling high-frequency limit order book dynamics with support vector machines

Machine_unlearning ⭐ 601

Existing Literature about Machine Unlearning

Emotion Recognition Using Speech ⭐ 392

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

Machine Learning Guide ⭐ 366

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Machine Learning Is All You Need ⭐ 337

🔥🌟《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!

2018 Machinelearning Lectures Esa ⭐ 324

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Node Svm ⭐ 284

Support Vector Machines for nodejs

Fuku Ml ⭐ 278

Simple machine learning library / 簡單易用的機器學習套件

Ecg Classification ⭐ 255

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

Speech_signal_processing_and_classification ⭐ 203

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of th

Jstarcraft Ai ⭐ 201

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.

Svm_mnist_digit_classification ⭐ 185

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

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Cnn Svm ⭐ 151

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

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Malware Classification ⭐ 140

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

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Machine_learning_a Z ⭐ 130

Learning to create Machine Learning Algorithms

Jlibsvm ⭐ 120

Efficient training of Support Vector Machines in Java

Machine Learning ⭐ 117

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

Sign Language Recognition ⭐ 102

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Ensemblesvm ⭐ 94

A Library for Ensemble Learning Using Support Vector Machines

Awesome Machine Learning ⭐ 84

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

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

Libsvmsharp ⭐ 80

C# wrapper of LibSVM

Classifiertoolbox ⭐ 75

A MATLAB toolbox for classifier: Version 1.0.7

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

LIBSVM for the browser and nodejs 🔥

Ordinal Regression and Classification Algorithms

Random Fourier Features ⭐ 66

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Classic_machine_learning ⭐ 62

Classic machine learning

Libsvm.net ⭐ 61

An easy way to use Support Vector Machines in your .NET projects (c# code)

Vehicle Tracking 2 ⭐ 60

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

Object Detection Via Hog Svm ⭐ 53

This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries are requires

Ml Cookbook ⭐ 52

Toolbox with machine learning algorithms and methods.

Aiml Projects ⭐ 44

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Support Vector Machines Succinctly ⭐ 42

Ml Algorithms Python ⭐ 41

This repository contains ML algorithms written in Python. 📚 🐍

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Icc 2019 Wc Prediction ⭐ 39

Predicting the winner of 2019 cricket world cup using random forest algorithm

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Mlbayesopt ⭐ 39

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

Python Machine Learning ⭐ 37

Python Machine Learning Algorithms

Twitter_geolocation ⭐ 35

Geolocating twitter users by the content of their tweets

Handwritten Digits Classification Using Knn Multiclass_perceptron Svm ⭐ 32

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Facerecognition ⭐ 31

Face recognition written in MATLAB. This code implements Fisher's Discriminant Analysis and SVMs using LIBSVM.

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Pulse Classification Svm ⭐ 30

Classification of emotions based on age and pulse rate using Support Vector Machines

Multiclass_linearsvm_with_sgd ⭐ 29

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

Cnn Svm Classifier ⭐ 29

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

Ml_segmentation ⭐ 29

Machine learning semantic segmentation - Random Forest, SVM, GBC

Support Vector Machine in Javascript

Coursera Ml Py Sj ⭐ 28

Twitter Sentiment Classifier ⭐ 27

A twitter sentiment classifier based on Support Vector Machines algorithm

Wisconsin Breast Cancer ⭐ 27

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

This is the page for the book Digital Signal Processing with Kernel Methods.

Nsl Kdd Network Intrusion Detection ⭐ 25

Machine Learning Algorithms on NSL-KDD dataset

R Stats Machine Learning ⭐ 25

Misc Statistics and Machine Learning codes in R

Svm From Scratch ⭐ 24

An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.

Cost-Sensitive Support Vector Machines

Shapley_regressions ⭐ 22

Statistical inference on machine learning or general non-parametric models

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

The Fashion-MNIST dataset and machine learning models.

Machine_learing_algo_python ⭐ 21

implement the machine learning algorithms by python for studying

Sparsegdlibrary ⭐ 21

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Support Vector Machine in Python

Multilevel Support Vector Machines

Rehline Svm ⭐ 20

A tiny and header-only C++ library aiming to be the fastest linear SVM solver.

Fudanuniversity Datamining ⭐ 18

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Line Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Diabetes_predictions_application ⭐ 18

Diabetes predictions application with gui

Support Vector Regression for Unsupervised Machine Learning

Object Detection With Svm And Opencv ⭐ 18

detect objects using svm and opencv

Quantum Machine Learning ⭐ 18

This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).

Cml_amp_anomaly_detection ⭐ 18

Apply modern, deep learning techniques for anomaly detection to identify network intrusions.

Ai Project ⭐ 16

Stock predictor using Machine Learning

Bayesiansvm ⭐ 16

Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"

Quasi Newton S3vm ⭐ 15

An implementation of the Quasi-Newton Semi-Supervised Support Vector Machine Algorithm

Textclassificationapp ⭐ 15

Building and Deploying A Serverless Text Classification Web App

Fastmapsvm ⭐ 15

Official implementation of FastMapSVM algorithm for classifying complex objects.

Emotion Recognition From Tweets ⭐ 14

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

Machinelearning ⭐ 14

A set of base classes in order to perfom training scripts for Neural Networs ( by means of SNNS) and SVM ( by means of SVM Light and SVM Class)

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Text_classification_baseline_code ⭐ 13

The code for the ACL 2023 paper "Linear Classifier: An Often-Forgotten Baseline for Text Classification".

Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/

PSVM: Parallelizing Support Vector Machines on Distributed Computers

Support Vector Machine (SVM) library for Python with GPU

Vechicle Detection Tracking ⭐ 13

Vehicle detection and tracking using linear SVM classifier

Bankruptcy Prediction Using Machine Learning ⭐ 12

Using various machine learning models to predict whether a company will go bankrupt

A Generalized Multiclass Support Vector Machine

Highfrequencytradingsvms ⭐ 12

This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.

Survival Support Vector Machine ⭐ 11

Fast Training of Support Vector Machines for Survival Analysis

Forecasting Weather Using Machine Learning ⭐ 11

Forcasting Weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

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