1210 Open source projects that are alternatives of or similar to projection-pursuit

Python Machine Learning Algorithms

IPython widgets, interactive plots, interactive machine learning

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D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

🤖 A portable, header-only, artificial neural network library written in C99

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Comparison tools

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Julia package of loss functions for machine learning.

This repository consists of all my Machine Learning Projects.

GPstuff - Gaussian process models for Bayesian analysis

Scala Library/REPL for Machine Learning Research

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

A scikit-learn based module for multi-label et. al. classification

Code and Resources for "Applied Machine Learning"

Apparel detection using deep learning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

A high-level machine learning and deep learning library for the PHP language.

《深度学习与计算机视觉》配套代码

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

R package to interface with OpenML

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Machine Learning in R

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Collection of stats, modeling, and data science tools in Python and R.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

LAMA - automatic model creation framework

Code for Java Deep Learning Cookbook

Simple code build dashboard

This repository is a recommended track, designed to get started with Machine Learning.

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

How to test your python code. How to automatically run your tests for your Python code. How to get reports of the tests coverage

MLBox is a powerful Automated Machine Learning python library.

Text processing library for sentiment analysis and related tasks

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

A collection of all projects pertaining to different layers in the SDC software stack

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ugtm: a Python package for Generative Topographic Mapping

Online machine learning methods

A collection of online books for data science, computer science and coding!

Predicting Google’s stock price using regression

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

Vectorized Machine Learning in Python 🐍 From Scratch

A Python package for fitting Quinlan's Cubist regression model

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Measure and visualize machine learning model performance without the usual boilerplate.

Predicting forex binary options using time series data and machine learning

A solid test setup for React components with Mocha, Chai, Sinon, Enzyme in a Webpack/Babel application.

A ready-to-use Template for Rest API using spring-boot-microservices, MongoDB as Database, Integrated with codecov and sonarqube, deployable to cloud.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification