625 Open source projects that are alternatives of or similar to onelearn

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

🍊 📊 💡 Orange: Interactive data analysis

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

Machine Learning in R

This repository consists of all my Machine Learning Projects.

Vectorized Machine Learning in Python 🐍 From Scratch

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.

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Julia package of loss functions for machine learning.

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

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

ugtm: a Python package for Generative Topographic Mapping

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

Tribuo - A Java machine learning library

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

A Julia machine learning framework

R package to interface with OpenML

《深度学习与计算机视觉》配套代码

GPstuff - Gaussian process models for Bayesian analysis

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Code for Java Deep Learning Cookbook

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

Apparel detection using deep learning

Scala Library/REPL for Machine Learning Research

A New, Interactive Approach to Learning Data Science

🏭 JavaScript Machine Learning Toolkit

Handwritten Digit Recognition using Machine Learning and Deep Learning

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

An Interactive Approach to Understanding Deep Learning with Keras

Statistical Machine Intelligence & Learning Engine

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

Yet another neural network library

PHP-ML - Machine Learning library for PHP

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

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

MLBox is a powerful Automated Machine Learning python library.

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

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

Artificial Neural Networks for Scala

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

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

Examples use case of PHP-ML library.

Code and Resources for "Applied Machine Learning"

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.

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

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

Ruby Scoring API for PMML

LAMA - automatic model creation framework

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Comparison tools

This is the implementation of Sparse Projection Oblique Randomer Forest

A curated list of data mining papers about fraud detection.

Misc Statistics and Machine Learning codes in R

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

IPython widgets, interactive plots, interactive machine learning

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

A random forest

Machine Learning algorithms coded from scratch