2900 Open source projects that are alternatives of or similar to Smile

A Julia machine learning framework

Rust numeric library with R, MATLAB & Python syntax

Machine Learning in R

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

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

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

Artificial Neural Networks for Scala

IPython widgets, interactive plots, interactive machine learning

An open-source, low-code machine learning library in Python

Math.NET Numerics

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

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

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

R package to interface with OpenML

🍊 📊 💡 Orange: Interactive data analysis

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Multi-class confusion matrix library in Python

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

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

LAMA - automatic model creation framework

This repository consists of all my Machine Learning Projects.

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

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

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

The repository provides usefull python scripts for ML and data analysis

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

All Algorithms implemented in R

Telegram Data Clustering contest solution by Mindful Squirrel

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

PHP-ML - Machine Learning library for PHP

Teaching Materials for Dr. Waleed A. Yousef

mlr3: Machine Learning in R - next generation

The foundational library of the Morpheus data science framework

Java dataframe and visualization library

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

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

Tribuo - A Java machine learning library

Code for Tensorflow Machine Learning Cookbook

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.

MLBox is a powerful Automated Machine Learning python library.

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.

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

Nonlinear Nonparametric Statistics

Minimalistic Multiple Layer Neural Network from Scratch in Python.

Human-explainable AI.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Various methods for generating synthetic data for data science and ML

Distributed and Graph-based Structure from Motion

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Complete path for a beginner to become a Machine Learning Scientist!

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

High-quality implementations of standard and SOTA methods on a variety of tasks.

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Immutable data frame for Go

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

Artificial Neural Network

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

My Answer to 120 Data Science Interview Questions