827 Open source projects that are alternatives of or similar to ugtm

R package to interface with OpenML

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

PHP-ML - Machine Learning library for PHP

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Scala Library/REPL for Machine Learning Research

Yet another neural network library

MLBox is a powerful Automated Machine Learning python library.

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Machine Learning in R

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

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.

Tribuo - A Java machine learning library

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

A collection of tools for chemometrics and machine learning written in Julia.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Artificial Neural Networks for Scala

Comparison tools

《深度学习与计算机视觉》配套代码

LAMA - automatic model creation framework

Apparel detection using deep learning

A PureScript, browser-based implementation of simple linear regression.

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

Code for Java Deep Learning Cookbook

Implementation of a Partial Least Squares Regressor

The repository provides usefull python scripts for ML and data analysis

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Code for Tensorflow Machine Learning Cookbook

A Julia machine learning framework

Statistical Machine Intelligence & Learning Engine

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

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

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

Julia package of loss functions for machine learning.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

GPstuff - Gaussian process models for Bayesian analysis

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

IPython widgets, interactive plots, interactive machine learning

This repository consists of all my Machine Learning Projects.

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

Examples use case of PHP-ML library.

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

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

🍊 📊 💡 Orange: Interactive data analysis

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

All Machine Learning Algorithms

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

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

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

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

A random forest

A simple machine learning framework written in Swift 🤖

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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

Code and Resources for "Applied Machine Learning"

Machine Learning Concepts with Concepts

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

Machine Learning algorithms coded from scratch