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machine-learning-algorithms x

72 search results found

Pattern_classification ⭐ 4,052

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Stellargraph ⭐ 2,768

StellarGraph - Machine Learning on Graphs

Smartcore ⭐ 600

A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.

Machine Learning ⭐ 397

Implementation of different ML Algorithms from scratch, written in Python 3.x

Lightml.jl ⭐ 366

Minimal and clean examples of machine learning algorithms implemented in Julia

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

Time Series Classification And Clustering With Reservoir Computing ⭐ 263

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

Seal Ci ⭐ 201

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Scala Library/REPL for Machine Learning Research

Sgdlibrary ⭐ 181

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Machine Learning Algorithms ⭐ 107

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Ml Dl Scripts ⭐ 106

The repository provides usefull python scripts for ML and data analysis

Mlwithtensorflow2ed ⭐ 101

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

Openml R ⭐ 90

R package to interface with OpenML

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Rankpruning ⭐ 79

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Mljar Examples ⭐ 55

Examples how MLJAR can be used

Machine Learning Andrewng Deeplearning.ai ⭐ 49

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

Linxgboost ⭐ 48

Extension of the awesome XGBoost to linear models at the leaves

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

A random forest

Assistant Skill Analysis ⭐ 40

Dialog Skill Analysis framework for Watson Assistant

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

Hierarchical self-organizing maps for unsupervised pattern recognition

Multitrain ⭐ 34

Test several machine learning models on your dataset with few lines of code

ugtm: a Python package for Generative Topographic Mapping

Machinelearningseries ⭐ 28

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

Wisconsin Breast Cancer ⭐ 27

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

Gdlibrary ⭐ 27

Matlab library for gradient descent algorithms: Version 1.0.1

Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems

Decision Stream ⭐ 19

Clojure implementation of the paper "Decision Stream: Cultivating Deep Decision Trees"

Machine Learning ⭐ 17

A set of jupyter notebooks

Ml_course ⭐ 15

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Fuzzy Dempster Shafer ⭐ 15

A fuzzy machine learning algorithm utilizing Dempster-Shafer and Bayesian Theory

Lightweight Machine Learning Classics with R (Book Draft)

Machine Learning Templates ⭐ 13

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Sefr_multiclass_classifier ⭐ 12

Code for the multiclass classifier version of SEFR

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Satsense ⭐ 10

Satsense is a Python library for land use/cover classification using satellite imagery

Ml Classifier ⭐ 10

Classify news articles into different categories using Machine Learning

Classifying Sports Texts With Naive Bayes ⭐ 9

Classifying Sports Texts with Naive Bayes

Tensorflow Getting Started ⭐ 9

Tensorflow Quick Introduction

Brainnet Ml Toolbox ⭐ 9

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

Poker Hand Recognition ⭐ 9

Classification and recognition of poker hands via OpenCV and machine learning algorithms

Logitboost ⭐ 9

LogitBoost classification algorithm built on top of scikit-learn

Machine Learning Using Python ⭐ 9

This repo contains the files created for machine learning using python

This repository contains Sentiment Classification, Word Level Text Generation, Character Level Text Generation and other important codes/notes on NLP. Python and Keras are used for implementation.

Cifar10 Object Recognition ⭐ 9

{Python}: Mix-Match of several image Processing and Machine Learning Techniques for object recognition

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Data Science Projects ⭐ 8

{PySpark, R, Python}: Several Data Science projects

Scikit Mlm ⭐ 8

Minimal Learning Machine implementation using the scikit-learn API.

Sign Language Recognition Using Scikit Learn And Cnn ⭐ 7

The project aims at building a machine learning model that will be able to classify the various hand gestures used for fingerspelling in sign language. In this user independent model, classification machine learning algorithms are trained using a set of image data and testing is done. Various machine learning algorithms are applied on the datasets, including Convolutional Neural Network (CNN).

Machine_learning ⭐ 7

Machine Learning - Coursera.org

A collection of machine learning algorithms for object pascal

Audio Genre Classification ⭐ 7

GTZAN Music Genre Dataset Classification

A Java implementation of the k-nearest neighbors algorithm

An Early Time-Series Classification Suite For Benchmarking made for the use of CER group, Institute of Informatics, NCSR "Demokritos"

Machine_learning_projects ⭐ 6

In this projects is build for some machine learning algorithms. It is used for beginner to intermediate. so i hope that's used for all.

Trendster ⭐ 5

Galvanize Capstone Project Repo: demystifying the evolution of topics over time.

Iitk_motor_eeg ⭐ 5

Motor Imagery EEG signal Classification on DWT

Machine Learning ⭐ 5

Basic ML concepts in Python and R

Machine_learning_basics ⭐ 5

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

Actuarial Reserve Risk Classification With Gaussian Mixture ⭐ 5

Classification of reserve risk with chain-ladder

Machine_learning_from_scratch ⭐ 5

Sklearn's machine learning methods from scratch.(Regression, Classification and Clustering)

Jaspmachinelearning ⭐ 5

The Machine Learning Module

Winequalitymachinelearninganddataanalysis ⭐ 5

Data Analysis and Machine Learning on Wine Dataset

Multi Class Classification ⭐ 5

Deployment of a classification model on a webapp using FLASK for the backend and html/CSS/JS for frontend

R package for the GenSVM classifier

Music Songs Genre Dataset ⭐ 5

Classification & Implementation of Machine Learning ALgorithms on Music Dataset

Machine Learning ⭐ 5

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